WO2021016892A1 - Method for analyzing regularity evaluation information, monitoring device and monitoring system - Google Patents

Method for analyzing regularity evaluation information, monitoring device and monitoring system Download PDF

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Publication number
WO2021016892A1
WO2021016892A1 PCT/CN2019/098456 CN2019098456W WO2021016892A1 WO 2021016892 A1 WO2021016892 A1 WO 2021016892A1 CN 2019098456 W CN2019098456 W CN 2019098456W WO 2021016892 A1 WO2021016892 A1 WO 2021016892A1
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pulse
value
evaluation information
characteristic value
pulse wave
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PCT/CN2019/098456
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French (fr)
Chinese (zh)
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张飞
金星亮
何先梁
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深圳迈瑞生物医疗电子股份有限公司
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Priority to CN201980098034.XA priority Critical patent/CN114040705A/en
Priority to PCT/CN2019/098456 priority patent/WO2021016892A1/en
Publication of WO2021016892A1 publication Critical patent/WO2021016892A1/en

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure

Definitions

  • This application relates to the field of medical devices, in particular to an evaluation method, monitoring equipment and monitoring system for regular evaluation information.
  • ECG Electrocardiograph, electrocardiogram
  • This application provides an analysis method, monitoring equipment, and monitoring system for regularity evaluation information, which can realize the accurate monitoring of the regularity of the heart rhythm by the monitoring equipment through non-ECG technology.
  • An embodiment of the present application provides a method for analyzing regularity evaluation information.
  • the method includes: acquiring a periodic physiological signal of a measurement object through a sensor, wherein the sensor is a non-cardiac sensor; and from the periodic physiological signal The pulse wave signal related to the measurement object is extracted; according to the pulse wave signal, regularity evaluation information is obtained by analysis.
  • An embodiment of the present application also provides a method for analyzing regularity evaluation information.
  • the method includes: acquiring periodic physiological signals of a measurement object through a first sensor, wherein the first sensor is a non-cardiograph sensor;
  • the second sensor acquires signals of other physiological signs of the human body; extracts pulse wave signals related to the measurement object from the periodic physiological signals; and obtains regularity evaluation information according to the pulse wave signals and the other physiological signs.
  • An embodiment of the present application also provides a monitoring device, which includes a sensor and a processor.
  • the sensor is used to obtain periodic physiological signals of the measuring object.
  • the processor is configured to extract a pulse wave signal related to the measurement object from the periodic physiological signal, and obtain regularity evaluation information according to the analysis of the pulse wave signal; wherein the sensor is a non-cardiac sensor.
  • An embodiment of the application also provides a monitoring device, which includes a first sensor, at least one second sensor, and a processor.
  • the first sensor is used to obtain periodic physiological signals of the measurement object, wherein the first sensor is a non-cardiograph sensor; the at least one second sensor is used to obtain signals of other physiological signs of the human body.
  • the processor is configured to extract a pulse wave signal related to the measurement object from the periodic physiological signal; obtain regularity evaluation information according to the pulse wave signal and the other physiological sign signals.
  • An embodiment of the present application also provides a monitoring system, the monitoring system includes a monitoring device, the monitoring device includes a sensor and a processor; the sensor is used to obtain the periodic physiological signal of the measurement object; the processor is used to The pulse wave signal related to the measurement object is extracted from the periodic physiological signal, and regularity evaluation information is obtained by analyzing the pulse wave signal; wherein the sensor is a non-cardiograph sensor.
  • the monitoring device includes a first sensor, at least one second sensor, and a processor.
  • the first sensor is used to obtain periodic physiological signals of the measurement object, wherein the first sensor is a non-cardiograph sensor; the at least one second sensor is used to obtain other physiological signs of the human body; the processor is used Extracting the pulse wave signal related to the measurement object from the periodic physiological signal; obtaining regularity evaluation information according to the pulse wave signal and the other physiological sign signals.
  • the embodiment of the present application also provides a computer-readable storage medium, in which program instructions are stored, and the program instructions are used to execute an analysis method after being called by a computer.
  • the method includes: acquiring a periodic physiological signal of a measuring object through a sensor, wherein the sensor is a non-electrocardiographic sensor; extracting a pulse wave signal related to the measuring object from the periodic physiological signal; The pulse wave signal is analyzed to obtain the regularity evaluation information.
  • the method includes: acquiring a periodic physiological signal of the measurement object through a first sensor, wherein the first sensor is a non-cardiac sensor; acquiring other physiological signs of the human body through at least one second sensor; The pulse wave signal related to the measurement object is extracted from the periodic physiological signal; the regularity evaluation information is obtained according to the pulse wave signal and the other physiological sign signals.
  • the analysis method, monitoring equipment, and monitoring system disclosed in the present application extract pulse wave signals from periodic physiological signals obtained by sensors, and identify the fluctuation rhythm of the pulse wave based on the pulse wave signals, which is information associated with the heart beat rhythm, To obtain the regularity evaluation information, the monitoring equipment can be used to accurately obtain the regularity evaluation information through non-ECG technology.
  • Fig. 1 is a schematic diagram of a monitoring system used in a hospital according to an embodiment of the application.
  • FIG. 2 is a flowchart of a method for analyzing regularity evaluation information in an embodiment of the application.
  • FIG. 3 is a schematic diagram of displaying prompt information in an embodiment of the application.
  • FIG. 4 is a schematic diagram of displaying prompt information in another embodiment of the application.
  • FIG. 5 is a schematic diagram of displaying prompt information in still another embodiment of the application.
  • FIG. 6 is a schematic diagram of displaying prompt information in other embodiments of the application.
  • FIG. 7 is a schematic diagram of displaying prompt information in other embodiments of the application.
  • FIG. 8 is a schematic diagram of displaying prompt information in other embodiments of the application.
  • FIG. 9 is a schematic diagram of an interface displaying prompt information in an embodiment of the application.
  • FIG. 10 is a schematic diagram of an interface displaying prompt information in another embodiment of the application.
  • FIG. 11 is a flowchart of the quality evaluation process in the evaluation method shown in FIG. 2.
  • FIG. 12 is a flowchart of a method for analyzing regularity evaluation information in another embodiment of the application.
  • FIG. 13 is a further flowchart of the analysis method shown in FIG. 12.
  • FIG. 14 is another further flowchart of the analysis method shown in FIG. 12.
  • Fig. 15 is a flowchart of the filter selection process in the evaluation method shown in Fig. 12.
  • Fig. 16 is a block diagram of a monitoring device in an embodiment of the application.
  • FIG. 17 is a block diagram of a monitoring device in another embodiment of the application.
  • FIG. 18 is a system framework diagram of a multi-parameter monitor or module assembly in an embodiment of the application.
  • FIG. 1 is a schematic diagram of a monitoring system 100 used in a hospital.
  • the monitoring system 100 can store the data monitored by wearable monitors or bedside monitors as a whole, and centrally manage patient information and nursing information, both The associated storage is convenient for the preservation of historical data and associated alarms.
  • the monitoring system 100 shown in FIG. 1 the monitoring system 100 includes at least one monitoring device 200 and at least one monitoring management device 300.
  • the at least one monitoring device 200 may include one of a mobile monitoring device and a bedside monitoring device, which is used to directly monitor measurement objects such as patients.
  • the at least one monitoring management device 300 includes at least one of department-level workstation equipment and hospital-level data center/hospital-level emergency center management equipment.
  • the at least one monitoring device 200 may include a mobile monitoring device 201 and a bedside monitoring device 202.
  • the portable monitoring device 200 is a wearable monitoring device.
  • a bedside monitoring device 202 may be provided for each hospital bed, and the bedside monitoring device 202 may be a multi-parameter monitor or a plug-in monitor.
  • each bedside monitoring device 202 can also be paired and transmitted with a mobile monitoring device 201.
  • the mobile monitoring device 201 provides a simple and portable multi-parameter monitor or module component, which can be worn on the patient's body and corresponding to the patient's mobile For monitoring, after wired or wireless communication between the mobile monitoring device 201 and the bedside monitoring device 202, the patient status data generated by the mobile monitoring can be transmitted to the bedside monitoring device 202 for display.
  • the monitoring management equipment 300 may include department-level workstation equipment 301 and hospital-level data center/hospital-level emergency center management equipment 302.
  • the mobile monitoring equipment 201 transmits patient status data generated by mobile monitoring to the department-level workstation equipment 301 is for viewing by doctors or nurses, or transmitted to hospital-level data center/hospital-level emergency center management equipment 302 through the bedside monitoring device 202 for storage and/or display.
  • the mobile monitoring device 201 can also directly transmit the patient status data generated by mobile monitoring to the department-level workstation device 301 for storage and display through the wireless network node N1 set in the hospital, or transfer the patient status data generated by the mobile monitoring device 301 through the wireless network node N1 set in the hospital.
  • the patient status data generated by the mobile monitoring is transmitted to the hospital-level data center/hospital-level emergency center management equipment 302 for storage.
  • the data corresponding to the patient status parameters displayed on the bedside monitoring device 202 can be derived from a sensor accessory directly connected to the bedside monitoring device 202, or from the mobile monitoring device 201, or from the department-level workstation device 301, Hospital-level data center/hospital-level emergency center management equipment 302.
  • each mobile monitoring device 201 can also store the patient status data collected by itself, and the bedside monitoring device 202 can also store the patient status data collected by the sensor accessory connected to the bedside monitor, and store the data from the mobile monitoring device 201.
  • Department-level workstation equipment 301 and hospital-level data center/hospital-level emergency center management equipment 302 can store patient status data sent by any mobile monitoring device 201.
  • FIG. 2 is a flowchart of a method for analyzing regularity evaluation information in an embodiment of this application.
  • the analysis method of the present application can be applied to, for example, the monitoring system 100 or the monitoring device 200 described above.
  • the monitoring device 200 is equipped with a sensor.
  • the method for analyzing regularity evaluation information includes the following steps:
  • the periodic physiological signal of the measurement object is acquired by a sensor, wherein the sensor is a non-cardiograph sensor (S21).
  • a pulse wave signal related to the measurement object is extracted from the periodic physiological signal (S22).
  • the step S22 includes: filtering, amplifying, and A/D conversion (digital-to-analog conversion) processing on the periodic physiological signal to extract the pulse wave signal.
  • the pulse wave signal contains at least one single pulse wave waveform.
  • the regularity evaluation information is obtained by analysis (S23).
  • the current ECG technology collects real-time changes in the potential difference of the human body surface through an electrocardiogram sensor, and records it in the form of lead waveforms with an electrocardiogram.
  • the electrical activity of the heart reflected on the electrocardiogram can assist doctors in diagnosing lesions in the corresponding position of the heart.
  • the “non-cardiac sensor” used in this application can also be connected to the human body to collect and transmit physiological signals used to assist in the diagnosis of the heart.
  • the biggest difference of "electric sensors” is that "non-cardioelectric sensors” do not collect the potential difference of the human body surface in real time.
  • this type of sensor is referred to as a "non-cardiac sensor".
  • the non-cardiac sensor can radiate light of different wavelengths into the tissue area of the corresponding part of the subject, detect the light signal sent through the tissue area, and extract the light signal from the light signal. The photoplethysmography signal generated by the light absorption of the tissue area is used to obtain the pulse wave signal.
  • the non-ECG sensor can control the cuff to be inflated to a certain pressure by setting the cuff on a specified part of the body, so that the cuff compresses the artery, and then gradually deflates. In the deflation process or During the inflation process, the pressure in the cuff is sampled, the pulse wave under this pressure is detected, and the pulse wave signal is obtained.
  • the pulse wave signal is extracted from the periodic physiological signal obtained by the sensor, and the fluctuation rhythm of the pulse wave is identified based on the pulse wave signal, which is related to the heart beat rhythm, to obtain regularity evaluation information
  • the ability to use "non-ECG sensors" instead of ECG technology can accurately obtain regularity evaluation information.
  • the pulse wave is screened for regularity according to the pulse wave signal extracted above, and the corresponding pulse and pulse related information and/or regularity evaluation information within a period of time are obtained.
  • the wave-related information and/or regularity evaluation information includes at least the corresponding pulse wave-related information and/or regularity evaluation information when an irregular pulse wave occurs.
  • the step S23 "analyzing and obtaining regularity evaluation information according to the pulse wave signal" includes: "obtaining a characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal; analyzing the characteristic value To regular evaluation information".
  • the step of "obtaining characteristic values that characterize the fluctuation rhythm of the pulse wave according to the pulse wave signal” includes: adopting at least one analysis technique of time domain technology, frequency domain technology, and nonlinear dynamics technology Perform feature extraction on the pulse wave signal to obtain corresponding at least one feature value.
  • one analysis technique or multiple analysis techniques may be used in combination to perform feature extraction on the pulse wave signal to obtain the corresponding at least one/class feature value.
  • the step of "obtaining a characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal” includes: using a time domain technique to perform feature extraction on the pulse wave signal to obtain at least one time domain characteristic value.
  • only the time domain technique may be used to perform feature extraction on the pulse wave signal to obtain at least one time domain feature value.
  • the at least one time domain characteristic value includes a waveform shape characteristic value
  • the waveform shape characteristic value includes at least one of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, pulse width, etc.
  • the pulse interval refers to the time interval between two single pulses, which can be the time interval between the peak and the peak, the valley and the valley, or the time interval between any corresponding points on two single pulses. The interval can be adjacent or non-adjacent.
  • the single pulse in this article can be a pulse wave or a single pulse collected using other forms. Pulse amplitude refers to the difference between the peak and trough of the wave.
  • the pulse slope refers to the slope of either the rising section or the falling section of the pulse wave.
  • Pulse area refers to the time integral of the pulse wave between two adjacent troughs or between the start to the end of a single pulse.
  • Pulse envelope refers to the envelope formed by the connection between wave crests and crests (or troughs and troughs).
  • Pulse width refers to the length of time from the start to the end of a single pulse.
  • the step of "obtaining characteristic values that characterize the fluctuation rhythm of the pulse wave according to the pulse wave signal” may further include: using frequency domain technology to convert the pulse wave signal into a frequency domain signal, and then comparing the frequency domain signal Perform feature extraction to obtain at least one frequency domain feature value.
  • only frequency domain technology may be used to perform feature extraction on the pulse wave signal to obtain at least one frequency domain feature value.
  • the frequency domain feature value includes one of a spectrum feature and a power spectrum feature.
  • the spectrum feature may include: one of the characteristic information of spectrum peak, spectrum interval, spectrum amplitude, spectrum area, spectrum slope, and spectrum envelope, etc.
  • the spectrum peak includes the spectrum peak amplitude, which refers to the height of the spectrum peak;
  • the spectral peak includes the position of the spectral peak, which refers to the frequency position corresponding to the spectral peak; the spectral peak may also include the number of spectral peaks, which refers to the number of spectral peaks in the frequency band in the frequency spectrum.
  • the spectrum interval refers to the interval between any two frequencies
  • the spectrum amplitude refers to the amplitude corresponding to each frequency in the spectrum
  • the spectrum area refers to the integral of the spectrum in the frequency band
  • the spectrum slope refers to any rise in the spectrum
  • the spectrum envelope refers to the envelope formed by the connection between the spectrum peaks.
  • the power spectrum feature may include: power spectrum peak, power spectrum interval, power spectrum amplitude, power spectrum area, power spectrum slope, power spectrum envelope, etc., and power spectrum peak includes power spectrum peak amplitude, which refers to Is the height of the power spectrum peak; the power spectrum peak includes the power spectrum peak position, which refers to the frequency position corresponding to the power spectrum peak; the power spectrum peak can also include the number of power spectrum peaks, which refers to the power spectrum in the frequency band in the power spectrum The number of peaks.
  • the power spectrum interval refers to the interval between any two frequencies
  • the power spectrum amplitude refers to the amplitude corresponding to each frequency in the power spectrum
  • the power spectrum area refers to the integral of the power spectrum in the frequency band
  • the power spectrum slope refers to It is the slope of any rising or falling section in the power spectrum
  • the power spectrum envelope refers to the envelope formed by connecting power spectrum peaks.
  • the step of "obtaining characteristic values that characterize the fluctuation rhythm of the pulse wave according to the pulse wave signal” may further include: using nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least one non- Characteristic values of linear dynamics.
  • only the nonlinear dynamics technology may be used to perform feature extraction on the pulse wave signal to obtain at least one nonlinear dynamics feature value.
  • the calculation result of the nonlinear dynamic characteristic value is compared with the corresponding preset threshold, so as to identify the irregular pulse wave signal, extract the irregular pulse wave signal in a period of time, based on the irregular pulse wave signal in a period of time Signal, output pulse wave related information and/or regularity evaluation information corresponding to the irregular pulse wave signal.
  • analysis methods such as time domain analysis, frequency domain analysis, and machine learning can be used to determine pulse wave waveform related information, such as pulse interval.
  • the user can further determine the regularity evaluation information based on the pulse wave waveform related information displayed by the output.
  • the nonlinear dynamics characteristic value includes entropy or complexity.
  • the entropy includes, but is not limited to, information entropy, spectral entropy, approximate entropy, sample entropy, fuzzy entropy and other entropy features.
  • the method further includes: converting the extracted characteristic value into an intermediate characteristic value; the step " Analyzing the characteristic value to obtain regularity evaluation information” may include: analyzing the intermediate characteristic value to obtain regularity evaluation information.
  • the intermediate characteristic value includes a pulse rate value
  • the converting the extracted characteristic value into an intermediate characteristic value includes: converting the extracted characteristic value into a pulse rate value.
  • the analyzing based on the intermediate characteristic value to obtain regularity evaluation information includes: performing analysis based on the pulse rate value to obtain regularity evaluation information.
  • the analysis based on the pulse rate value to obtain the regularity evaluation information includes: obtaining the difference between pulse rates, when it is satisfied that the difference between several consecutive adjacent pulse rates exceeds the threshold, or Among N adjacent pulse rate differences, at least n exceed the threshold, or there is a pulse rate that exceeds or is less than the average pulse rate (threshold), or the standard deviation of the pulse rate divided by the average pulse rate exceeds the threshold When it is judged to be irregular.
  • the intermediate characteristic value includes a pulse sound characteristic value
  • converting the extracted characteristic value into an intermediate characteristic value includes: converting the extracted characteristic value into a pulse sound characteristic value.
  • the analyzing based on the intermediate characteristic value to obtain the regularity evaluation information includes: analyzing based on the pulse sound characteristic value to obtain the regularity evaluation information.
  • the analysis based on the pulse sound characteristic value to obtain the regularity evaluation information includes: obtaining the pulse sound interval, and when the difference between several consecutive adjacent intervals exceeds a threshold, or in N phases When the difference between adjacent intervals meets at least n differences exceeding the threshold, or there is an interval exceeding or smaller than the interval average value (threshold), or the interval standard deviation divided by the interval average exceeding the threshold, it is judged that it is suspected to be irregular.
  • said converting the extracted characteristic value into a pulse sound characteristic value includes: determining the arrival time of the peak or trough of the pulse according to the extracted characteristic value, and marking the peak or trough at the arrival time of the peak or trough; The peak or trough mark generates pulse sound characteristic values.
  • the analysis based on the characteristic value of the pulse sound to obtain the regularity evaluation information may further include: marking the peaks or troughs of the pulse wave signal within a period of time or several cycles to obtain at least two To obtain at least two pulse sound feature values generated by at least two wave crest marks or at least two trough marks; statistical analysis and/or machine learning methods are used to compare the at least two pulse sound feature values Perform analysis to obtain the regularity evaluation information.
  • At least two pulse sound feature values can be generated based on at least two wave crest marks, or at least two pulse sound feature values can be generated based on at least two wave trough marks.
  • the pulse sound characteristic value may also be a certain value selected between the peaks and troughs according to a preset rule, as long as it can represent the pulse interval, which is not limited here.
  • the analyzing the at least two pulse sound characteristic values through statistical analysis and/or machine learning to obtain the regularity evaluation information may include: performing statistical analysis on the at least two pulse sound Analyzing the characteristic values of pulse sounds to obtain statistical analysis data, and obtaining the regularity evaluation information according to the statistical analysis data; and/or using machine learning methods to use the at least two pulse sound characteristic values as inputs, and The output of the regularity evaluation information is obtained.
  • the use of at least one analysis technology of time domain technology, frequency domain technology, and nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least one feature value may also specifically include: At least one analysis technology of time domain technology, frequency domain technology and nonlinear dynamics technology is used to extract features of the pulse wave signal to obtain at least two types of feature values, according to the two types of feature values and the weight of each type of feature value It is worth the final characteristic value.
  • the same pulse wave signal can be analyzed by multiple analysis techniques Analyze, integrate the multiple types of feature values obtained by multiple technologies and the weight value of each type of feature value to obtain the final feature value of the waveform, which improves the accuracy of feature value acquisition.
  • the weight value of the time domain feature value and the weight value of the frequency domain feature value may be preset.
  • the multiple different feature values include multiple types of feature values (such as time domain feature values, frequency domain feature values, etc.) analyzed through different analysis techniques and/or multiple types of different features analyzed through the same analysis technology. Characteristic values (such as pulse interval, slope, etc.).
  • the step of "analyzing the characteristic value to obtain regularity evaluation information” includes: comparing the at least one characteristic value with the corresponding at least one characteristic value threshold, and obtaining the regularity evaluation according to the comparison result Information; and/or through a machine learning method, the at least one feature value is used as an input to obtain the output of the regularity evaluation information. Understandably, “rules” and “irregularities” can be identified in a variety of ways, rather than just textual representations, as long as they can be used to indicate that the current regularity evaluation information is suspected to be regular or irregular, regular or irregular. can.
  • the regularity evaluation information is the conclusion information indicating "suspected rules", “suspected irregularities”, “rules” or “irregularities”. Due to the homology of pulse and heart rhythm, the regularity evaluation information may include at least one of pulse regularity evaluation information and heart rhythm regularity evaluation information.
  • the regularity evaluation information in the present application refers to: the type of regularity evaluation information includes the evaluation results used to indicate regular or irregular pulse beats and/or heart rhythms.
  • the regularity evaluation information used to indicate the rule or irregularity can be obtained directly according to the characteristic value of the pulse wave signal that represents the fluctuation rhythm of the pulse wave.
  • the characteristic value may include at least one of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, pulse width, and may also include spectral characteristic values, power spectral characteristic values, etc., It can also include entropy, complexity, etc.
  • the at least one characteristic value may be a characteristic value of pulse interval
  • the preset threshold may be a preset pulse interval range
  • the step of "obtaining characteristic values that characterize the fluctuation rhythm of the pulse wave according to the pulse wave signal” may further include: performing feature extraction on the pulse wave signal of a period of time or several cycles to obtain at least two A feature value; the at least two feature values are analyzed by a statistical analysis method and/or a machine learning method to obtain the regularity evaluation information.
  • performing feature extraction on the pulse wave signal of a period of time or several cycles to obtain at least two feature values may also be: using at least one analysis technique of time domain technology, frequency domain technology and nonlinear dynamics technology to Feature extraction is performed on pulse wave signals of a certain period of time or several cycles to obtain at least two feature values.
  • the time period may be a randomly selected time period or a preset time period, and the several cycles may be multiple randomly selected cycles or a preset number of cycles.
  • the “analyzing the at least two characteristic values through a statistical analysis method and/or a machine learning method to obtain the regularity evaluation information” may include: analyzing the at least two characteristic values through a statistical analysis method. The characteristic value is analyzed to obtain statistical analysis data, and the regularity evaluation information is obtained according to the statistical analysis data; and/or the at least two characteristic values are used as input through a machine learning method to obtain the rule The output of sexual evaluation information.
  • the statistical analysis data may be the maximum value, the sum, the ratio, the integral, the difference, the mean, the standard deviation, the maximum interval, the minimum interval, the pulse variability, the number of mutations, and the maximum based on the aforementioned characteristic values.
  • said obtaining the regularity evaluation information according to the statistical analysis data may include adding the maximum value, sum, ratio, integral, difference, Statistical analysis data such as mean, standard deviation, maximum interval, minimum interval, pulse variability, number of variations, maximum pulse rate value, minimum pulse rate value and the preset maximum value, sum, ratio, integral, difference, etc.
  • the mean, standard deviation, maximum interval, minimum interval, pulse variability, number of variations, maximum pulse rate, minimum pulse rate and other preset statistical data are compared, and the results are used to express regular or irregular statistics.
  • the regular evaluation information is compared, and the results are used to express regular or irregular statistics.
  • the statistical analysis data includes at least one of frequency domain statistical analysis data, nonlinear dynamic characteristic statistics, pulse frequency related quantity statistics, time domain characteristic value statistical analysis data, and variation related quantities.
  • the frequency domain statistical analysis data includes at least one of the spectrum feature statistics and the power spectrum feature statistics.
  • the spectrum feature statistics include one of the single spectrum feature statistics and the multiple spectrum feature statistics.
  • the single spectrum feature statistics include: within a single spectrum, different spectrum peak amplitudes, spectrum peak positions, and spectrum The maximum value, mean value, ratio, difference, sum, integral, standard deviation, distribution statistics, etc. of these features such as interval, spectrum amplitude, spectrum area, and spectrum slope, as well as statistical analysis values of spectrum feature statistics, such as spectrum interval difference The average value, the standard deviation of the spectral interval difference, etc.
  • Multi-spectral feature statistics include: the peak amplitude, number of peaks, peak position, spacing, amplitude, area, and slope of these features, such as the maximum value, mean value, Ratio, difference, summation, integral, standard deviation, distribution statistics, etc., as well as statistical analysis values of spectral feature statistics, such as the standard deviation of the maximum spectral peak position difference between spectra, and the maximum spectral peak position difference between spectra exceed a predetermined value The number of values, etc.
  • the power spectrum feature statistics include one of the single power spectrum feature statistics and the multi-power spectrum feature statistics.
  • the single power spectrum feature statistics include: within a single power spectrum, different power spectrum peak amplitudes, Power spectrum peak position, power spectrum interval, power spectrum amplitude, power spectrum area, power spectrum slope and other characteristics of the maximum value, mean value, ratio, difference, sum, integral, standard deviation, distribution statistics, etc., and power spectrum feature statistics The statistical analysis value of the quantity, such as the average value and standard deviation of the power spectrum interval difference.
  • Multi-power spectrum feature statistics include: power spectrum peak amplitude, number of power spectrum peaks, power spectrum peak position, power spectrum interval, power spectrum amplitude, power spectrum area, power spectrum slope between corresponding power spectrums at different time periods within a period of time Such as the maximum value, mean value, ratio, difference, sum, integral, standard deviation, distribution statistics, etc. of these features, as well as the statistical analysis value of the power spectrum feature statistics, such as the standard of the maximum power spectrum peak position difference between the power spectra Difference, the number of the maximum power spectrum peak position difference between power spectra exceeding a predetermined value, etc.
  • the nonlinear dynamic characteristic statistics include statistical analysis data of nonlinear dynamic characteristic values.
  • Time-domain characteristic value statistical analysis data refers to the analysis results of time-domain characteristic values based on statistical analysis methods for a period of time. It can include at least the difference in pulse interval, the difference in pulse amplitude, the difference in pulse slope, and the pulse area.
  • the average value of pulse interval refers to the average value of pulse interval in a period of time.
  • the difference in pulse interval refers to the difference between pulse intervals.
  • the average value of the pulse interval difference refers to the average value of the pulse interval difference in a period of time.
  • the integral of the pulse interval difference refers to the integral value obtained by integrating the pulse interval difference within a time period.
  • the sum of pulse intervals refers to the sum of pulse intervals.
  • the ratio of pulse interval refers to the ratio of different pulse intervals.
  • the standard deviation of the pulse interval refers to the standard deviation of the pulse interval in a period of time.
  • the difference in pulse width refers to the difference in pulse width.
  • the average value of pulse width refers to the average value of pulse width in a period of time.
  • the difference in pulse width refers to the difference between pulse widths.
  • the average value of the pulse width difference refers to the average value of the pulse width difference over a period of time.
  • the integral of the pulse width difference refers to the integral value obtained by integrating the pulse width difference within a time period.
  • the standard deviation of the pulse width refers to the standard deviation of the pulse width in a period of time.
  • the sum of pulse width refers to the sum of pulse widths.
  • the pulse width ratio refers to the ratio between different pulse widths.
  • the difference in pulse amplitude refers to the difference between the pulse amplitudes.
  • the average value of pulse amplitude refers to the average value of pulse amplitude in a period of time.
  • the standard deviation of the pulse amplitude refers to the standard deviation of the pulse amplitude in a period of time.
  • the sum of pulse amplitudes refers to the sum of pulse amplitudes in a period of time.
  • the ratio of pulse amplitude refers to the ratio between different pulse amplitudes.
  • the average value of the pulse amplitude difference refers to the average value of the pulse amplitude difference in a period of time.
  • the integral of the pulse amplitude difference refers to the integral value obtained by integrating the pulse amplitude difference within a time period.
  • the difference in pulse slope refers to the difference between the pulse slopes.
  • the average value of pulse slope refers to the average value of pulse slope in a period of time.
  • the standard deviation of the pulse slope refers to the standard deviation of the pulse slope in a period of time.
  • the sum of pulse slopes refers to the sum of pulse slopes in a period of time.
  • the ratio of pulse slope refers to the ratio between different pulse slopes.
  • the average value of the pulse slope difference refers to the average value of the pulse slope difference in a period of time.
  • the integral of the pulse slope difference refers to the integral value obtained by integrating the pulse slope difference within a time period.
  • the difference of pulse area refers to the difference between pulse areas
  • the mean value of pulse area refers to the mean value of the pulse area in a period of time
  • the standard deviation of pulse area refers to the standard deviation of the pulse area in a period of time. .
  • the sum of pulse areas refers to the sum of pulse areas in a period of time.
  • the ratio of pulse area refers to the ratio between different pulse areas.
  • the average value of the pulse area difference refers to the average value of the pulse area difference in a period of time.
  • the integral of the pulse area difference refers to the integral value obtained by integrating the pulse area difference within a time period.
  • Variation related quantity refers to the time domain characteristic value, pulse wave frequency correlation quantity, frequency domain characteristic, nonlinear dynamic characteristic, frequency domain characteristic statistics, nonlinear dynamic characteristic statistics, and pulse frequency correlation statistics within a period of time.
  • a measure of the change of at least one of the time-domain feature value statistics, for example, the variation related quantity includes at least one of the degree of variation and the number of variations.
  • the signal characteristic information here includes at least the time domain characteristic value, the pulse wave frequency related quantity, One of frequency domain feature values, nonlinear dynamic features, frequency domain feature statistics, nonlinear dynamic feature statistics, pulse frequency related statistics, time domain feature value statistics, etc.
  • the degree of variability may be one of the time domain feature value, the pulse wave frequency correlation value, the frequency domain feature, the nonlinear dynamics feature, and the time domain feature value statistical analysis data over a period of time, a period of time
  • the degree of difference in this article can be obtained by the combination of difference, quotient, difference and quotient.
  • the statistical analysis methods mentioned in this article include one of the mathematical statistical methods such as mean calculation, difference calculation, and standard deviation calculation.
  • the aforementioned degree of variability may refer to the degree of variability of a pulse wave with respect to the pulse wave in any period of time.
  • the aforementioned degree of variability may refer to the current pulse wave relative to the pulse wave within a period of time.
  • the degree of variability such as the variability of pulse interval. The following takes the variability of the pulse interval as an example. If the current pulse wave is the seventh pulse wave, there are six pulse intervals. Calculate at least one of the six pulse intervals and any number of pulses in the six pulse intervals. The difference between the mean of the interval, and the ratio of the difference to the mean is taken as the variability of the pulse interval.
  • the aforementioned degree of variability refers to the degree of variation of the current pulse wave relative to the previous pulse wave. For example, if the current pulse wave is the seventh pulse wave, there are six pulse intervals, and the sixth pulse wave is calculated. The difference between a pulse interval and the average of the first five pulse intervals, and the ratio of the difference to the average of the first five pulse intervals is used as the pulse interval variability.
  • the number of mutations mentioned above may refer to the number of pulse wave variations that occur within a period of time, for example, time domain feature values, pulse wave frequency correlation quantities, frequency domain features, nonlinear dynamics features, and frequency domain feature statistics within a period of time.
  • Non-linear dynamic characteristic statistics, pulse frequency related statistics, and time domain characteristic value statistics exceed the predetermined value.
  • the number of variations may be the number of times the pulse interval difference exceeds a predetermined value, or the pulse interval, the average pulse interval, the average pulse interval difference, the standard deviation of the pulse interval, and the pulse amplitude in a period of time.
  • Difference mean value of pulse amplitude, standard deviation of pulse amplitude, difference of pulse slope, mean value of pulse slope, standard deviation of pulse slope, difference of pulse area, mean value of pulse area, standard deviation of pulse area, pulse rate The number of times that one of the pulse wave signal characteristic information such as the value, the maximum pulse rate value, and the minimum pulse rate value exceeds a predetermined value.
  • rhythm quantization parameter value may include at least the feature value and the statistics of the feature value.
  • the analysis data and the preset threshold may include at least one of frequency domain characteristics, nonlinear dynamic characteristics, pulse frequency related quantities, and time domain characteristic values;
  • the statistical analysis data of the characteristic values may include frequency domain statistical analysis data, nonlinear dynamic characteristic statistics , At least one of the pulse frequency related quantity statistics, the time domain feature value statistics, and the variation related quantity;
  • the preset threshold includes the aforementioned feature value and/or the threshold corresponding to the statistical analysis data of the feature value.
  • the regularity evaluation information can be given based on the comparison of the identified rhythm quantification parameter value with the corresponding preset threshold. For example, it can be based on the comparison of the aforementioned degree of variability with the corresponding threshold, and the aforementioned number of mutations with the corresponding threshold. Compare or compare the aforementioned variation and the number of variation with the corresponding threshold respectively, and give the evaluation information of the pulse rhythm regularity according to the comparison result, so as to determine whether the pulse wave is regular. In some embodiments, it can be compared with a threshold value based on one of the identified characteristic values of the aforementioned rhythm quantization parameter values, so as to provide regularity evaluation information; or, it can also be based on two of the identified aforementioned rhythm quantization parameter values.
  • More than one (including two) feature values are respectively compared with the corresponding thresholds, and a multi-condition combination judgment is performed, thereby giving the evaluation information of the pulse rhythm regularity.
  • at least one characteristic value of the identified rhythm quantization parameter values is continuously compared with a preset threshold value.
  • the multiple comparison results meet the pulse wave rule or the pulse wave irregularity standard , Give the evaluation result about pulse wave rule or pulse wave irregularity, so as to obtain regularity evaluation information.
  • at least one characteristic value of the recognized rhythm quantization parameter value is compared with a preset threshold multiple times in a period of time.
  • the multiple comparison results represent the number of times of the pulse wave rule
  • the evaluation result of the pulse wave rule is output
  • the proportion of the number of times characterizing the pulse wave irregularity in the multiple comparison results meets the pulse wave irregular standard
  • the statistical analysis data is the pulse variability and/or the number of variability based on the aforementioned characteristic values.
  • the obtaining the regularity evaluation information according to the statistical analysis data includes:
  • the degree of variation and/or the number of variations is compared with the preset statistical data of the degree of variation and/or the number of variations to obtain the regularity evaluation information. For example, for the pulse wave signal collected within a period of time, the variability and/or the number of variability of the pulse wave signal can be counted for multiple times in succession, and the variability and/or the number of variability obtained from each statistics can be compared with the preset The variability and/or the preset statistical data of the number of variations are compared, and a preset threshold for the number of consecutive statistics is N times.
  • the variability and/or the pulse wave signal of the continuous statistics If the comparison result is greater than or equal to N times, the variability and/or the pulse wave signal of the continuous statistics If the number of mutations exceeds the preset degree of mutation and/or the preset statistical data of the number of mutations, it is determined that the regularity evaluation information of the pulse wave signal is irregular pulse. For another example, in other embodiments, the variability and/or the number of variability of the pulse wave signal in any period of time are counted multiple times, and the variability and/or the number of variability obtained from each statistic are respectively compared with the predicted number.
  • the preset statistical data of the set variance and/or the number of variances are compared, and the number of times that the variance and/or number of variances of the recorded pulse wave signal exceeds the preset statistical data of the preset variance and/or the number of variances is N1 times, the result of the N1 times of statistics can be judged that the regularity evaluation information of the pulse wave signal is irregular pulse.
  • a percentage X is preset. When the proportion of N1 in the total number of statistics is greater than or equal to X , The final judgment result is irregular pulse, otherwise, the final judgment result is regular pulse.
  • the statistical analysis data is obtained, and then the rules for representing the rule or the irregularity are obtained.
  • Sexual evaluation information may be that after statistical analysis is performed on the characteristic values representing the fluctuation rhythm of the pulse wave obtained according to the pulse wave signal, the statistical analysis data is obtained, and then the rules for representing the rule or the irregularity are obtained.
  • the time-domain feature value statistics include waveform morphological feature statistics.
  • the waveform morphological feature statistics refer to the results of analyzing waveform morphological feature values for a period of time based on statistical analysis methods, and may include at least the difference in pulse interval, Difference in pulse amplitude, difference in pulse slope, difference in pulse area, difference in pulse envelope, difference in pulse width, average pulse interval, average pulse amplitude, average pulse slope, average pulse area , The mean value of pulse envelope, the mean value of pulse width, the standard deviation of pulse interval, the standard deviation of pulse amplitude, the standard deviation of pulse wave slope, the standard deviation of pulse area, the standard deviation of pulse envelope, the standard deviation of pulse width, The sum of pulse interval, the sum of pulse amplitude, the sum of pulse slope, the sum of pulse area, the sum of pulse envelope, the sum of pulse width, the ratio of pulse interval, the ratio of pulse amplitude, the ratio of pulse slope Ratio, ratio of pulse area, ratio of pulse envelope, ratio of pulse width, average of pulse interval difference, average of pulse
  • the machine learning method may be to establish a machine learning model, such as a neural network model, through model training, so that the at least two feature values can be used as input to the machine learning model and automatically derived to represent rules or irregularities The output of the regularity evaluation information.
  • a machine learning model such as a neural network model
  • using the at least two feature values as input to obtain the output of the regularity evaluation information through a machine learning method includes:
  • machine learning models can be established through model training, such as neural network models.
  • the correlation between pulse wave related information and regularity evaluation information can be input into the training machine learning model to obtain the machine learning model after the training is completed.
  • performing machine learning on the aforementioned pulse wave signal to obtain pulse wave related information includes: the pulse wave obtained based on the pulse wave signal after time domain analysis, frequency domain analysis, or nonlinear dynamics analysis Relevant information is input into the machine learning model after training, and regular evaluation information can be automatically obtained.
  • the feature extraction is performed on the pulse wave signal of a certain period of time or several cycles to obtain at least two feature values that are different feature values obtained by feature extraction on different periods of the pulse wave signal,
  • they can be the same type of feature value or different types of feature value.
  • feature extraction is performed on multiple different time periods within a certain time period through time domain technology to obtain multiple characteristic values of the type of multiple pulse intervals.
  • it is also possible to perform feature extraction on multiple different time periods within a certain time period for example, three time periods using time domain technology, frequency domain technology, and nonlinear dynamics technology to obtain corresponding time domain features. Value, frequency domain characteristic value and nonlinear dynamic characteristic value.
  • the at least two characteristic values are characteristic values obtained by characteristic extraction of pulse wave signals of different time periods in a period of time or several cycles
  • the method of extracting each characteristic value may also be At least one analysis technology of time domain technology, frequency domain technology, and nonlinear dynamics technology performs feature extraction on the same waveform segment of the pulse wave signal to obtain at least two types of feature values, according to the two types of feature values and each type of feature
  • the weight of the value gives the final characteristic value of the waveform segment.
  • the method further includes: evaluating the quality of the pulse wave signal to obtain a quality factor; and According to the quality factor, it is determined whether to adopt or discard the pulse wave signal currently obtained. Understandably, the quality factor may be a feature obtained during the analysis and processing of the periodic physiological signal or the pulse wave signal according to step S22 or S23.
  • the method of obtaining the quality factor may be the same as the method of “obtaining the characteristic value of the fluctuation rhythm of the pulse wave according to the pulse wave signal” described above, except that the characteristic obtained is the quality factor. value.
  • the quality factor may be at least one time domain value of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, and pulse width obtained through time domain technology, or may be obtained through frequency domain technology.
  • the output includes at least one frequency domain value such as a frequency spectrum feature, a power spectrum feature value, etc., and may also be at least one nonlinear dynamics value such as entropy value and complexity obtained by nonlinear dynamics technology.
  • the quality factor may be the maximum value, ratio, sum, integral, difference, mean, standard deviation, maximum interval, minimum interval, pulse variability, number of variations, maximum pulse rate, minimum pulse rate At least one of the values.
  • the step of "analyzing the characteristic value to obtain regularity evaluation information" may include: when it is determined according to the quality factor that the currently obtained pulse wave signal can be used, according to the obtained characteristic Value is further analyzed to obtain regularity evaluation information.
  • the characteristic value is credible, and further analysis is performed directly based on the acquired characteristic value to obtain a regularity evaluation information.
  • the step of "analyzing the characteristic value to obtain regularity evaluation information" may further include: when it is determined according to the quality factor that the currently obtained pulse wave signal can be used, according to the quality factor and the acquisition The eigenvalues obtained are further analyzed to obtain regularity evaluation information.
  • the further analysis according to the quality factor and the acquired characteristic value to obtain regularity evaluation information includes: determining the weight value of the characteristic value and the weight value of the quality factor according to the quality factor; The weight value of the characteristic value and the weight value of the quality factor perform weighted calculation on the characteristic value and the quality factor to obtain a weighted characteristic value; and analyze according to the weighted characteristic value to obtain the regularity evaluation information.
  • the quality of the pulse wave signal can be analyzed according to the characteristic value to obtain the quality factor indicating the quality of the pulse wave signal, because the quality factor itself is another derived from the characteristic value.
  • the quality factor and the characteristic value obtained according to the pulse wave signal can be weighted to obtain a weighted adjustment value, and then analyzed according to the weighted characteristic value to obtain the regularity evaluation information, which can effectively improve the regularity evaluation The accuracy of the information.
  • the determining the weight value of the characteristic value and the weight value of the quality factor according to the quality factor may specifically include: comparing the obtained quality factor with a corresponding quality factor threshold, and determining the quality factor of the quality factor according to the comparison result Weight value j1; and determine the weight value of the feature value (1-j1).
  • the quality factor may include at least one quality factor, and may be different types of quality factors obtained by different analysis techniques or different types of quality factors obtained by the same analysis technique.
  • the quality factor obtained by time domain technology As an example, through time domain analysis, the following values are obtained: pulse wave amplitude standard deviation, peak-peak interval average, peak-peak interval maximum, then the pulse wave amplitude standard deviation, The peak-to-peak interval average value, the peak-to-peak interval maximum and minimum values are compared with the standard deviation threshold, the interval average threshold, and the interval maximum threshold, and the weighted value j1 of the quality factor is determined according to the comparison result. Among them, when the signal quality is better, the weight value of the corresponding quality factor is smaller; conversely, when the signal quality is worse, the weight value of the corresponding quality factor is larger.
  • the threshold may be a single threshold, or may include two thresholds, for example, a threshold range formed by the first threshold and the second threshold.
  • the weight value j1 of the quality factor ranges from 0 to 1
  • the weight value 1-j1 of the feature value also ranges from 0 to 1.
  • the better the quality signal is set the smaller the weighting value of the corresponding quality factor is: when the quality signal is better, the quality factor should be weakened, and the characteristic value obtained from the pulse wave signal at this time is also more accurate.
  • the eigenvalues should be strengthened, so in this case, the smaller the weight value of the quality factor, the greater the weight value of the eigenvalue; and vice versa.
  • the weighting value of the quality factor can be a smaller value, such as 0.2, and the eigenvalue should be strengthened, so the weight of the eigenvalue
  • the frequency spectrum of a signal can be obtained for a period of time, and the number of spectrum peaks whose spectrum peak amplitude>a is counted.
  • the further analysis based on the quality factor and the acquired characteristic value to obtain regularity evaluation information may further include:
  • the characteristic value and the quality factor coefficient are calculated to obtain the corrected characteristic value, and then the regularity evaluation information is obtained according to the corrected characteristic value.
  • the calculation is multiplication. Understandably, the calculation includes at least one of multiplication, division, subtraction, and addition. For example, when the calculation includes division, the characteristic value is divided by the quality factor coefficient. When the signal quality is higher, the quality factor coefficient is larger, and the maximum is equal to 1. When the signal quality is worse, the quality factor coefficient is smaller.
  • the method for obtaining the quality factor is the same as before, and will not be repeated here.
  • mapping the quality factor to the quality factor coefficient of the acquired feature value includes: comparing the quality factor with a corresponding quality factor threshold, and mapping the quality factor to The quality factor coefficient of the acquired characteristic value.
  • the threshold may be a single threshold, or may include two thresholds, for example, a threshold range formed by the first threshold and the second threshold.
  • the signal quality when it is satisfied that the amplitude standard deviation is ⁇ a, and the peak-to-peak interval average value/peak-to-peak interval maximum value ⁇ b, the signal quality is judged to be good, and the corresponding quality factor coefficient can be 1.
  • the signal quality is judged to be medium, and the quality factor coefficient is 0.8; when the standard deviation of amplitude> c, and the maximum value (minimum value) of the peak-to-peak interval/average value of the peak-to-peak interval>d, the signal quality is judged to be low, and the quality factor coefficient is 0.5.
  • the frequency spectrum of a signal can be obtained for a period of time, and the number of spectrum peaks whose spectrum peak amplitude>a is counted.
  • the quality factor coefficient multiplied by the eigenvalue is smaller, so that the interference signal corresponding to the eigenvalue is greatly reduced, thereby effectively avoiding interference.
  • the method further includes the step of: when the signal quality is judged to be low, obtaining a noise template signal, and performing denoising processing on the pulse wave signal based on the noise template signal to obtain the denoised pulse Wave signal.
  • the step of "obtaining the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal” may include: obtaining the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal after noise removal.
  • performing denoising processing on the pulse wave signal based on the noise template signal to obtain the denoised pulse wave signal may include: removing components corresponding to the noise template signal from the pulse wave signal to obtain the denoising Pulse wave signal after noise.
  • the analysis method further includes: outputting prompt information according to the type of the regularity evaluation information. Understandably, the way of outputting the prompt information may include text, voice, sound, light, etc. for output.
  • the prompt information includes at least one of pulse wave related information, executable function related information, and the regularity evaluation information;
  • the type of the regularity evaluation information includes an evaluation result used to indicate a rule or an irregularity
  • the pulse wave related information includes a pulse wave waveform and/or a rhythm quantization parameter value
  • the executable function is the regularity The function that can be executed next when the evaluation information meets the preset conditions.
  • the pulse wave waveform may at least include the pulse wave waveform when the regularity evaluation information is an evaluation result indicating irregularity, and may also be included when the regularity evaluation information indicates a regularity.
  • the pulse wave waveform at the time of the evaluation result may also include the pulse wave waveform shape obtained in real time in the process of acquiring the periodic physiological signal of the measuring object by the sensor.
  • the pulse wave waveform may include a waveform shape over a period of time, or a continuously generated pulse wave shape. For example, when the pulse wave waveform is a continuously generated pulse wave shape, it may be at least in the pulse wave shape.
  • a certain segment of wave form contains irregular pulse wave waveforms over a period of time.
  • the method further includes: evaluating the quality of the pulse wave signal to obtain a quality factor; and According to the quality factor, it is determined whether to adopt or discard the pulse wave signal currently obtained. Understandably, the quality factor may be a feature obtained during the analysis and processing of the periodic physiological signal or the pulse wave signal according to step S22 or S23.
  • the pulse wave The waveform may include at least the corresponding pulse wave waveform when the quality of the pulse wave signal is good, and may also include the corresponding pulse wave waveform when the quality of the pulse wave signal is bad. In other words, regardless of whether the quality factor finally determines whether to discard the currently obtained pulse wave signal, the corresponding pulse wave waveform can be output or not displayed.
  • the corresponding pulse wave waveform may include fragments of irregular pulse wave waveforms, or may include fragments of regular pulse wave waveforms.
  • the corresponding pulse wave waveform may include an irregular pulse wave waveform over a period of time.
  • Rhythm quantization parameter values may include at least one of frequency domain characteristics, nonlinear dynamic characteristics, pulse frequency related quantities, time domain feature values, statistics of time domain feature values, and variation related quantities.
  • Frequency domain features include at least one of spectrum features, power spectrum features, and so on.
  • Non-linear dynamic features include at least one of entropy and complexity, and entropy includes but is not limited to entropy features such as information entropy, spectral entropy, approximate entropy, sample entropy, and fuzzy entropy.
  • the pulse rate-related quantity includes pulse rate and a statistical analysis quantity of the pulse rate. For example, the pulse rate statistical analysis quantity includes a maximum pulse rate value and/or a minimum pulse rate value.
  • N-1 pulse rates in a period of time, in a signal with N pulse waves, N-1 pulse rates can be calculated according to the interval between adjacent pulse waves, in which the maximum and minimum pulse rates are The value is defined as the maximum pulse rate and the minimum pulse rate.
  • the time domain characteristic value includes at least one of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, pulse width, etc.
  • the rhythm quantization parameter value includes at least one of the following:
  • Statistical analysis including at least one of the maximum value, ratio, sum, integral, difference, mean, standard deviation, maximum interval, minimum interval, displayed variability, and the number of variations based on statistical analysis of at least one characteristic value data;
  • At least one threshold including the threshold of the degree of variability and the threshold of the number of mutations.
  • At least one of the threshold of the degree of variation and the threshold of the number of variations is used for reference to confirm the regularity evaluation information.
  • the monitoring device 200 further includes a display screen
  • the regularity evaluation information can be displayed in the first display area of the display screen
  • the pulse wave related information can be displayed in the second display area of the display screen.
  • Information about executable functions can be displayed in the third display area of the display screen. That is, the prompt information may specifically include at least one of the following:
  • Pulse wave related information displayed in the second display area of the display screen displayed in the second display area of the display screen
  • the type of the regularity evaluation information may include an evaluation result used to indicate a rule or an irregularity.
  • the regularity evaluation information is displayed in at least one of the following forms: text, pattern, and light.
  • the output of the prompt information according to the type of the regularity evaluation information may include: displaying the corresponding prompt information according to the type of the regularity evaluation information for indicating a rule or an irregularity.
  • the prompt information may only include the regular evaluation information P1 of "suspected irregular pulse".
  • the first display area A1 may be the entire display area of the display screen or a certain area in the current interface displayed on the display screen.
  • the current interface may be a certain functional interface or system interface of the monitoring device 200.
  • the prompt information can be displayed on the current interface in a pop-up window.
  • the prompt information may be displayed on the prompt interface after switching from the current interface to a prompt interface.
  • the regularity evaluation information P1 may also include “irregular pulse”, “irregular”, “abnormal pulse”, “abnormal”, “irregular pulse interval”, “irregular pulse rate”, and “suspected irregular pulse” “, “Suspected Atrial Fibrillation”, “Suspected Irregular Heart Rhythm” and other words that indicate irregular pulse evaluation and/or indicate the results of irregular heart rhythm evaluation, as long as it can prompt the measurement subject to present pulse/heart rhythm irregularities or There may be irregular pulse/heart rhythm, and there is no restriction on the form of expression.
  • the prompt information may be "regular pulse”, “rule”, "normal” and other text information that can prompt the measurement subject that the current pulse and/or heart rhythm is normal.
  • the prompt information includes regular evaluation information
  • the user can directly see the results of the device's intelligent analysis, which is convenient and intuitive, and facilitates the user to perform follow-up examinations, such as booking an ECG examination, ultrasound examination, etc.
  • the prompt information may only include pulse wave related information P2 displayed in the second display area A2.
  • the pulse wave related information P2 displayed in the second display area A2 includes the pulse interval: 31, 43, 33, 48, 29; the average pulse interval is 36.8; the pulse interval difference is: 12, 10, 15, 19; The average pulse interval is 14.
  • the second display area A2 may be the entire display area of the display screen or a certain area in the current interface displayed on the display screen.
  • the prompt information can be displayed on the current interface through a pop-up window.
  • the prompt information may be displayed on the prompt interface after switching from the current interface to a prompt interface.
  • the prompt information includes pulse wave related information P2
  • it can provide the user with a waveform reference for the user to confirm the regular evaluation information.
  • the prompt information may also include, for example, the regularity evaluation displayed in the first display area A1 of FIG.
  • the first display area A1 where the regularity evaluation information P1 is located is adjacent to the second display area A2 where the pulse wave related information P2 is located. Understandably, the first display area A1 and the second display area A2 may not be adjacent to each other, and may be set arbitrarily.
  • the adjacent settings of the first display area A1 and the second display area A2 can facilitate the user to intuitively view the regularity evaluation information and combine the pulse wave related information to determine the occurrence regularity of the measurement object based on the pulse wave related information Specific reasons for evaluating information.
  • the prompt information may also include, for example, regularity evaluation information P1 displayed in the first display area A1 of FIG.
  • regularity evaluation information P1 displayed in the first display area A1 of FIG.
  • the pulse wave related information P2 displayed in the second display area A2 of FIG. 4
  • the executable function related information P3 displayed in the third display area A3 of FIG. 6. Displaying the relevant information P3 of the executable function can play a role of prompting and guiding the relevant operation to be performed in the next step, so that the user can learn and execute the operation to be performed in the next step.
  • the relevant information P3 of the executable function includes: “print “(For example, print pulse wave waveform), “Schedule ECG”, “Schedule ultrasound” at least one, and may also include other functions, such as user-defined common functions.
  • the first display area A1, the second display area A2, and the third display area A3 are arranged adjacent to each other in order.
  • the first display area A1, the third display area A3, and the second display area A2 may be arranged adjacently in sequence, as long as it is ensured that multiple areas are arranged adjacently. , The order can be adjusted arbitrarily.
  • the first display area A1, the second display area A2, and the third display area A3 may also be arranged non-adjacently, and may be multiple non-adjacent areas.
  • the at least two display areas are adjacently located on the display screen. Understandably, the at least two display areas are arranged adjacently on the display screen to facilitate the user to view the regularity evaluation information, pulse wave related information, and executable function related information. In other embodiments of the present application, the display areas may not be arranged adjacently.
  • FIG. 7 is a schematic diagram of displaying prompt information in other embodiments.
  • a plurality of vital sign data item areas are displayed on the display screen of the monitoring device 200 to display different vital sign measurement parameters respectively.
  • the area of each vital sign data item shows whether the measurement parameter of non-invasive blood pressure NIBP is 120/80 (mmHg), the measurement parameter of blood oxygen SPO2 is 98 (%), the measurement parameter of pulse is 64 (bpm), and the measurement parameter of body temperature is The measurement parameter is 102.5 (F), and the measurement parameter of respiration is 20 BPM.
  • the first display area P1 and the second display area P2 are not adjacent.
  • the display screen further includes a touch area T for retracting or expanding the second display area P2 to hide or display the pulse wave related information A2 accordingly.
  • a touch area T for retracting or expanding the second display area P2 to hide or display the pulse wave related information A2 accordingly.
  • FIG. 8 Please refer to FIG. 8 together.
  • the first display area P1 is set next to the pulse measurement parameters, which is convenient for the user to confirm the regularity evaluation information when observing the pulse measurement parameters.
  • the setting of the touch area T allows the user to choose to view or hide according to actual needs Pulse wave related information.
  • the display interface is neat and beautiful; when the user's regular evaluation information A1 prompts "irregular" or the user needs to view the pulse wave related information A2 for other reasons, you can click to touch Area T, expand the second display area P2 for viewing.
  • the prompt information including at least one of the regularity evaluation information, pulse wave related information, and executable function related information prompt information can also be displayed on the current interface in a pop-up window, or switch from the current interface After reaching a prompt interface, it is displayed in the prompt interface.
  • the regularity evaluation information is displayed in at least one of the following forms: text, pattern, and light.
  • the prompt information when the prompt information is displayed in a pop-up window and includes at least two of the regularity evaluation information, pulse wave related information, and executable function related information, the regularity evaluation information, pulse wave At least two of the wave-related information and the relevant information prompt information of the executable function may be displayed in the same window, or may be displayed in different windows. That is, at least two of the first display area A1, the second display area A2, and the third display area A3 may be located in the same window, or may be located in different windows.
  • the regularity evaluation information may include both text and patterns: "Suspected irregular pulse Obviously, an indicator light can also be provided on the display, and the regularity evaluation information can also be indicated by the light emitted by the indicator light. For example, when a red light is emitted, it indicates “irregularity”, and when a green light is emitted When the time, it indicates “rules”, where the indicator light can be a hardware indicator light or a virtual light displayed on the display screen.
  • the second display area A2 further includes a first sub display area A21, and the pulse wave related information includes pulse wave waveforms displayed in the first sub display area for a period of time.
  • the pulse wave waveform is a corresponding pulse wave waveform obtained by extracting a pulse wave signal related to the measurement object from the periodic physiological signal in step S22. By displaying the pulse wave waveform, the pulsation of the pulse can be visually displayed.
  • the second display area A2 includes a second sub display area A22
  • the pulse wave related information also includes rhythm quantization parameter values
  • the rhythm quantization parameter values include displayed in the second sub display area
  • the statistical analysis data includes the maximum value, ratio, sum, integral, difference, mean, standard deviation, maximum interval, minimum interval, display variability, number of variations, and maximum pulse rate of the characteristic value At least one of the minimum pulse rate values; the characteristic value includes: at least one of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, and pulse width.
  • the rhythm quantization parameter value may also include the characteristic values representing the fluctuation rhythm of the pulse wave obtained directly from the pulse wave signal, and/or statistical analysis data obtained after statistical analysis of these characteristic values, And preset thresholds, for example, the variability threshold, the one-time input threshold and so on. .
  • the first sub-display area A21 and the second sub-display area A22 are adjacently arranged.
  • the specific positional relationship between the first sub-display area A21 and the second sub-display area A22 is not limited.
  • the second sub-display area A22 is on the upper side, or as shown in FIG. 5-6
  • the first sub-display area A21 may be at the top.
  • the information related to the executable function includes guide information of the executable function and/or function icon of the executable function.
  • the guide information of the executable function is used to inform the user of the executable function that can be performed by the monitoring device 200 after the monitoring device 200 outputs the prompt information.
  • the guide information can be text or pattern to guide the user to understand the monitoring The executable functions of the device 200 and how to trigger the executable functions.
  • the relevant information of the executable function may also directly include the function icon B1 of the executable function, so that the function icon B1 of each executable function is displayed in a more direct manner, and the function icon B1 of each executable function is displayed for user operation to trigger The corresponding executable function.
  • the evaluation method may further include: in response to a trigger operation on the function icon B1, controlling to execute the function corresponding to the function icon B1.
  • the executable functions include at least one of printing pulse wave waveforms, scheduling ECG examinations, and scheduling ultrasound examinations, and may also include other functions, such as user-defined common functions.
  • the function icon B1 may include at least one function icon including a pulse wave waveform printing function icon, a scheduled ECG examination function icon, and an scheduled ultrasound examination function icon.
  • the type of regularity evaluation information includes an evaluation result used to indicate regular or irregular pulse and/or heart rhythm.
  • the method further includes: When the evaluation information is irregular, output alarm information.
  • the presentation form of the alarm information includes at least one of text, pattern, light, sound, and vibration.
  • the text and pattern may be output through the display screen of the monitoring device 200, the light may be output through the display screen or indicator light of the monitoring device 200, the sound may be output through the speaker of the monitoring device 200, and the vibration may be output through The vibrator of the monitoring device 200 is generated.
  • outputting alarm information includes: determining an alarm gear according to the acquired characteristic value, and controlling the output of the alarm information of the corresponding alarm gear, wherein the The alarm gear includes at least two gears.
  • the determining the alarm gear according to the acquired characteristic value may include: comparing the acquired characteristic value with multiple reference values, determining the characteristic value interval in which the characteristic value is located, and determining the characteristic value interval according to the determined characteristic value interval and the characteristic Correspondence between the value interval and the alarm gear to determine the corresponding alarm gear.
  • the corresponding alarm gear is determined to be the first alarm gear, and the control is issued Green light or audible alarm information with a lower decibel; when the slope is greater than or equal to the second slope and less than the third slope, determine the corresponding alarm gear as the second alarm gear, and control to emit orange light or a medium-decibel sound Alarm information; when the slope is greater than or equal to the third slope, the corresponding alarm gear is determined to be the third alarm gear, and the red light or the highest decibel sound alarm information is controlled to be emitted.
  • the first slope is smaller than the second slope, and the second slope is smaller than the third slope.
  • the first alarm gear is smaller than the second alarm gear
  • the second alarm gear is smaller than the third alarm gear
  • the number of the alarm gears can be any suitable value such as 2, 3, 4, etc.
  • the corresponding relationship between the characteristic value interval and the alarm gear can be a pre-stored corresponding relationship table, a corresponding relationship curve, and the like.
  • the method further includes the step of changing or confirming the regularity evaluation information that is used to indicate rules or irregularities in response to a result change operation or confirmation operation input by the user.
  • FIG. 9 is a schematic diagram of an interface displaying prompt information in an embodiment.
  • the prompt information can be displayed on an interface in a pop-up window.
  • the prompt information includes a detailed information area Z1 and a judgment area Z2.
  • the detailed information area Z1 displays detailed information for the user to make judgments. Whether it is a rule or not, the judgment zone Z2 includes options of "rule” and "irregular", and the options of "rule” and "irregular” are used for the user to select to obtain the regularity evaluation information.
  • the detailed information includes: pulse wave waveform ("pleth" area in the figure), pulse identifier, pulse interval measurement value, maximum interval, minimum interval, display variability and other information.
  • the content of the detailed information does not overlap with the content of the prompt information at all, and the detailed information gives more information than the prompt information. Understandably, in other embodiments of the present application, the content contained in the detailed information may also be partially or completely consistent with the content contained in the prompt information.
  • the regularity evaluation information is determined to be a rule, or in response to the selection operation of the "irregular” option, the regularity evaluation information is confirmed to be irregular.
  • the interface may be an interface such as a monitoring result interface, a system interface, etc.
  • FIG. 10 is a schematic diagram of an interface displaying prompt information in another embodiment.
  • the prompt information includes "rule” and "irregular” selection boxes displayed on an interface of the monitoring device 200.
  • the options of "rule” and “irregular” are used for the user to choose to confirm or change the regular evaluation information.
  • the current regularity evaluation information is prompted through the currently selected "rule" selection box S1 and “irregular” selection box S2, and the user can respond to the user's response to the "rule" selection box S1 or "irregular "Select box S2 to change the regular evaluation information.
  • the entire interface may be a prompt information interface.
  • the prompt information also includes an interface to provide an operation interface for the user to call up detailed information to assist the user in judgment.
  • the detailed information includes: pulse wave waveform ("pleth" area in the figure), pulse identifier , Pulse interval measurement value, maximum pulse interval, minimum pulse interval, pulse interval variability and other information, or further including variability threshold, number of mutations, threshold of number of mutations, maximum pulse rate, minimum pulse rate and other information.
  • the steps S22-S23 can all be performed in the monitoring device 200, that is, “extract the pulse wave signal related to the measurement object from the periodic physiological signal", “according to all The processing processes such as “describe the pulse wave signal and analyze the regularity evaluation information” can be executed by the monitoring device 200.
  • the method before outputting the prompt information according to the regularity evaluation information, the method further includes: determining the prompt information to be displayed according to the regularity evaluation information.
  • the regularity evaluation information is a rule
  • the regularity evaluation information in the prompt information to be displayed is a text or pattern such as "rules”
  • the regularity evaluation information is irregular
  • the prompt information to be displayed is determined
  • the regularity evaluation information in is “irregular” and other characters or patterns.
  • the method further includes the step of sending prompt information to monitoring management equipment 300 such as department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment, through the department-level workstation equipment and /Or the hospital-level data center/hospital-level emergency center management equipment outputs the prompt information.
  • monitoring management equipment 300 such as department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment, through the department-level workstation equipment and /Or the hospital-level data center/hospital-level emergency center management equipment outputs the prompt information.
  • the above steps may also be: sending the prompt information to the bedside monitoring device 202, department-level workstation equipment, and/or hospital-level data center/hospital-level emergency center
  • the monitoring management equipment 300 such as management equipment outputs the prompt information through the bedside monitoring equipment 202, department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment.
  • the prompt information can also be sent to the bedside monitoring device 202 for display output.
  • the monitoring equipment 200 and the monitoring management equipment 300 such as the department-level workstation equipment and/or the hospital-level data center/hospital-level emergency center management equipment can output prompt information, or only the monitoring equipment 200 and the monitoring management equipment 300 A kind of output prompt information.
  • the steps S22-S23 may all be executed in the monitoring management device 300, that is, "extract the pulse wave signal related to the measurement object from the periodic physiological signal", " According to the pulse wave signal, the regularity evaluation information is obtained by analysis, etc., which can also be executed in department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment.
  • the method further includes: sending the periodic physiological signal to department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment, through department-level workstation equipment and/or hospital-level data center/hospital-level emergency management equipment
  • the central management equipment performs processing operations such as "extracting the pulse wave signal related to the measurement object from the periodic physiological signal", "analyzing the pulse wave signal to obtain the regularity evaluation information", etc. to obtain the regularity evaluation information .
  • the output of prompt information according to the regularity evaluation information further includes: receiving regularity evaluation information from department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment, and according to the received rules sexual evaluation information output prompt information.
  • the monitoring device 200 when it is a mobile monitoring device 201, it may be sending the periodic physiological signals to the bedside monitoring device 202, department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment Etc., through the bedside monitoring equipment 202, department-level workstation equipment, and/or hospital-level data center/hospital-level emergency center management equipment, etc., to obtain regular evaluation information; and from the bedside monitoring equipment 202, department-level workstation equipment And/or hospital-level data center/hospital-level emergency center management equipment receives regular evaluation information, and outputs prompt information based on the received regular evaluation information.
  • the prompt information may also be determined by department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment, and then sent to the monitoring device 200 for display output.
  • the method in this application can be executed in one device of the monitoring device 200, and can also be executed in multiple different devices in the monitoring system 100.
  • the senor includes at least one of a photoelectric sensor, a pressure sensor, an electromagnetic sensor, a sound sensor, and an acceleration sensor.
  • the photoelectric sensor may include a blood oxygen sensor
  • the pressure sensor may include a blood pressure sensor and other sensors that detect pressure changes caused by pulse pulsation.
  • a photoelectric sensor may include a blood oxygen sensor
  • the pressure sensor may include a blood pressure sensor and other sensors that detect pressure changes caused by pulse pulsation.
  • FIG. 11 is a flowchart of the quality evaluation process in the evaluation method shown in FIG. 2.
  • the quality evaluation process includes the following steps:
  • the quality of the pulse wave signal is analyzed to obtain a quality evaluation value (S111).
  • the quality evaluation value may be the aforementioned quality factor.
  • the quality evaluation value is compared with a preset threshold (S112). Wherein, when it is determined that the quality evaluation value is less than the preset threshold, step S113 is executed, and when it is determined that the quality evaluation value is greater than or equal to the preset threshold, step S114 is executed.
  • the prompt information is directly output (S113).
  • the subsequent analysis step of the regularity evaluation information (S114) is performed.
  • the "subsequent analysis step of regularity evaluation information” may include the aforementioned “obtaining characteristic values that characterize the fluctuation rhythm of the pulse wave according to the pulse wave signal” and “analyzing the characteristic values to obtain regularity evaluation information" Within the steps.
  • the performing quality analysis on the pulse wave signal to obtain the quality evaluation value may include: using at least one of the time domain technology, frequency domain technology, and nonlinear dynamics technology to analyze the pulse wave signal Performing feature extraction to obtain at least one feature value; and obtaining a quality evaluation value based on the at least one feature value.
  • the use of at least one analysis technology of time domain technology, frequency domain technology, and nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least one feature value may include: using time domain technology, frequency domain technology
  • One of the analysis techniques in the technology and the nonlinear dynamics technology performs feature extraction on the pulse wave signal to obtain at least one feature value.
  • the use of at least one analysis technique of time domain technology, frequency domain technology, and nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least one feature value may also include: using time domain technology or frequency domain technology And at least one analysis technique in the nonlinear dynamics technology performs feature extraction on the pulse wave signal to obtain at least two types of feature values, and obtain a final feature value based on the two types of feature values and the weight of each type of feature value.
  • the “output prompt information directly without performing the subsequent analysis step of regularity evaluation information” in the step 113 refers to outputting the prompt information based on the rule evaluation information.
  • the prompt information includes pulse wave related information, that is, pulse wave related information is directly output, where the pulse wave related information includes pulse wave waveform and rhythm quantization parameter values.
  • the prompt information only includes the pulse wave waveform in the pulse wave related information. Further, after displaying the prompt information that only includes the pulse wave waveform, the method further includes: receiving an input instruction and executing the step of "obtaining a characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal", and according to the The characteristic value outputs the rhythm quantization parameter value.
  • Rhythm quantization parameter values are as described above, for example, include pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, pulse width, etc., which will not be repeated here.
  • doctors and other users see the pulse wave waveform, if they want to further see the relevant rhythm quantification parameter values, they can also input instructions to trigger the monitoring device to perform the step "Acquire the characteristics of the pulse wave fluctuation rhythm according to the pulse wave signal. Value", and obtain parameters including characteristic values such as pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, pulse width, etc., and can obtain further information to assist doctors in obtaining regularity evaluation analysis through manual judgment.
  • the step S114 "performing the subsequent step of analyzing regularity evaluation information" may further include: determining the weight value of the characteristic value and the weight value of the quality quality evaluation value according to the quality evaluation value; The weight value of the characteristic value and the weight value of the quality evaluation value perform weighted calculation on the characteristic value and the quality evaluation value to obtain a weighted characteristic value; and analyze according to the weighted characteristic value to obtain the regularity evaluation information.
  • the step S114 "performing the subsequent step of analyzing the regularity evaluation information" may further include: mapping the quality evaluation value to the quality factor coefficient of the acquired characteristic value; The value and the quality factor coefficient are calculated to obtain the corrected characteristic value; the analysis is performed according to the corrected characteristic value to obtain the regularity evaluation information.
  • FIG. 12 is a flowchart of a method for evaluating regularity evaluation information in another embodiment of this application.
  • the evaluation method can be applied to the aforementioned monitoring system 100 or monitoring device 200, where the monitoring system 100 or the monitoring device 200 includes a first sensor and at least one second sensor, and the first sensor is a non-cardiac sensor.
  • the method includes:
  • the periodic physiological signal of the measurement object is acquired by the first sensor, where the first sensor is a non-cardiograph sensor (S121).
  • a pulse wave signal related to the measurement object is extracted from the periodic physiological signal (S123).
  • the regularity evaluation information is obtained by combining the pulse wave signal and other physiological sign signals respectively obtained by multiple sensors.
  • FIG. 13 is a further flowchart of the evaluation method of regularity evaluation information shown in FIG. 12.
  • the method includes:
  • the periodic physiological signal of the measuring object is acquired by the first sensor, where the first sensor is a non-cardiograph sensor (S131).
  • a pulse wave signal related to the measurement object is extracted from the periodic physiological signal (S133).
  • the pulse wave signal is filtered out of the influence of other physiological signs to obtain a filtered pulse wave signal (S134).
  • a characteristic value representing the fluctuation rhythm of the pulse wave is obtained (S135).
  • the characteristic value is analyzed to obtain regularity evaluation information (S136).
  • step S124 in the flowchart shown in FIG. 12 may specifically include steps S134 to S136 in the flowchart shown in FIG. 13.
  • the "obtain regularity evaluation information based on the pulse wave signal and the other physiological sign signals” specifically includes: “filter the influence of other physiological sign signals in the pulse wave signal to obtain the filtered information The steps of "pulse wave signal”, “obtaining characteristic values representing the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal”, and “analyzing the characteristic values to obtain regularity evaluation information”.
  • the filtering out the influence of other physiological signs signals from the pulse wave signal to obtain the filtered pulse wave signal includes: obtaining the rhythm quantization parameter value according to the pulse wave signal and according to the other physiological signs.
  • the physical sign signal obtains other physiological sign parameter values; the filtering scheme is determined according to the rhythm quantization parameter value and the other physiological sign parameter values; the filtering scheme is obtained by filtering out the influence of other physiological sign signals in the pulse wave signal according to the filtering scheme The filtered pulse wave signal.
  • the filtering scheme includes selected filters and filtering parameters
  • the determining the filtering scheme according to the rhythm quantization parameter value and the other physiological sign signals includes: according to the rhythm quantization parameter value and the other physiological sign parameters The ratio or difference of the values determines the corresponding target filter and target filter parameter.
  • the target filter and the target filter parameter can also be determined according to other relationships between the rhythm quantization parameter value and the other physiological sign parameter value, such as a product.
  • the filtering out the influence of other physiological signs from the pulse wave signal according to the filtering scheme to obtain the filtered pulse wave signal includes: applying the target filter parameter to the pulse wave signal After filtering, the filtered pulse wave signal is obtained.
  • the filter is a hardware filter in the monitoring device 200.
  • the monitoring device 200 includes multiple filters, and each filter corresponds to multiple filter parameters.
  • the determining the corresponding target filter and target filtering parameter according to the ratio or difference between the rhythm quantification parameter value and the other physiological sign parameter value further includes: according to a preset ratio or difference Correspondence with the filtering scheme, determine the filtering scheme corresponding to the ratio or difference between the rhythm quantification parameter value and the other physiological sign parameter value; determine that the filter and filtering parameter in the filtering scheme are the target filter and Target filtering parameters.
  • the corresponding relationship between the ratio or difference and the filtering scheme may be a pre-stored corresponding relationship table.
  • the second sensor includes a respiration sensor
  • the other physiological sign signal includes a respiration signal
  • the other physiological sign parameter value includes a respiration rate
  • the rhythm quantization parameter value includes a pulse rate value
  • the specific content of the "acquiring the characteristic value of the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal” It can be the same as the embodiment shown in FIG. 2 of "obtaining characteristic values that characterize the rhythm of the pulse wave according to the pulse wave signal", except that this application is based on the filtered pulse wave signal.
  • FIG. 2 Related description.
  • acquiring the characteristic value representing the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal includes: using at least one analysis technology of time domain technology, frequency domain technology and nonlinear dynamics technology to analyze the The filtered pulse wave signal is subjected to feature extraction to obtain at least one corresponding feature value.
  • the obtaining of the pulse wave signal from the filtered pulse wave signal a characteristic value representing the fluctuation rhythm of the pulse wave includes: using time domain technology to perform feature extraction on the filtered pulse wave signal to obtain at least one time domain characteristic value.
  • the at least one time domain characteristic value includes at least one of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, and pulse width.
  • Said obtaining the characteristic value representing the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal includes: using frequency domain technology to convert the filtered pulse wave signal into a frequency domain signal, and then performing feature extraction on the frequency domain signal. Obtain at least one frequency domain feature value.
  • the acquiring the characteristic value representing the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal includes: using nonlinear dynamics technology to perform characteristic extraction on the pulse wave signal to obtain at least one nonlinear dynamic characteristic value.
  • the nonlinear dynamics characteristic value includes entropy or complexity.
  • said acquiring the characteristic value representing the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal further includes: performing characteristic extraction on the filtered pulse wave signal for a period of time or several cycles to obtain at least two The characteristic value; the analyzing the characteristic value to obtain the regularity evaluation information includes: analyzing the at least two characteristic values through a statistical analysis method and/or a machine learning method to obtain the regularity evaluation information.
  • the analyzing the at least two characteristic values by a statistical analysis method and/or a machine learning method to obtain the regularity evaluation information includes: analyzing the at least two characteristic values by a statistical analysis method , Obtain statistical analysis data, and obtain the regularity evaluation information according to the statistical analysis data; and/or obtain the regularity evaluation information by using the at least two characteristic values as input through a machine learning method One output.
  • the use of at least one analysis technology of time domain technology, frequency domain technology and nonlinear dynamics technology to perform feature extraction on the filtered pulse wave signal to obtain the corresponding at least one feature value may further include: At least one analysis technology of time domain technology, frequency domain technology, and nonlinear dynamics technology is used to perform feature extraction on the filtered pulse wave signal to obtain at least two types of feature values, according to the two types of feature values and each type of feature The weight of the value gives the final at least one characteristic value.
  • the at least two different characteristic values include at least two characteristic values analyzed by different analysis techniques and/or at least two different characteristic values analyzed by the same analysis technique.
  • the same analysis method as in the embodiment shown in FIG. 2 is that after the pulse wave signal obtains the characteristic value of the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal, the method further includes: The extracted feature values are converted into intermediate feature values.
  • the analyzing the characteristic value to obtain the regularity evaluation information includes: performing analysis based on the intermediate characteristic value to obtain the regularity evaluation information.
  • the intermediate characteristic value includes a pulse rate value
  • converting the extracted characteristic value into an intermediate characteristic value includes: converting the extracted characteristic value into a pulse rate value.
  • the analyzing based on the intermediate characteristic value to obtain regularity evaluation information includes: performing analysis based on the pulse rate value to obtain regularity evaluation information.
  • the intermediate feature value may also include a pulse sound feature value
  • converting the extracted feature value into an intermediate feature value includes: converting the extracted feature value into a pulse sound feature value.
  • the analyzing based on the intermediate characteristic value to obtain the regularity evaluation information includes: analyzing based on the pulse sound characteristic value to obtain the regularity evaluation information.
  • said converting the extracted characteristic value into a pulse sound characteristic value includes: determining the arrival time of the peak or trough of the pulse according to the extracted characteristic value, marking the peak or trough at the arrival time of the peak; marking according to the peak or trough Generate pulse sound characteristic values.
  • the analysis based on the characteristic value of the pulse sound to obtain the regularity evaluation information may further include: marking the peaks or troughs of the pulse wave signal in a period of time or several cycles to obtain at least two peak marks or Trough markers to obtain at least two pulse sound characteristic values generated by at least two peak markers or at least two trough markers; the at least two pulse sound characteristic values are analyzed through statistical analysis and/or machine learning, and Obtain the regularity evaluation information.
  • the method further includes: outputting prompt information according to the regularity evaluation information.
  • the output of the prompt information according to the regularity evaluation information is also the same as the related content of the analysis method in the embodiment shown in FIG. 2. For details, please refer to the related description of FIG. 2.
  • the prompt information includes at least one of pulse wave related information, executable function related information, and the regularity evaluation information;
  • the type of regularity evaluation information includes an evaluation result used to indicate regular or irregular pulse beats and/or heart rhythms
  • the pulse wave-related information includes pulse wave waveforms and/or rhythm quantification parameter values
  • the executable function is a function that can be executed in the next step when the regularity evaluation information meets the preset condition.
  • the pulse wave waveform is a waveform pattern obtained by a pulse wave signal.
  • the rhythm quantification parameter value includes at least one characteristic value including pulse interval, pulse amplitude, pulse area, pulse slope, and pulse envelope, and/or includes the maximum value, ratio, and sum based on statistical analysis of at least one characteristic value , Integral, difference, mean, standard deviation, maximum interval, minimum interval, pulse variability, statistical analysis data including at least one of the number of mutations, and/or at least one including the threshold of variability and number of mutations A threshold.
  • the regularity evaluation information is displayed in at least one of the following forms: text, pattern, and light.
  • the type of the regularity evaluation information includes a pulse and/or heart rhythm used to indicate regular or irregular, and the method further includes: outputting alarm information when the regularity evaluation information is irregular.
  • the content of the output alarm information is also the same as the related content of the analysis method in the embodiment shown in FIG. 2, and for details, please refer to the related description of FIG.
  • the presentation form of the alarm information includes at least one of text, pattern, light, sound, and vibration.
  • outputting alarm information includes: determining an alarm gear according to the acquired characteristic value, and controlling the output of the alarm information of the corresponding alarm gear, wherein the alarm gear includes At least two gears.
  • the analysis method in FIG. 13 is to obtain signals through multiple types of sensors, and to obtain pulses from periodic physiological signals obtained from the first sensor. After filtering out the physiological sign signal obtained by at least one second sensor from the wave signal, the filtered pulse wave signal is analyzed to obtain the regularity evaluation information.
  • the pulse wave is obtained only according to the periodic physiological signal obtained by one sensor. The wave signal is then analyzed to obtain regularity evaluation information.
  • Other specific analysis steps are the same and can be referred to each other.
  • the first sensor includes at least one of a photoelectric sensor, a pressure sensor, an electromagnetic sensor, a sound sensor, and an acceleration sensor.
  • FIG. 14 is another further flowchart of the method for evaluating regularity evaluation information shown in FIG. 12.
  • the method includes:
  • the periodic physiological signal of the measuring object is acquired by the first sensor, where the first sensor is a non-cardiograph sensor (S141).
  • a pulse wave signal related to the measurement object is extracted from the periodic physiological signal (S143).
  • a characteristic value representing the fluctuation rhythm of the pulse wave is obtained (S145).
  • the characteristic value is analyzed to obtain the first regularity evaluation information and the physiological sign parameter value is analyzed to obtain the second regularity evaluation information (S146).
  • the final regularity evaluation information is obtained (S147).
  • step S124 in the flowchart shown in FIG. 12 may specifically include steps S144-S146 in the flowchart shown in FIG. 14.
  • the "obtain regularity evaluation information according to the pulse wave signal and the other physiological sign signals” specifically includes: “extract physiological sign parameter values from the other physiological sign signals", "according to the pulse The wave signal acquires the characteristic value that characterizes the fluctuation rhythm of the pulse wave", "Analyze the characteristic value to obtain the first regularity evaluation information and analyze the physiological sign parameter value to obtain the second regularity evaluation information", "According to the first Regular evaluation information and the second regular evaluation information to obtain the final regular evaluation information" these steps.
  • the other physiological sign signal is an electrocardiographic signal
  • the physiological sign parameter value is an electrocardiographic parameter value
  • the final regularity evaluation information is obtained based on the first regularity evaluation information and the second regularity evaluation information , Including: when the first regularity evaluation information and the second regularity evaluation information are consistent, any one of them is selected as the final regularity evaluation information; and when the first regularity evaluation information and the second regularity evaluation information When the evaluation information is inconsistent, the second regularity evaluation information is selected as the final regularity evaluation information.
  • the method further includes: using the feature value obtained according to the analysis to obtain the first regularity evaluation information as the input of the machine learning model, and using the final regularity evaluation information as the machine learning model Output and bind each other to further improve the machine learning model.
  • the at least one second sensor includes an ECG sensor, which can directly detect ECG signals and obtain regularity evaluation information, while the first sensor detects pulse waves obtained by non-ECG sensors.
  • the regularity evaluation information obtained by signal analysis is verified, and the regularity evaluation information obtained based on the ECG signal is used as the final regularity evaluation information, so as to train and improve the machine learning model, and improve the use of non-ECG sensors According to the accuracy of the regularity evaluation information obtained from the detected pulse wave signal, the regularity evaluation information of a single feature value or multiple feature values can be directly obtained according to the machine learning model.
  • the machine learning model can be stored in the memory of the monitoring equipment, or set in various data management systems such as department-level workstation equipment/hospital-level data center/hospital-level emergency center management equipment for summary, storage, and real-time update.
  • the regularity evaluation information After periodically sharing the characteristic values sent by the monitoring device or receiving the monitoring device in a wired or wireless manner, the regularity evaluation information will be analyzed through the machine learning model, and the regularity evaluation information will be sent to the monitoring device for storage or display. Understandably, as long as the feature value can be input into the machine learning model to obtain regularity evaluation information, there are no restrictions on the storage mode, storage device, and operating device of the machine learning model.
  • the ECG sensor and non-ECG sensor can be used for detection at the same time in the first several times, and in the subsequent, only the non-ECG sensor can be used for periodic physiological signals.
  • the detection, and the regular evaluation information based only on the signal obtained by the non-ECG sensor, can still ensure the accuracy of the evaluation.
  • FIG. 14 The difference between FIG. 14 and FIG. 13 lies in the specific implementation manner of "obtaining regularity evaluation information according to the pulse wave signal and the other physiological sign signals".
  • the analysis process of "analyzing the characteristic value to obtain the first regularity evaluation information” is the same as the analysis process of "analyzing the characteristic value to obtain the regularity evaluation information" in the embodiment shown in FIGS.
  • the “analyzing the physiological sign parameter value to obtain the second regularity evaluation information” may be the same as the “analyzing the characteristic value to obtain the first regularity evaluation information", and for details, please refer to the examples of FIGS. 2, 13 and other embodiments. Related description.
  • FIG. 15 is a flowchart of the filter selection process in the evaluation method shown in FIG.
  • the corresponding relationship between the ratio interval or the difference interval and the filter is also pre-stored, and the ratio is the aforementioned rhythm quantization parameter value and the other physiological signs parameter.
  • the filter selection process may also specifically include the following steps:
  • the first filter is selected for filtering (S152).
  • the second filter is selected for filtering (S154).
  • the third filter is selected for filtering (S155).
  • the first filter is selected for filtering.
  • the second filter is selected for filtering.
  • the third filter is selected for filtering.
  • the filter parameter can be determined according to the ratio interval or the difference interval at the same time as the filter, that is, after the filter is determined according to the ratio interval or the difference interval, the corresponding filter can also be determined according to the ratio interval or the difference interval.
  • Parameters, that is, different ratio intervals or difference intervals can also correspond to different filtering parameters.
  • FIG. 16 is a block diagram of a monitoring device 200 in an embodiment of the application.
  • the monitoring device 200 includes a sensor 210 and a processor 220.
  • the sensor 210 is used to obtain periodic physiological signals of the measuring object.
  • the processor 220 is connected to the sensor 210, and is configured to extract a pulse wave signal related to the measurement object from the periodic physiological signal, and obtain regularity evaluation information according to the pulse wave signal analysis.
  • the processor 220 performs filtering processing, amplifying processing, and A/D conversion (digital-to-analog conversion) processing on the periodic physiological signal to extract the pulse wave signal.
  • the processor 220 obtains regularity evaluation information according to the pulse wave signal analysis, including: the processor 220 obtains the characteristic value of the fluctuation rhythm of the pulse wave according to the pulse wave signal, and analyzes The characteristic value obtains regularity evaluation information.
  • the processor 220 is specifically configured to use at least one analysis technology of time domain technology, frequency domain technology, and nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain corresponding at least one Eigenvalues.
  • the processor 220 may use an analysis technique or a combination of multiple analysis techniques to perform feature extraction on the pulse wave signal to obtain corresponding at least one/class of feature values.
  • the processor 220 may use time domain technology to perform feature extraction on the pulse wave signal to obtain at least one time domain feature value.
  • the processor 220 may only use time domain technology to perform feature extraction on the pulse wave signal to obtain at least one time domain feature value.
  • the at least one time domain characteristic value includes at least one of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, and pulse width.
  • the processor 220 uses frequency domain technology to convert the pulse wave signal into a frequency domain signal, and then performs feature extraction on the frequency domain signal to obtain at least one frequency domain feature value.
  • only frequency domain technology may be used to perform feature extraction on the pulse wave signal to obtain at least one frequency domain feature value.
  • the frequency domain characteristic value includes, but is not limited to, including but not limited to characteristic values such as spectrum characteristics and power spectrum characteristics.
  • the processor 220 may use nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least one nonlinear dynamics feature value.
  • only the nonlinear dynamics technology may be used to perform feature extraction on the pulse wave signal to obtain at least one nonlinear dynamics feature value.
  • the nonlinear dynamics characteristic value includes entropy or complexity.
  • the entropy includes, but is not limited to, information entropy, spectral entropy, approximate entropy, sample entropy, fuzzy entropy and other entropy features.
  • the processor 220 uses at least one analysis technology of time domain technology, frequency domain technology, and nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least one feature value, or Specifically, it includes: using at least one analysis technology of time domain technology, frequency domain technology, and nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least two types of feature values, according to the two types of feature values and each type of feature The weight of the value yields the final characteristic value.
  • the processor 220 can obtain the final characteristic value according to the weighted calculation formula ax+by.
  • x can be the time domain eigenvalue
  • y can be the frequency domain eigenvalue
  • a is the weight value of the time domain eigenvalue
  • b is the weight value of the frequency domain eigenvalue
  • the monitoring device further includes a memory 230, and the weight value of the time domain characteristic value and the weight value of the frequency domain characteristic value may be preset and stored in the memory 230.
  • the multiple different feature values include multiple types of feature values (such as time domain feature values, frequency domain feature values, etc.) analyzed through different analysis techniques and/or multiple types of different features analyzed through the same analysis technology. Characteristic values (such as pulse interval, slope, etc.).
  • analyzing the characteristic value by the processor 220 to obtain regularity evaluation information may include: comparing the at least one characteristic value of the processor 220 with the corresponding at least one characteristic value threshold, and comparing As a result, regular evaluation information is obtained.
  • the regularity evaluation information used to indicate the rule or irregularity can be obtained directly according to the characteristic value of the pulse wave signal that represents the fluctuation rhythm of the pulse wave.
  • the characteristic value may include at least one of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, pulse width, and may also include spectrum characteristics, power spectrum characteristic values, etc. Can include entropy, complexity, etc.
  • the at least one characteristic value may be a characteristic value of pulse interval
  • the preset threshold may be a preset pulse interval range
  • the processor 220 compares the at least one characteristic value with the corresponding at least one characteristic value threshold
  • And obtaining regularity evaluation information according to the comparison result may further include: the processor 220 compares the pulse interval with a preset pulse interval range, and when the pulse interval is determined to be outside the preset pulse interval range, it is obtained as "irregular "Regularity evaluation information", when it is determined that the pulse interval is within the preset pulse interval range, the "rule" regularity evaluation information is obtained.
  • the processor 220 obtains the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal, and may further include: the processor 220 performs processing on the pulse wave signal for a period of time or several cycles. At least two feature values are obtained by feature extraction; and the at least two feature values are analyzed by a statistical analysis method and/or a machine learning method to obtain the regularity evaluation information.
  • the processor 220 performs feature extraction on the pulse wave signal of a period of time or several cycles to obtain at least two feature values.
  • the processor 220 may also adopt time domain technology, frequency domain technology and nonlinear dynamics.
  • At least one analysis technology in the science technology performs feature extraction on the pulse wave signal of a period of time or several cycles to obtain at least two feature values.
  • the statistical analysis data may be the maximum value, ratio, sum, integral, difference, mean, standard deviation, maximum interval, minimum interval, pulse variability, number of mutations, and maximum based on the aforementioned characteristic values. At least one of the pulse rate value and the minimum pulse rate value, said obtaining the regularity evaluation information according to the statistical analysis data may include adding the maximum value, ratio, sum, integral, difference, Statistical analysis data such as mean, standard deviation, maximum interval, minimum interval, pulse variability, number of variations, maximum pulse rate value, minimum pulse rate value and the preset maximum value, ratio, sum, integral, difference, etc. The mean, standard deviation, maximum interval, minimum interval, pulse variability, number of variations, maximum pulse rate, minimum pulse rate and other preset statistical data are compared, and the results are used to express regular or irregular statistics. The regular evaluation information.
  • the processor 220 may perform statistical analysis on the characteristic values representing the fluctuation rhythm of the pulse wave obtained according to the pulse wave signal, and obtain statistical analysis data, and then obtain the data used to express the rule or Irregular regularity evaluation information.
  • the machine learning method may be to establish a machine learning model, for example, a neural network model, through model training, so that the processor 220 may use the at least two feature values as input to the machine learning model and automatically obtain them for use.
  • a machine learning model for example, a neural network model
  • the processor 220 may use the at least two feature values as input to the machine learning model and automatically obtain them for use.
  • the regularity evaluation information indicating regularity or irregularity.
  • the feature extraction is performed on the pulse wave signal of a certain period of time or several cycles to obtain at least two feature values that are different feature values obtained by feature extraction on different periods of the pulse wave signal,
  • they can be the same type of feature value or different types of feature value.
  • feature extraction is performed on multiple different time periods within a certain time period through time domain technology to obtain multiple characteristic values of the type of multiple pulse intervals.
  • it is also possible to perform feature extraction on multiple different time periods within a certain time period for example, three time periods using time domain technology, frequency domain technology, and nonlinear dynamics technology to obtain corresponding time domain features. Value, frequency domain characteristic value and nonlinear dynamic characteristic value.
  • the at least two characteristic values are characteristic values obtained by characteristic extraction of pulse wave signals in a certain period of time or in different periods of several cycles, and the extraction method of each characteristic value may also be At least one analysis technology of time domain technology, frequency domain technology, and nonlinear dynamics technology is used to extract features of the same waveform segment of the pulse wave signal to obtain at least two types of feature values. According to the two types of feature values and each type The weight of the eigenvalue is the final eigenvalue of the waveform segment.
  • the processor 220 after the processor 220 obtains the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal, it is further configured to evaluate the quality of the pulse wave signal according to the characteristic value to obtain the quality factor; And determining whether to adopt or discard the pulse wave signal currently obtained according to the quality factor.
  • the method of obtaining the quality factor may be the same as the method of “obtaining the characteristic value of the fluctuation rhythm of the pulse wave according to the pulse wave signal” described above, except that the characteristic obtained is the quality factor. value.
  • the quality factor may be at least one time domain value of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, and pulse width obtained through time domain technology, or may be obtained through frequency domain technology.
  • the output includes at least one frequency domain value such as a frequency spectrum feature, a power spectrum feature value, etc., and may also be at least one nonlinear dynamics value such as entropy value and complexity obtained by nonlinear dynamics technology.
  • the quality factor may be the maximum value, ratio, sum, integral, difference, mean, standard deviation, maximum interval, minimum interval, pulse variability, number of variations, maximum pulse rate, minimum pulse rate At least one of the values.
  • the processor 220 determines that the currently obtained pulse wave signal can be used according to the quality factor, further analysis is performed according to the obtained characteristic value to obtain regularity evaluation information.
  • the characteristic value is credible, and further analysis is performed directly based on the acquired characteristic value to obtain a regularity evaluation information.
  • the processor 220 performs further analysis according to the acquired characteristic value to obtain regularity evaluation information, which is the same as the aforementioned processing procedure of "analyzing the characteristic value to obtain regularity evaluation information".
  • the processor 220 is further configured to perform further analysis according to the quality factor and the acquired characteristic value when it is determined that the currently obtained pulse wave signal can be used according to the quality factor to obtain regularity evaluation information .
  • the processor 220 performs further analysis according to the quality factor and the acquired characteristic value to obtain regularity evaluation information, which may include: the processor 220 determines the weight value of the characteristic value according to the quality factor and The weight value of the quality factor; weighted calculation of the characteristic value and the quality factor according to the weight value of the characteristic value and the weight value of the quality factor to obtain a weighted characteristic value; analysis according to the weighted characteristic value to obtain The regularity evaluation information.
  • the processor 220 may analyze the quality of the pulse wave signal to obtain a quality factor indicating the quality of the pulse wave signal. Since the quality factor itself is obtained in the same manner as the characteristic value, Therefore, the quality factor and the characteristic value obtained according to the pulse wave signal can be weighted to obtain a weighted adjustment value, and then analyzed according to the weighted characteristic value to obtain the regularity evaluation information, which can effectively improve the accuracy of the regularity evaluation information.
  • the determining the weight value of the characteristic value and the weight value of the quality factor according to the quality factor may specifically include: comparing the obtained quality factor with a corresponding quality factor threshold, and determining the quality factor of the quality factor according to the comparison result Weight value j1; and determine the weight value of the feature value (1-j1).
  • the quality factor may include at least one quality factor, and may be different types of quality factors obtained by different analysis techniques or different types of quality factors obtained by the same analysis technique.
  • the quality factor obtained by time domain technology As an example, through time domain analysis, the following values are obtained: pulse wave amplitude standard deviation, peak-peak interval average, peak-peak interval maximum, then the pulse wave amplitude standard deviation, The peak-to-peak interval average value, the peak-to-peak interval maximum and minimum values are compared with the standard deviation threshold, the interval average threshold, and the interval maximum threshold, and the weighted value j1 of the quality factor is determined according to the comparison result. Among them, when the signal quality is better, the weight value of the corresponding quality factor is smaller; conversely, when the signal quality is worse, the weight value of the corresponding quality factor is larger.
  • the threshold may be a single threshold, or may include two thresholds, for example, a threshold range formed by the first threshold and the second threshold.
  • the weight value j1 of the quality factor ranges from 0 to 1
  • the weight value 1-j1 of the feature value also ranges from 0 to 1.
  • the better the quality signal is set the smaller the weighting value of the corresponding quality factor is: when the quality signal is better, the quality factor should be weakened, and the characteristic value obtained from the pulse wave signal at this time is also more accurate.
  • the eigenvalues should be strengthened, so in this case, the smaller the weight value of the quality factor, the greater the weight value of the eigenvalue; and vice versa.
  • the weighting value of the quality factor can be a smaller value, such as 0.2, and the eigenvalue should be strengthened, so the weight of the eigenvalue
  • the frequency spectrum of a signal can be obtained for a period of time, and the number of spectrum peaks whose spectrum peak amplitude>a is counted.
  • the further analysis based on the quality factor and the acquired characteristic value to obtain regularity evaluation information may further include:
  • the characteristic value and the quality factor coefficient are calculated to obtain the corrected characteristic value, and then the regularity evaluation information is obtained according to the corrected characteristic value.
  • the characteristic value and the quality factor coefficient are calculated to obtain the corrected characteristic value, and then the regularity evaluation information is obtained according to the corrected characteristic value.
  • the calculation is multiplication. Understandably, the calculation includes at least one of multiplication, division, subtraction, and addition. For example, when the calculation includes division, the characteristic value is divided by the quality factor coefficient. When the signal quality is higher, the quality factor coefficient is larger, and the maximum is equal to 1. When the signal quality is worse, the quality factor coefficient is smaller.
  • the method for obtaining the quality factor is the same as before, and will not be repeated here.
  • mapping the quality factor to the quality factor coefficient of the acquired feature value includes: comparing the quality factor with a corresponding quality factor threshold, and mapping the quality factor to The quality factor coefficient of the acquired characteristic value.
  • the threshold may be a single threshold, or may include two thresholds, for example, a threshold range formed by the first threshold and the second threshold.
  • the signal quality when it is satisfied that the amplitude standard deviation is ⁇ a, and the peak-to-peak interval average value/peak-to-peak interval maximum value ⁇ b, the signal quality is judged to be good, and the corresponding quality factor coefficient can be 1.
  • the signal quality is judged to be medium, and the quality factor coefficient is 0.8; when the standard deviation of amplitude> c, and the maximum value (minimum value) of the peak-to-peak interval/average value of the peak-to-peak interval>d, the signal quality is judged to be low, and the quality factor coefficient is 0.5.
  • the frequency spectrum of a signal can be obtained for a period of time, and the number of spectrum peaks whose spectrum peak amplitude>a is counted.
  • the quality factor coefficient multiplied by the eigenvalue is smaller, so that the interference signal corresponding to the eigenvalue is greatly reduced, thereby effectively avoiding interference.
  • the processor 220 is further configured to obtain a noise template signal when the signal quality is determined to be low, and perform denoising processing on the pulse wave signal based on the noise template signal to obtain the denoising Pulse wave signal.
  • the processor 220 acquiring the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal may include: the processor 220 acquiring the characteristic value representing the fluctuation rhythm of the pulse wave according to the denoised pulse wave signal.
  • the processor 220 may remove the component corresponding to the noise template signal from the pulse wave signal to obtain the pulse wave signal after noise removal.
  • the processor 220 after the processor 220 obtains the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal, it is further configured to convert the extracted/acquired characteristic value into an intermediate characteristic value; the processor 220 and used to analyze based on the intermediate characteristic value to obtain regularity evaluation information.
  • the intermediate feature value includes a pulse rate value
  • the processor 220 converting the extracted feature value into an intermediate feature value includes: the processor 220 converts the extracted feature value into a pulse rate value.
  • the processor 220 is further configured to perform analysis based on the pulse rate value to obtain regularity evaluation information.
  • the processor 220 performs analysis based on the pulse rate value to obtain the regularity evaluation information, including: the processor 220 obtains the difference between pulse rates, and when the difference between consecutive pulse rates is satisfied The difference exceeds the threshold, or at least n of the N adjacent pulse rate differences meet the threshold, or there is a pulse rate that exceeds or is less than the average pulse rate (threshold), or the standard deviation of the pulse rate divided by When the average pulse rate exceeds the threshold, it is judged that it is suspected to be irregular.
  • the intermediate feature value may further include a pulse sound feature value.
  • the processor 220 converting the extracted feature value into an intermediate feature value includes: the processor 220 converting the extracted feature value It is the characteristic value of pulse sound.
  • the processor 220 is also configured to perform analysis based on the pulse sound characteristic value to obtain regularity evaluation information.
  • the processor 220 performs analysis based on the pulse sound characteristic value to obtain regularity evaluation information, including: the processor 220 obtains the pulse sound interval, and when the difference value of several consecutive adjacent intervals is satisfied Exceeds the threshold, or at least n differences in N adjacent interval differences exceed the threshold, or there is an interval that exceeds or is less than the average of the interval (threshold), or the standard deviation of the interval divided by the average of the interval exceeds At the threshold value, it is judged that it is suspected to be irregular.
  • the processor 220 converting the extracted characteristic value into a pulse sound characteristic value includes: the processor 220 determines the arrival time of the peak or trough of the pulse according to the extracted characteristic value. Mark the peaks or troughs at all times; generate pulse sound characteristic values according to the markers of the peaks or troughs.
  • the processor 220 analyzes based on the pulse sound characteristic value to obtain regularity evaluation information, which may further include: the processor 220 evaluates the pulse wave signal within a certain period of time or several cycles The peaks or troughs are marked to obtain at least two peaks or trough markers, and at least two pulse sound characteristic values generated from at least two peak markers or at least two trough markers are obtained; the statistical analysis and/or machine learning methods The at least two pulse sound characteristic values are analyzed to obtain the regularity evaluation information.
  • the processor 220 analyzes the at least two pulse sound feature values through statistical analysis and/or machine learning to obtain the regularity evaluation information, which may include: the processor 220 performs statistical analysis The scientific analysis method analyzes the at least two pulse sound characteristic values to obtain statistical analysis data, and obtains the regularity evaluation information according to the statistical analysis data; and/or combines the at least two pulse sound The pulse sound characteristic value is used as input, and the output of the regularity evaluation information is obtained. That is, the at least two pulse sound feature values are used as the input of the machine learning model to obtain the output of the regularity evaluation information.
  • the processor 220 is further configured to output prompt information according to the regularity evaluation information.
  • the prompt information includes at least one of pulse wave related information, executable function related information, and the regularity evaluation information;
  • the type of regularity evaluation information includes an evaluation result used to indicate regular or irregular pulse beats and/or heart rhythms
  • the pulse wave-related information includes pulse wave waveforms and/or rhythm quantification parameter values
  • the executable function is a function that can be executed in the next step when the regularity evaluation information meets the preset condition.
  • the rhythm quantitative parameter value includes at least one characteristic value including pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, and pulse width, and/or at least includes the maximum value statistically analyzed according to at least one characteristic value , Ratio, Sum, Integral, Difference, Mean, Standard Deviation, Maximum Interval, Minimum Interval, show the degree of variability, statistical analysis data including one of the times of variation.
  • the monitoring device 200 further includes a display screen 240, the regularity evaluation information can be displayed on the first display area of the display screen, and the pulse wave related information can be displayed on the second display area of the display screen.
  • relevant information about executable functions can be displayed in the third display area of the display screen. That is, the prompt information may specifically include at least one of the following: the regularity evaluation information displayed in the first display area of the display screen 240; and the pulse wave displayed in the second display area of the display screen 240 Related information; related information of the executable function displayed in the third display area of the display screen 240, wherein the executable function is the next executable function when the regularity evaluation information meets the preset condition.
  • the regularity evaluation information may include evaluation results used to indicate rules or irregularities.
  • the regularity evaluation information is displayed in at least one of the following forms: text, pattern, light, sound, and vibration.
  • the processor 220 displays corresponding prompt information according to whether the regularity evaluation information is used to indicate a rule or an irregularity.
  • the prompt information may only include the regular evaluation information P1 of "suspected irregular pulse".
  • the first display area A1 may be the entire display of the display screen. Area or a certain area in the current interface displayed on the screen.
  • the current interface may be a certain functional interface or system interface of the monitoring device 200.
  • the regularity evaluation information P1 can also include other words such as "irregular pulse”, “irregular”, “abnormal pulse”, “abnormal”, “irregular pulse interval”, etc., as long as it can prompt the measurement object to be present. Irregular pulse or irregular pulse may occur, and there is no restriction on its written expression.
  • the prompt information may be "regular pulse”, “rule”, "normal” and other text information that can prompt the measurement subject to have a normal pulse.
  • the prompt information includes regular evaluation information
  • the user can directly see the results of the device's intelligent analysis, which is convenient and intuitive, and facilitates the user to perform follow-up examinations, such as booking an ECG examination, ultrasound examination, etc.
  • the prompt information may only include the pulse wave related information P2 displayed in the second display area A2.
  • the second display area A2 may be the entire display area of the display screen or a certain area in the current interface displayed on the display screen.
  • the prompt information can be displayed on the current interface through a pop-up window.
  • the prompt information may be displayed on the prompt interface after switching from the current interface to a prompt interface.
  • the prompt information includes pulse wave related information P2
  • it can provide the user with a waveform reference for the user to confirm the regular evaluation information.
  • the prompt information may also include the regularity evaluation information P1 and the pulse wave related information P2.
  • the first display area A1 where the regularity evaluation information P1 is located is adjacent to the second display area A2 where the pulse wave related information P2 is located. Understandably, the first display area A1 and the second display area A2 may not be adjacent to each other, and may be set arbitrarily. In this embodiment, the adjacent settings of the first display area A1 and the second display area A2 can facilitate the user to intuitively view the regularity evaluation information and combine the pulse wave related information to determine the occurrence regularity of the measurement object based on the pulse wave related information Specific reasons for evaluating information.
  • the prompt information may include regularity evaluation information P1 displayed in the first display area A1, pulse wave related information P2 displayed in the second display area A2, and pulse wave related information P2 displayed in the second display area A2.
  • Information P3 related to the executable function of the area A3 is displayed. Displaying the relevant information P3 of the executable function can play a role of prompting and guiding the relevant operation to be performed in the next step, so that the user can learn and execute the operation to be performed in the next step.
  • first display area A1, the second display area A2, and the third display area A3 are sequentially arranged adjacent to A3.
  • the first display area A1, the third display area A3, and the second display area A2 may be arranged adjacently in sequence, as long as it is ensured that multiple areas are arranged adjacently. The order can be adjusted arbitrarily.
  • the at least two display areas are located on the display screen 240 adjacently. Understandably, the at least two display areas are arranged adjacently on the display screen to facilitate the user to view the regularity evaluation information, pulse wave related information, and executable function related information. In other embodiments of the present application, the display areas may not be arranged adjacently.
  • the display screen further includes a touch area T for retracting or expanding the second display area P2 to hide or display the pulse wave related information A2 accordingly.
  • the regularity evaluation information A1 is displayed in the first display area P1, which is convenient for the user to pay attention to the regularity evaluation information A1, the second display area P2 is retracted, and the pulse wave related information A2 is hidden. This setting allows users to choose to view or hide pulse wave related information according to actual needs.
  • the prompt information including at least one of the regularity evaluation information, pulse wave related information, and executable function related information prompt information can also be displayed on the current interface in a pop-up window, or switch from the current interface After reaching a prompt interface, it is displayed in the prompt interface.
  • the regularity evaluation information is displayed in at least one of the following forms: text, pattern, and light.
  • the regularity evaluation information may include both text and patterns: "Suspected irregular pulse Obviously, an indicator light can also be provided on the display, and the regularity evaluation information can also be indicated by the light emitted by the indicator light. For example, when a red light is emitted, it indicates “irregularity", and when a green light is emitted When, indicate "rules”.
  • the prompt information when the prompt information is displayed in a pop-up window and includes at least two of the regularity evaluation information, pulse wave related information, and executable function related information, the regularity evaluation information, pulse wave At least two of the wave-related information and the relevant information prompt information of the executable function may be displayed in the same window, or may be displayed in different windows. That is, at least two of the first display area A1, the second display area A2, and the third display area A3 may be located in the same window, or may be located in different windows.
  • the second display area A2 further includes a first sub display area A21, and the pulse wave related information includes pulse wave waveforms displayed in the first sub display area for a period of time.
  • the pulse wave waveform is a corresponding pulse wave waveform obtained by extracting a pulse wave signal related to the measurement object from the periodic physiological signal. By displaying the pulse wave waveform, the pulsation of the pulse can be visually displayed.
  • the second display area A2 includes a second sub display area A22
  • the pulse wave related information also includes rhythm quantization parameter values
  • the rhythm quantization parameter values include displayed in the second sub display area
  • the statistical analysis data includes the maximum value, ratio, sum, integral, difference, mean, standard deviation, maximum interval, minimum interval, display variability, number of variations, and maximum pulse rate of the characteristic value At least one of the minimum pulse rate values;
  • the characteristic value includes: at least one of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, and pulse width. That is, the pulse wave-related information may also include characteristic values representing the fluctuation rhythm of the pulse wave obtained directly from the pulse wave signal, and/or statistical analysis data obtained after statistical analysis of these characteristic values.
  • the first sub-display area A21 and the second sub-display area A22 are adjacently arranged.
  • the specific positional relationship between the first sub-display area A21 and the second sub-display area A22 is not limited.
  • the second sub-display area A22 is on the upper side, or as shown in FIG. 5-6
  • the first sub-display area A21 may be at the top.
  • the information related to the executable function includes guide information of the executable function and/or function icon of the executable function.
  • the guide information of the executable function is used to inform the user of the executable function that can be performed by the monitoring device 200 after the monitoring device 200 outputs the prompt information.
  • the guide information can be text or pattern to guide the user to understand the monitoring The executable functions of the device 200 and how to trigger the executable functions.
  • the relevant information of the executable function may also directly include the function icon B1 of the executable function, so that the function icon B1 of each executable function is displayed in a more direct manner, and the function icon B1 of each executable function is displayed for user operation to trigger The corresponding executable function.
  • the processor 220 is further configured to control the execution of the function corresponding to the function icon B1 in response to the trigger operation on the function icon B1.
  • the executable functions include at least one of printing pulse wave waveforms, scheduling ECG examinations, and scheduling ultrasound examinations, and may also include other functions, such as user-defined common functions.
  • the function icon B1 may include at least one function icon including a function icon for printing pulse wave waveforms, a function icon for scheduled ECG examination, and a function icon for scheduled ultrasound examination.
  • the type of regularity evaluation information includes regular or irregular pulse beats and/or heart rhythms.
  • the processor 220 is also used for evaluating regularity. When the information is irregular, output alarm information.
  • the presentation form of the alarm information includes at least one of text, pattern, light, sound, and vibration.
  • the monitoring device 200 further includes an indicator light 250, a speaker 260, and a vibrator 270.
  • the processor 220 may control the display screen 240 to display the text and/or pattern.
  • the processor 220 may control the display screen 240 to display the text and/or pattern.
  • the processor 220 The display screen or the indicator light 250 can be controlled to display corresponding light, for example, the entire screen or a specific area of the display screen can be controlled to display colors such as red, or the indicator light 250 can be controlled to emit red light.
  • the indicator light 250 may specifically be an indicator light including a red LED light, a green LED light, and a blue LED light.
  • the processor 220 may generate or mix colors by controlling the lighting of different colors and/or numbers of LED lights. The corresponding color light.
  • the processor 220 may control the speaker 260 to output sound.
  • the processor 220 may control the vibrator 270 to generate vibration.
  • the processor 220 when the regularity evaluation information is irregular, the processor 220 also determines the alarm gear according to the acquired characteristic value, and controls the output of the alarm information of the corresponding alarm gear, wherein the alarm The gear positions include at least two gear positions.
  • the processor 220 compares the acquired characteristic value with multiple reference values, determines the characteristic value interval in which the characteristic value is located, and according to the determined characteristic value interval and the corresponding relationship between the characteristic value interval and the alarm gear, Determine the corresponding alarm gear.
  • the processor 220 determines that the corresponding alarm gear is the first alarm gear when the slope is greater than or equal to the first slope and less than the first slope, And control to emit a green light or an audible alarm message with a smaller decibel; when the slope is greater than or equal to the first slope and less than the third slope, the processor 220 determines that the corresponding alarm gear is the second alarm gear, and controls to emit orange Light or medium-decibel sound alarm information; when the slope is greater than or equal to the third slope, the processor 220 determines that the corresponding alarm gear is the third alarm gear, and controls to emit a red light or the highest-decibel sound alarm information.
  • first slope is smaller than the second slope
  • second slope is smaller than the third slope
  • first alarm gear is smaller than the second alarm gear
  • second alarm gear is smaller than the third alarm gear
  • the number of the alarm gears can be any suitable value such as 2, 3, 4, etc.
  • the correspondence relationship between the characteristic value interval and the alarm gear position may be a correspondence relationship table, a correspondence relationship curve, etc., pre-stored in the memory 230.
  • the processor 220 is further configured to respond to a result change operation or confirmation operation input by the user, and change or confirm the regularity evaluation information used to indicate a rule or an irregularity.
  • the prompt information can be displayed on an interface in a pop-up window.
  • the prompt information includes a detailed information zone Z1 and a judgment zone Z2.
  • the detailed information zone Z1 displays The detailed information is for the user to judge whether the rule is ruled or not.
  • the judgment zone Z2 includes the options of “rule” and “irregular”. The options of “rule” and “irregular” are used for the user to select to obtain the regularity. Evaluation information.
  • the detailed information includes: pulse wave signal ("pleth" area in the figure), pulse identification, pulse interval measurement value, maximum interval, minimum interval, display variability and other information.
  • the content of the detailed information does not overlap with the content of the prompt information at all, and the detailed information gives more information than the prompt information. Understandably, in other embodiments of the present application, the content contained in the detailed information may also be partially or completely consistent with the content contained in the prompt information.
  • the processor 220 determines that the regularity evaluation information is a rule in response to a selection operation of the "rule” option, or confirms that the regularity evaluation information is irregular in response to a selection operation of the "irregular" option.
  • the prompt message includes a "rule” and "irregular” selection box displayed on a certain interface of the monitoring device 200.
  • the "rule” and “irregular” options are used for the user to choose to confirm or modify the regular evaluation information.
  • the current regularity evaluation information is prompted through the currently selected "rule" selection box S1 and “irregular” selection box S2, and the user can respond to the user's response to the "rule" selection box S1 or "irregular "Select box S2 to change the regular evaluation information.
  • the entire interface may be a prompt information interface.
  • the prompt information also includes an interface to provide an operation interface for the user to call up detailed information to assist the user in judgment.
  • the detailed information includes: pulse wave signal ("pleth" area in the figure), pulse identifier , Pulse interval measurement value, maximum pulse interval, minimum pulse interval, pulse interval variability and other information, or further including the variability threshold, the number of mutations, the threshold of the number of mutations, the maximum pulse rate, the minimum pulse rate and other information.
  • the prompt information of FIGS. 7-10 may also be output when the processor 220 controls the output of the alarm information, for example, when the sound alarm information is output, the display screen 240 is simultaneously controlled to display corresponding prompt information.
  • the processor 220 is further configured to determine the prompt information to be displayed according to the regularity evaluation information before outputting the prompt information according to the regularity evaluation information.
  • the processor 220 determines that the regularity evaluation information in the prompt information to be displayed is a text or pattern such as "rules", and when the regularity evaluation information is irregular, it determines that the regularity evaluation information is irregular.
  • the regularity evaluation information in the displayed prompt information is text or patterns such as "irregular”.
  • the monitoring device 200 further includes a communication unit 280, which is used to establish communication with a monitoring management device 300 such as department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment. connection.
  • a monitoring management device 300 such as department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment. connection.
  • the communication unit 280 can also be used to communicate with the bedside monitoring device 202 and department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment and other monitoring management equipment 300 Establish a communication connection.
  • the communication unit 280 includes at least one of a Bluetooth module, a WMTS communication module, an NFC communication module, a WIFI communication module, and a mobile communication network module such as 2G/3G/4G/5G.
  • the processor 220 is further configured to send the prompt information to the department-level workstation equipment and/or the hospital-level data center/hospital-level emergency center management equipment and other monitoring and management equipment 300 through the communication unit 280, through the department-level workstation equipment And/or the hospital-level data center/hospital-level emergency center management equipment outputs the prompt information.
  • the processor 220 may send the regularity evaluation information or the prompt information to the bedside monitoring device 202, department-level workstation equipment, and/or hospital-level Monitoring and management equipment 300 such as data center/hospital-level emergency center management equipment, through the bedside monitoring equipment 202, department-level workstation equipment, and/or hospital-level data center/hospital-level emergency center management equipment, output the information according to the regularity evaluation information Prompt information.
  • the prompt information can also be sent to the bedside monitoring device 202 for display output.
  • the processor 220 is further configured to send the periodic physiological signals to department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment through the communication unit 280, through the department-level workstation Equipment and/or hospital-level data center/hospital-level emergency center management equipment performs "extracting the pulse wave signal related to the measurement object from the periodic physiological signal” and “processing the pulse wave signal to extract the pulse wave signal "Acquire the characteristic value of the fluctuation rhythm of the pulse wave according to the pulse wave signal” and "analyze the characteristic value to obtain the regularity evaluation information" to obtain the regularity evaluation information.
  • the processor 220 is further configured to receive regularity evaluation information from department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment through the communication unit 280, and according to the received The regularity evaluation information outputs prompt information.
  • the processor 220 may send the periodic physiological signals to the bedside monitoring device 202, department-level workstation equipment and/or hospital-level data center/hospital. Level emergency center management equipment, etc., through the bedside monitoring equipment 202, department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment, etc., to obtain regular evaluation information; and the processor 220 also Regularity evaluation information can be received from the bedside monitoring equipment 202, department-level workstation equipment, and/or hospital-level data center/hospital-level emergency center management equipment, and output prompt information according to the received regularity evaluation information.
  • the prompt information may also be determined by department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment, and then sent to the monitoring device 200 for display output.
  • the processor 220 may directly receive prompt information from department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment through the communication unit 280.
  • the processor 220 is further configured to perform the following operations: after processing the pulse wave signal to extract the pulse wave signal, perform quality analysis on the pulse wave signal to obtain a quality evaluation value; and compare the quality evaluation value with A preset threshold value for comparison; when it is determined that the quality evaluation value is less than the preset threshold value, the subsequent analysis step of regularity evaluation information is not performed or prompt information is not output, or the subsequent analysis step of regularity evaluation information is not performed In the case of outputting prompt information; when it is determined that the quality evaluation value is greater than or equal to the preset threshold, the subsequent step of analyzing the regularity evaluation information is performed.
  • the quality evaluation value may be the aforementioned quality factor.
  • the “performing the subsequent step of analyzing the regularity evaluation information” may further include: mapping the quality evaluation value to the quality factor coefficient of the acquired characteristic value; and combining the characteristic value and The quality factor coefficient is calculated to obtain the corrected characteristic value; the analysis is performed according to the corrected characteristic value to obtain the regularity evaluation information.
  • the processor 220 uses at least one analysis technique of time domain technology, frequency domain technology, and nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least one feature value; and
  • the at least one characteristic value obtains a quality evaluation value.
  • the processor 220 may use one of time domain technology, frequency domain technology, and nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least one feature value.
  • the processor 220 may use at least one analysis technology of time domain technology, frequency domain technology, and nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least two types of feature values. The value and the weight of each type of feature value yield the final feature value.
  • the processor 220 performing the subsequent step of analyzing the regularity evaluation information may also include: the processor 220 determining the weight value of the characteristic value and the weight value of the quality quality evaluation value according to the quality evaluation value According to the weight value of the characteristic value and the weight value of the quality evaluation value, the characteristic value and the quality evaluation value are weighted and calculated to obtain the weighted characteristic value; the weighted characteristic value is analyzed to obtain the regularity evaluation information.
  • the processor 220 directly outputting the prompt information without performing the subsequent step of analyzing the regularity evaluation information refers to outputting the prompt information not based on the regularity evaluation information.
  • the prompt information includes pulse wave related information, that is, pulse wave related information is directly output, where the pulse wave related information includes pulse wave waveform and rhythm quantization parameter values.
  • the prompt information only includes the pulse wave waveform in the pulse wave related information.
  • the processor 220 is further configured to receive an input instruction to execute the step of "obtain the characteristic value of the fluctuation rhythm of the pulse wave according to the pulse wave signal", and according to The characteristic value outputs a rhythm quantization parameter value.
  • Rhythm quantization parameter values are as described above, for example, include pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, pulse width, etc., which will not be repeated here.
  • the monitoring device can also input instructions to trigger the monitoring device to execute the step "Acquire the characteristics of the pulse wave rhythm characteristics according to the pulse wave signal. Value", and obtain parameters including characteristic values such as pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, pulse width, etc., and further information can be obtained for artificial judgment to obtain regularity evaluation and analysis.
  • the memory 230 also stores program instructions, which are used by the processor 220 to execute the method steps in FIG. 2 as described above.
  • the aforementioned methods in Fig. 2 and Fig. 11 and the functions of the monitoring device 200 in Fig. 12 can be referred to each other.
  • FIG. 17 is a module architecture diagram of a monitoring device 200 in another embodiment of the application. As shown in FIG. 12, it is a block diagram of the monitoring device 200. As shown in FIG. 17, the monitoring device 200 includes a first sensor 211, at least one second sensor 212 and a processor 220.
  • the first sensor 211 is used to obtain periodic physiological signals of the measuring object.
  • the at least one second sensor 212 is used to obtain signals of other physiological signs of the human body, wherein the first sensor 211 is a non-cardiograph sensor.
  • the processor 220 is configured to extract a pulse wave signal related to the measurement object from the periodic physiological signal, and obtain regularity evaluation information according to the pulse wave signal and the other physiological sign signals.
  • the processor 220 obtains regularity evaluation information according to the pulse wave signal and the other physiological sign signals, including: the processor 220 filters out the influence of other physiological sign signals in the pulse wave signal to obtain The filtered pulse wave signal; obtaining the characteristic value representing the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal; and analyzing the characteristic value to obtain regularity evaluation information.
  • the processor 220 filters out the influence of other physiological signs from the pulse wave signal to obtain the filtered pulse wave signal, which specifically includes: the processor 220 obtains the rhythm based on the pulse wave signal Quantify parameter values and obtain other physiological sign parameter values according to the other physiological sign signals; determine a filtering scheme according to the rhythm quantitative parameter value and the other physiological sign parameter values; filter the pulse wave signal according to the filtering scheme In addition to the influence of other physiological signs, the filtered pulse wave signal is obtained.
  • the monitoring device 200 further includes a plurality of filters 290, for example, the plurality of filters 290 include filter 1, filter 2, filter N, etc., where N is a positive integer, and N is The quantity is set according to needs.
  • the multiple filters 290 may be hardware filters, for example, RC filters composed of adjustable resistors and adjustable capacitors, LC filters composed of adjustable inductors and adjustable capacitors, or digital filters. The filter, therefore, the filter parameters can be adjusted by adjusting resistance, capacitance, inductance, etc., or by digital adjustment.
  • the filtering scheme includes a selected filter 290 and filtering parameters.
  • the processor 220 determining the filtering scheme according to the rhythm quantization parameter value and the other physiological sign signals includes: the processor 220 according to the rhythm The ratio or difference between the quantization parameter value and the other physiological sign parameter value determines the corresponding target filter 290 and target filter parameter.
  • the processor 220 obtains the filtered pulse wave signal by filtering out the influence of other physiological signs in the pulse wave signal according to the filtering scheme, including: the processor 220 passes the target filter 290 to the The target filter parameter filters the pulse wave signal to obtain a filtered pulse wave signal.
  • each filter corresponds to a variety of filter parameters.
  • the target filter and the target filter parameter can also be determined according to other relationships between the rhythm quantization parameter value and the other physiological sign parameter value, such as a product.
  • the processor 220 determines the corresponding target filter and target filter parameter according to the ratio or difference between the rhythm quantization parameter value and the other physiological sign parameter value, including: the processor 220 according to a preset ratio Or the corresponding relationship between the difference and the filtering scheme, determine the filtering scheme corresponding to the ratio or difference between the rhythm quantization parameter value and the other physiological sign parameter value; determine that the filter 290 and the filtering parameter in the filtering scheme are respectively the Target filter 290 and target filter parameters.
  • the correspondence between the ratio and the filtering scheme may be a correspondence table pre-stored in the memory 230.
  • the at least one second sensor 212 includes a respiration sensor
  • the other physiological sign signal includes a respiration signal
  • the other physiological sign parameter value includes a respiration rate
  • the rhythm quantization parameter value includes a pulse rate
  • the first sensor includes at least one of a photoelectric sensor, a pressure sensor, an electromagnetic sensor, a sound sensor, and an acceleration sensor.
  • the photoelectric sensor radiates light of different wavelengths into the tissue area of the measurement object, and detects the optical signal sent through the tissue area as the aforementioned periodic physiological signal.
  • the photosensor may include a blood oxygen sensor.
  • the blood oxygen sensor is used to radiate light of different wavelengths into the tissue area of the measurement object, and detect the optical signal sent through the tissue area, so that the processor 220 can extract the light of the tissue area from the optical signal. Absorb the generated photoplethysmographic signal. That is, the aforementioned pulse wave signal derived from the periodic physiological signal is the photoplethysmographic pulse wave signal.
  • the blood oxygen sensor when the first sensor includes a blood oxygen sensor, the blood oxygen sensor includes a blood oxygen probe, and the blood oxygen probe may have a clamping structure for clamping on a measurement object, such as a patient's finger.
  • the tissue area may be a finger part area of the measurement object.
  • the pressure sensor is used to obtain the periodic physiological signal of the measurement object according to the change of the pressure in the pressure signal.
  • the pressure sensor may be a blood pressure sensor
  • the periodic physiological signal may be a periodic pressure signal generated by vascular fluctuations
  • the “extract the pulse wave signal related to the measurement object from the periodic physiological signal” “Includes: obtaining the pulse wave signal of the measurement object according to the change of the pressure in the pressure signal.
  • the electromagnetic sensor may include a conductive ring worn on the wrist and a Hall sensor and other sensors arranged in the magnetic field of the conductive ring.
  • the conductive ring on the wrist expands and contracts following the pulse of the pulse, resulting in a change in the magnetic field.
  • the Hall sensor detects the change and generates the corresponding electromagnetic induction signal.
  • the periodic physiological signal may be a periodic electromagnetic induction signal, and the "extracting the pulse wave signal related to the measurement object from the periodic physiological signal" includes: according to the change of the induction intensity in the electromagnetic induction signal The pulse wave signal of the measurement object is obtained.
  • the sound signal of pulse pulsation can be collected by the sound sensor sensor, that is, the periodic physiological signal can be a sound signal, and then analyzed by the characteristics of sound frequency, volume, timbre, etc. Can get pulse wave signal.
  • the specific manner in which the processor 220 obtains the characteristic value characterizing the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal may be the same as obtaining the characterizing pulse wave according to the pulse wave signal in the embodiment shown in FIG.
  • the characteristic values of the fluctuating rhythms are the same, except that the pulse wave signal is a filtered pulse wave signal.
  • the pulse wave signal is a filtered pulse wave signal.
  • the processor 220 obtains the characteristic value of the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal, including: the processor 220 adopts the time domain technology, the frequency domain technology and the nonlinear dynamics technology. At least one analysis technique performs feature extraction on the pulse wave signal to obtain corresponding at least one feature value.
  • the processor 220 uses time domain technology to perform feature extraction on the pulse wave signal to obtain at least one time domain feature value.
  • the at least one time domain characteristic value includes at least one of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, and pulse width.
  • the processor 220 may only use frequency domain technology to convert the pulse wave signal into a frequency domain signal, and then perform feature extraction on the frequency domain signal to obtain at least one frequency domain feature value.
  • the frequency domain feature value includes at least one of a spectrum feature and a power spectrum feature.
  • the processor 220 may also perform feature extraction on the pulse wave signal using only nonlinear dynamics technology to obtain at least one nonlinear dynamics feature value.
  • the nonlinear dynamics characteristic value includes entropy or complexity.
  • the processor 220 obtains the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal, and further includes: the processor 220 performs characteristic extraction on the pulse wave signal for a period of time or several cycles to obtain at least Two characteristic values; the analyzing the characteristic values to obtain regularity evaluation information includes: analyzing the at least two characteristic values by a statistical analysis method and/or a machine learning method to obtain the regularity evaluation information .
  • the processor 220 analyzes the at least two characteristic values through a statistical analysis method to obtain statistical analysis data, and obtains the regularity evaluation information according to the statistical analysis data; and/or through machine learning In the method, the at least two characteristic values are used as input to obtain the output of the regularity evaluation information.
  • the processor 220 adopts at least one analysis technology of time domain technology, frequency domain technology and nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain the corresponding at least one feature value, and may further include:
  • the processor 220 uses at least one analysis technology of time domain technology, frequency domain technology, and nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least two types of feature values. According to the two types of feature values and each The weight of the class eigenvalues yields at least one final eigenvalue.
  • the at least two different characteristic values include at least two characteristic values analyzed by different analysis techniques and/or at least two different characteristic values analyzed by the same analysis technique.
  • the processor 220 is also used to convert the extracted characteristic value into an intermediate characteristic value after acquiring the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal.
  • the processor 220 analyzing the characteristic value to obtain regularity evaluation information includes: the processor 220 performs analysis based on the intermediate characteristic value to obtain the regularity evaluation information.
  • the intermediate feature value includes a pulse rate value
  • the processor 220 converting the extracted feature value into an intermediate feature value includes: the processor 220 converts the extracted feature value into a pulse rate value.
  • the processor 220 is further configured to perform analysis based on the pulse rate value to obtain regularity evaluation information.
  • the intermediate characteristic value may also include a pulse sound characteristic value
  • the processor 220 is specifically configured to convert the extracted characteristic value into a pulse sound characteristic value, and analyze based on the pulse sound characteristic value to obtain a regularity evaluation information.
  • the processor 220 converting the extracted characteristic value into a pulse sound characteristic value includes: the processor 220 determines the arrival time of the peak or trough of the pulse according to the extracted characteristic value, and proceeding at the arrival time of the peak or trough Wave crest or trough mark; generate pulse sound characteristic value based on wave crest or trough mark.
  • the processor 220 analyzes based on the pulse sound characteristic value to obtain regularity evaluation information, which may further include: the processor 220 marks the peaks or troughs of the pulse wave signal within a period of time or several cycles Obtain at least two wave peaks or trough marks, and obtain at least two pulse sound feature values generated by at least two wave crests or at least two trough marks; and compare the at least two pulse sound features by means of statistical analysis and/or machine learning. Value is analyzed to obtain the regularity evaluation information.
  • the monitoring device 200 further includes a memory 230, a display screen 240, an indicator light 250, a speaker 260, and a vibrator 270.
  • the processor 220 is further configured to output prompt information according to the regularity evaluation information. Specifically, the processor 220 controls to output prompt information on the display screen 240 according to the regularity evaluation information.
  • the content of the prompt information output according to the regularity evaluation information is the same as the content of the same part of the monitoring device in the embodiment shown in FIG. 16. For details, refer to the related description of FIG. 16.
  • the prompt information includes at least one of pulse wave related information, executable function related information, and the regularity evaluation information;
  • the type of regularity evaluation information includes an evaluation result used to indicate regular or irregular pulse beats and/or heart rhythms
  • the pulse wave-related information includes pulse wave waveforms and/or rhythm quantification parameter values
  • the executable function is a function that can be executed in the next step when the regularity evaluation information meets the preset condition.
  • the rhythm quantification parameter value includes at least one characteristic value including pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, and pulse width, and/or at least includes the highest value statistically analyzed according to at least one characteristic value, Statistical analysis data including one of ratio, sum, integral, difference, mean, standard deviation, maximum interval, minimum interval, pulse variability, number of variations, maximum pulse rate, and minimum pulse rate, and/ Or at least one threshold including the threshold of the degree of variability and the threshold of the number of mutations.
  • the regularity evaluation information is displayed in at least one of the following forms: text, pattern, and light.
  • the type of the regularity evaluation information includes a pulse and/or heart rhythm used to indicate regular or irregular, and the processor 220 controls to output alarm information when the regularity evaluation information is irregular.
  • the content of the output alarm information is also the same as the related content in the related embodiment of the monitoring device 200 shown in FIG. 16. For details, reference may be made to the related description of the monitoring device 200 shown in FIG. 16.
  • the presentation form of the alarm information includes at least one of text, pattern, light, sound, and vibration.
  • the processor 220 may control the display screen 240 to display the text and/or pattern.
  • the processor 220 may control the display screen 240 to display the text and/or pattern.
  • the processor 220 The display screen or the indicator light 250 can be controlled to display corresponding light, for example, the entire screen or a specific area of the display screen can be controlled to display colors such as red, or the indicator light 250 can be controlled to emit red light.
  • the indicator light 250 may specifically be an indicator light including a red LED light, a green LED light, and a blue LED light.
  • the processor 220 may generate or mix colors by controlling the lighting of different colors and/or numbers of LED lights. The corresponding color light.
  • the processor 220 may control the speaker 260 to output sound.
  • the processor 220 may control the vibrator 270 to generate vibration.
  • the processor 220 when the regularity evaluation information is irregular, the processor 220 also determines the alarm gear according to the acquired characteristic value, and controls the output of the alarm information of the corresponding alarm gear, wherein the alarm The gears include at least two gears.
  • the processor 220 compares the acquired characteristic value with multiple reference values, determines the characteristic value interval in which the characteristic value is located, and according to the determined characteristic value interval and the corresponding relationship between the characteristic value interval and the alarm gear, Determine the corresponding alarm gear.
  • the processor 220 determines that the corresponding alarm gear is the first alarm gear when the slope is greater than or equal to the first slope and less than the second slope, And control to emit a green light or an audible alarm message with a smaller decibel; when the slope is greater than or equal to the second slope and less than the third slope, the processor 220 determines that the corresponding alarm gear is the second alarm gear, and controls to emit orange Light or medium-decibel sound alarm information; when the slope is greater than or equal to the third slope, the processor 220 determines that the corresponding alarm gear is the third alarm gear, and controls to emit a red light or the highest-decibel sound alarm information.
  • the first slope is smaller than the second slope, and the second slope is smaller than the third slope.
  • the first alarm gear is smaller than the second alarm gear
  • the second alarm gear is smaller than the third alarm gear
  • the number of the alarm gears can be any suitable value such as 2, 3, 4, etc.
  • the correspondence relationship between the characteristic value interval and the alarm gear position may be a correspondence relationship table, a correspondence relationship curve, etc., pre-stored in the memory 230.
  • the monitoring device 200 further includes a communication unit 280, which is used to establish communication with a monitoring management device 300 such as department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment. connection.
  • a monitoring management device 300 such as department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment. connection.
  • the communication unit 280 can also be used to communicate with the bedside monitoring device 202 and department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment and other monitoring management equipment 300 Establish a communication connection.
  • the communication unit 280 includes at least one of a Bluetooth module, a WMTS communication module, an NFC communication module, a WIFI communication module, and a mobile communication network module such as 2G/3G/4G/5G.
  • the processor 220 is further configured to send the prompt information to the department-level workstation equipment and/or the hospital-level data center/hospital-level emergency center management equipment and other monitoring and management equipment 300 through the communication unit 280, through the department-level workstation equipment And/or the hospital-level data center/hospital-level emergency center management equipment outputs the prompt information.
  • the processor 220 is further configured to send the periodic physiological signals to department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment through the communication unit 280, through the department-level workstation
  • the equipment and/or hospital-level data center/hospital-level emergency center management equipment performs “extracting the pulse wave signal related to the measurement object from the periodic physiological signal”, “obtaining the characteristic pulse wave signal from the pulse wave signal”
  • the regularity evaluation information is obtained by processing operations such as "the characteristic value of the fluctuation rhythm" and "analyzing the characteristic value to obtain the regularity evaluation information”.
  • the processor 220 is further configured to receive regularity evaluation information from department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment through the communication unit 280, and according to the received The regularity evaluation information outputs prompt information.
  • the processor 220 may send the periodic physiological signals to the bedside monitoring device 202, department-level workstation equipment and/or hospital-level data center/hospital. Level emergency center management equipment, etc., through the bedside monitoring equipment 202, department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment, etc., to obtain regular evaluation information; and the processor 220 also Regularity evaluation information can be received from the bedside monitoring equipment 202, department-level workstation equipment, and/or hospital-level data center/hospital-level emergency center management equipment, and output prompt information according to the received regularity evaluation information.
  • the prompt information may also be determined by department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment, and then sent to the monitoring device 200 for display output.
  • the processor 220 may directly receive prompt information from department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment through the communication unit 280.
  • the memory 230 also prestores the ratio interval or the correspondence relationship between the difference interval and the filter, and the ratio is the aforementioned rhythm quantization parameter value and the For the ratio of other physiological sign parameter values, three filters are used as an example.
  • the processor 220 is also specifically used to determine the value of the rhythm quantization parameter and other physiological sign parameter values in terms of filter selection.
  • the ratio or difference of is less than the first preset ratio or difference; if it is less than the first preset ratio or difference, select the first filter for filtering, if it is greater than or equal to the first preset ratio or difference, continue Determine whether the ratio or difference is less than a second preset ratio or difference, where the second preset ratio or difference is greater than the first preset ratio or difference; if the ratio or difference is less than For the second preset ratio or difference, the second filter is selected for filtering, and if it is greater than or equal to the second preset ratio or difference, the third filter is selected for filtering.
  • the filter 290 including the first filter, the second filter, and the third filter when the ratio or difference between the rhythm quantization parameter value and the other physiological parameter value is smaller than the first
  • the first filter is selected for filtering.
  • the ratio or difference between the rhythm quantization parameter value and other physiological parameter values is greater than or equal to the first preset ratio or difference and less than the second preset ratio or
  • the second filter is selected for filtering, and when the ratio or difference between the rhythm quantization parameter value and the other physiological parameter values is greater than the second preset ratio or difference, the third filter is selected for filtering.
  • the filter parameter may be determined according to the ratio interval or the difference interval at the same time as the filter, that is, after the processor 220 determines the filter according to the ratio interval or the difference interval, it may also be determined according to the ratio interval or the difference interval. Determine the corresponding filter parameters, that is, different ratio intervals or difference intervals can also correspond to different filter parameters.
  • the processor 220 obtains regularity evaluation information according to the pulse wave signal and the other physiological sign signals, specifically including: the processor 220 extracts physiological sign parameters from the other physiological sign signals Value, according to the pulse wave signal to obtain a characteristic value that characterizes the rhythm of the pulse wave, analyze the characteristic value to obtain first regularity evaluation information, and analyze the physiological sign parameter value to obtain second regularity evaluation information, and The first regularity evaluation information and the second regularity evaluation information are described to obtain the final regularity evaluation information.
  • the at least one second sensor 212 may be an ECG sensor, the other physiological sign signal is an ECG signal, the physiological sign parameter value is an ECG parameter value, and the processor 220 is based on the first
  • the final regularity evaluation information is obtained from the regularity evaluation information and the second regularity evaluation information, including: the processor 220 selects any one of them when the first regularity evaluation information and the second regularity evaluation information are consistent. One is the final regularity evaluation information; and when the first regularity evaluation information is inconsistent with the second regularity evaluation information, the second regularity evaluation information is selected as the final regularity evaluation information.
  • the processor 220 is further configured to use the characteristic value obtained according to the analysis of the first regularity evaluation information as the input of the machine learning model and use the final regularity evaluation information as the machine learning model.
  • the output of the model is bound to each other to further improve the machine learning model.
  • the at least one second sensor 212 includes an ECG sensor, which can directly detect ECG signals and obtain regularity evaluation information, while the first sensor 211 is detected by non-ECG sensors.
  • the regularity evaluation information obtained by the analysis of the pulse wave signal is verified, and the regularity evaluation information obtained based on the ECG signal is used as the final regularity evaluation information, so as to train and improve the machine learning model, and improve the The accuracy of the regularity evaluation information obtained from the pulse wave signal detected by the electrical sensor.
  • the ECG sensor and the non-ECG sensor can be used for detection at the same time in the first several times, and in the subsequent period, the non-ECG sensor can be used for periodic physiology. Signal detection and regular evaluation information based only on signals obtained by non-ECG sensors can still ensure the accuracy of the evaluation.
  • the memory 230 also stores program instructions, and the program instructions are used by the processor 220 to execute the steps in the analysis methods in FIGS. 12, 13, and 14.
  • monitoring device 200 for a more specific structure and functions performed by the monitoring device 200, reference may be made to the related description of the monitoring device 200 in FIG. 16, and may also refer to the related descriptions of FIGS. 2, 11, and 12-14, which will not be repeated here.
  • the multi-parameter monitor or module assembly at least includes a parameter measurement circuit 112.
  • the parameter measurement circuit 112 includes at least one parameter measurement circuit corresponding to a physiological parameter.
  • the parameter measurement circuit includes at least an ECG signal parameter measurement circuit, a respiratory parameter measurement circuit, a body temperature parameter measurement circuit, a blood oxygen parameter measurement circuit, a noninvasive blood pressure parameter measurement circuit, and a At least one parameter measurement circuit in the blood pressure parameter measurement circuit, etc., each parameter measurement circuit is respectively connected to the externally inserted sensor accessory 111 through a corresponding sensor interface.
  • the sensor accessory 111 includes detection accessories corresponding to the detection of physiological parameters such as blood oxygen, blood pressure, and body temperature.
  • the parameter measurement circuit 112 is mainly used to connect the sensor attachment 111 to obtain the collected physiological parameter signals, and may include at least two or more physiological parameter measurement circuits.
  • the parameter measurement circuit may be, but is not limited to, a physiological parameter measurement circuit (module).
  • Physiological parameter measurement circuit (module) or sensor collects human physiological parameters, etc.
  • the parameter measurement circuit obtains the external physiological parameter sensor attachment to obtain the physiological sampling signal of the patient through the extended interface, and obtains the physiological data after processing for alarm and display.
  • the extended interface can also be used to output the control signal on how to collect the physiological parameters output by the main control circuit to the external physiological parameter monitoring accessory through the corresponding interface to realize the monitoring and control of the patient's physiological parameters.
  • the parameter measurement circuit 112 may be a circuit for processing sensor signals; the sensor accessories 111 are sensor accessories including the aforementioned sensor 210, the first sensor 211, and at least one second sensor 212.
  • the sensor accessory 111 is an external sensor accessory that can be inserted through a sensor interface.
  • the multi-parameter monitor or module component may also include a main control circuit 113.
  • the main control circuit 113 needs to include at least one processor 1131 and at least one memory 1132.
  • the main control circuit may also include a power management module 1133, a power IP module, and an interface. At least one of the conversion circuit, etc.
  • the processor 1131 may be the aforementioned processor 220, and the memory 1132 may be the aforementioned processor 270.
  • the power management module 1133 is used to control the power on and off of the whole machine, the power-on sequence of each power domain inside the board, and battery charging and discharging.
  • the power IP module refers to associating the schematic diagram of the power circuit unit that is frequently called repeatedly with the PCB layout, and solidifying it into a separate power module, that is, converting an input voltage into an output voltage through a predetermined circuit, where the input voltage and The output voltage is different. For example, the voltage of 15V is converted to 1.8V, 3.3V or 3.8V. It is understandable that the power IP module can be single-channel or multi-channel. When the power IP module is a single channel, the power IP module can convert an input voltage into an output voltage.
  • the power IP module can convert one input voltage into multiple output voltages, and the voltage values of the multiple output voltages can be the same or different, so as to meet the differences of multiple electronic components at the same time Voltage demand, and the module has few external interfaces, it works in the system as a black box decoupling from the external hardware system, which improves the reliability of the entire power supply system.
  • the interface conversion circuit is used to convert the signal output by the main control minimum system module (that is, at least one processor and at least one memory in the main control circuit) into an input standard signal required by the actual external device, for example, to support an external VGA display
  • the function is to convert the RGB digital signal output by the main control CPU into a VGA analog signal, support the external network function, and convert the RMII signal into a standard network differential signal.
  • the multi-parameter monitor or module assembly may also include one or more of the local display 114, the alarm circuit 116, the input interface circuit 117, and the external communication and power interface 115.
  • the main control circuit is used to coordinate and control the boards, circuits and devices in the multi-parameter monitor or module assembly.
  • the main control circuit is used to control the data interaction between the parameter measurement circuit 112 and the communication interface circuit, as well as the transmission of control signals, and transmit the physiological data to the display 114 for display, or it can receive data from the touch screen or
  • the user control instructions input by physical input interface circuits such as keyboards and keys can also output control signals on how to collect physiological parameters.
  • the alarm circuit 116 may be an acousto-optic alarm circuit and a vibration alarm circuit, and may include the aforementioned indicator light 250, speaker 250, and vibrator 270.
  • the main control circuit completes the calculation of physiological parameters, and can send the calculation results and waveforms of the parameters to the host (such as a host with a display, PC, central station, etc.) through the external communication and power interface 115, and the external communication and power interface 115 It can be one or a combination of Ethernet, Token Ring, Token Bus, and the fiber distribution data interface (FDDI) of the backbone network of these three networks.
  • FDDI fiber distribution data interface
  • the host can be any computer equipment such as the host of the monitor, an electrocardiograph, an ultrasonic diagnostic apparatus, a computer, etc., and a monitoring device can be formed by installing matching software.
  • the host can also be a communication device, such as a mobile phone, a multi-parameter monitor, or a module component that sends data to a mobile phone that supports Bluetooth communication through a Bluetooth interface to realize remote data transmission.
  • the local display 114 is the display 240
  • the input interface circuit 117 can be a touch panel integrated with the display 240 to form a touch display.
  • the external communication and power interface 115 can be the aforementioned Communication unit 280.
  • the local display 114 is the display screen 240
  • the input interface circuit 117 can be a touch panel integrated with the display screen 240
  • the external communication and power interface 115 can be the aforementioned communication unit 280.
  • the multi-parameter monitoring module component can be set outside the monitor shell, as an independent external plug-in parameter module, which can be inserted into the host (including the main control board) of the monitor to form a plug-in monitor as a part of the monitor, or also It can be connected to the monitor's host (including the main control board) through a cable, and the external parameter module is used as an external accessory of the monitor.
  • the parameter processing can also be built in the shell, integrated with the main control module, or physically separated and set in the shell to form an integrated monitor.
  • the memory 230 may include a high-speed random access memory, and may also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), and a secure digital (Secure Digital, SD) card, flash card, multiple disk storage devices, flash memory devices, or other volatile solid-state storage devices.
  • a non-volatile memory such as a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), and a secure digital (Secure Digital, SD) card, flash card, multiple disk storage devices, flash memory devices, or other volatile solid-state storage devices.
  • the processor 220 is a central processing unit (Central Processing Unit, CPU), and may also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), on-site Field-Programmable Gate Array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc.
  • the general-purpose processor may be a microprocessor or the processor may also be any conventional processor or the like.
  • the principles herein can be reflected in a computer program product on a computer-readable storage medium, which is pre-installed with computer-readable program code.
  • a computer-readable storage medium Any tangible, non-transitory computer-readable storage medium can be used, including magnetic storage devices (hard disks, floppy disks, etc.), optical storage devices (CD-ROM, DVD, Blu Ray disks, etc.), flash memory and/or the like .
  • These computer program instructions can be loaded on a general-purpose computer, a special-purpose computer, or other programmable data processing equipment to form a machine, so that these instructions executed on the computer or other programmable data processing device can generate a device that realizes the specified function.
  • Computer program instructions can also be stored in a computer-readable memory, which can instruct a computer or other programmable data processing equipment to operate in a specific manner, so that the instructions stored in the computer-readable memory can form a piece of Manufactured products, including realization devices that realize specified functions.
  • Computer program instructions can also be loaded on a computer or other programmable data processing equipment, thereby executing a series of operation steps on the computer or other programmable equipment to produce a computer-implemented process, so that the execution on the computer or other programmable equipment Instructions can provide steps for implementing specified functions.
  • Coupled refers to physical connection, electrical connection, magnetic connection, optical connection, communication connection, functional connection and/or any other connection.

Abstract

Disclosed is a method for analyzing regularity evaluation information. The method comprises: acquiring, by means of a sensor, a periodic physiological signal of a measurement object, wherein the sensor is a non-cardiographic sensor; extracting, from the periodic physiological signal, a pulse wave signal related to the measurement object; acquiring, according to the pulse wave signal, a characteristic value representing the fluctuation rhythm of the pulse wave; and analyzing the characteristic value to obtain regularity evaluation information. Further provided in the present application are a monitoring device and a monitoring system. In the present application, a monitoring device can be used to accurately determine the regularity of the heart rhythm by means of non-ECG technology.

Description

规则性评价信息的分析方法、监护设备及监护***Analysis method, monitoring equipment and monitoring system of regular evaluation information 技术领域Technical field
本申请涉及医疗器械领域，特别涉及一种规则性评价信息的评价方法、监护设备及监护***。This application relates to the field of medical devices, in particular to an evaluation method, monitoring equipment and monitoring system for regular evaluation information.
背景技术Background technique
目前，心脏节律性的监测一般都是通过ECG(Electrocardiograph，心电图)技术来识别心脏的不规则节律。然而，由于目前的查房监护设备或者部门科室的监护设备大都不配备ECG技术，因此医护人员仅能够通过传统搭脉搏方式来判断病人的心脏节律是否规则。然而，该过程全靠个人技术能力来控制的搭脉位置、搭脉时间以及得出筛查结果，准确性难以保证。或者，对于一些配备了ECG技术的监护仪来说，由于ECG方式需要较多的心电电极片且需要贴在人体的特定部位，过程又较为繁琐，极大地影响了监测效率。At present, the monitoring of cardiac rhythm is generally through ECG (Electrocardiograph, electrocardiogram) technology to identify the irregular rhythm of the heart. However, since most of the current monitoring equipment for ward rounds or monitoring equipment in departments are not equipped with ECG technology, medical staff can only judge whether the patient's heart rhythm is regular through the traditional pulse-beating method. However, it is difficult to guarantee the accuracy of this process, which depends on individual technical ability to control the pulse location, pulse time and screening results. Or, for some monitors equipped with ECG technology, since the ECG method requires more ECG electrode pads and needs to be attached to specific parts of the human body, the process is more complicated, which greatly affects the monitoring efficiency.
发明内容Summary of the invention
本申请提供一种规则性评价信息的分析方法、监护设备及监护***，可通过非ECG技术来实现监护设备对心脏节律的规则性的准确监测。This application provides an analysis method, monitoring equipment, and monitoring system for regularity evaluation information, which can realize the accurate monitoring of the regularity of the heart rhythm by the monitoring equipment through non-ECG technology.
本申请实施例提供一种规则性评价信息的分析方法，所述方法包括：通过传感器获取测量对象的周期性生理信号，其中，所述传感器为非心电传感器；从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号；根据所述脉搏波信号，分析得到规则性评价信息。An embodiment of the present application provides a method for analyzing regularity evaluation information. The method includes: acquiring a periodic physiological signal of a measurement object through a sensor, wherein the sensor is a non-cardiac sensor; and from the periodic physiological signal The pulse wave signal related to the measurement object is extracted; according to the pulse wave signal, regularity evaluation information is obtained by analysis.
本申请实施例还提供一种规则性评价信息的分析方法，所述方法包括：通过第一传感器获取测量对象的周期性生理信号，其中，所述第一传感器为非心电传感器；通过至少一个第二传感器获取人体的其他生理体征信号；从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号；根据所述脉搏波信号以及所述其他生理体征信号得到规则性评价信息。An embodiment of the present application also provides a method for analyzing regularity evaluation information. The method includes: acquiring periodic physiological signals of a measurement object through a first sensor, wherein the first sensor is a non-cardiograph sensor; The second sensor acquires signals of other physiological signs of the human body; extracts pulse wave signals related to the measurement object from the periodic physiological signals; and obtains regularity evaluation information according to the pulse wave signals and the other physiological signs.
本申请实施例还提供一种监护设备，所述监护设备包括传感器以及处理器。所述传感器用于获取测量对象的周期性生理信号。所述处理器用于从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号，根据所述脉搏波信号分析得到规则性评价信息；其中，所述传感器为非心电传感器。An embodiment of the present application also provides a monitoring device, which includes a sensor and a processor. The sensor is used to obtain periodic physiological signals of the measuring object. The processor is configured to extract a pulse wave signal related to the measurement object from the periodic physiological signal, and obtain regularity evaluation information according to the analysis of the pulse wave signal; wherein the sensor is a non-cardiac sensor.
本申请实施例还提供一种监护设备，所述监护设备包括第一传感器、至少一个第二传感器以及处理器。所述第一传感器用于获取测量对象的周期性生理信号，其中，所述第一传感器为非心电传感器；所述至少一个第二传感器用于获取人体的其他生理体征信号。所述处理器用于从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号；根据所述脉搏波信号以及所述其他生理体征信号得到规则性评价信息。An embodiment of the application also provides a monitoring device, which includes a first sensor, at least one second sensor, and a processor. The first sensor is used to obtain periodic physiological signals of the measurement object, wherein the first sensor is a non-cardiograph sensor; the at least one second sensor is used to obtain signals of other physiological signs of the human body. The processor is configured to extract a pulse wave signal related to the measurement object from the periodic physiological signal; obtain regularity evaluation information according to the pulse wave signal and the other physiological sign signals.
本申请实施例还提供一种监护***，所述监护***包括一种监护设备，所述监护设备包括传感器以及处理器；所述传感器用于获取测量对象的周期性生理信号；所述处理器用于从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号，根据所述脉搏波信号分析得到规则性评价信息；其中，所述传感器为非心电传感器。或者，所述监护设备包括第一传感器、至少一个第二传感器以及处理器。所述第一传感器用于获取测量对象的周期性生理信号，其中，所述第一传感器为非心电传感器；所述至少一个第二传感器用于获取人体的其他生理体征信号；所述处理器用于从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号；根据所述脉搏波信号以及所述其他生理体征信号得到规则性评价信息。An embodiment of the present application also provides a monitoring system, the monitoring system includes a monitoring device, the monitoring device includes a sensor and a processor; the sensor is used to obtain the periodic physiological signal of the measurement object; the processor is used to The pulse wave signal related to the measurement object is extracted from the periodic physiological signal, and regularity evaluation information is obtained by analyzing the pulse wave signal; wherein the sensor is a non-cardiograph sensor. Alternatively, the monitoring device includes a first sensor, at least one second sensor, and a processor. The first sensor is used to obtain periodic physiological signals of the measurement object, wherein the first sensor is a non-cardiograph sensor; the at least one second sensor is used to obtain other physiological signs of the human body; the processor is used Extracting the pulse wave signal related to the measurement object from the periodic physiological signal; obtaining regularity evaluation information according to the pulse wave signal and the other physiological sign signals.
本申请实施例还提供一种计算机可读存储介质，所述计算机可读存储介质中存储有程 序指令，所述程序指令用于供计算机调用后执行一种分析方法。所述方法包括：通过传感器获取测量对象的周期性生理信号，其中，所述传感器为非心电传感器；从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号；根据所述脉搏波信号，分析所得到规则性评价信息。或者，所述方法包括：通过第一传感器获取测量对象的周期性生理信号，其中，所述第一传感器为非心电传感器；通过至少一个第二传感器获取人体的其他生理体征信号；从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号；根据所述脉搏波信号以及所述其他生理体征信号得到规则性评价信息。The embodiment of the present application also provides a computer-readable storage medium, in which program instructions are stored, and the program instructions are used to execute an analysis method after being called by a computer. The method includes: acquiring a periodic physiological signal of a measuring object through a sensor, wherein the sensor is a non-electrocardiographic sensor; extracting a pulse wave signal related to the measuring object from the periodic physiological signal; The pulse wave signal is analyzed to obtain the regularity evaluation information. Alternatively, the method includes: acquiring a periodic physiological signal of the measurement object through a first sensor, wherein the first sensor is a non-cardiac sensor; acquiring other physiological signs of the human body through at least one second sensor; The pulse wave signal related to the measurement object is extracted from the periodic physiological signal; the regularity evaluation information is obtained according to the pulse wave signal and the other physiological sign signals.
本申请公开的分析方法、监护设备及监护***，通过传感器获取的周期性生理信号来提取脉搏波信号，并基于脉搏波信号来识别脉搏波的波动节律这一与心脏搏动节律相关联的信息，而得到规则性评价信息，能够利用监护设备通过非ECG技术准确地得出规则性评价信息。The analysis method, monitoring equipment, and monitoring system disclosed in the present application extract pulse wave signals from periodic physiological signals obtained by sensors, and identify the fluctuation rhythm of the pulse wave based on the pulse wave signals, which is information associated with the heart beat rhythm, To obtain the regularity evaluation information, the monitoring equipment can be used to accurately obtain the regularity evaluation information through non-ECG technology.
附图说明Description of the drawings
为了更清楚地说明本申请实施例中的技术方案，下面将对实施例中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。In order to more clearly describe the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative work, other drawings can be obtained based on these drawings.
图1为本申请一实施例中一种院内使用的监护***的示意图。Fig. 1 is a schematic diagram of a monitoring system used in a hospital according to an embodiment of the application.
图2为本申请一实施例中的规则性评价信息的分析方法的流程图。FIG. 2 is a flowchart of a method for analyzing regularity evaluation information in an embodiment of the application.
图3为本申请一实施例中的提示信息的显示示意图。FIG. 3 is a schematic diagram of displaying prompt information in an embodiment of the application.
图4为本申请另一实施例中的提示信息的显示示意图。FIG. 4 is a schematic diagram of displaying prompt information in another embodiment of the application.
图5为本申请再一实施例中的提示信息的显示示意图。FIG. 5 is a schematic diagram of displaying prompt information in still another embodiment of the application.
图6为本申请其他实施例中的提示信息的显示示意图。FIG. 6 is a schematic diagram of displaying prompt information in other embodiments of the application.
图7为本申请其他实施例中的提示信息的显示示意图。FIG. 7 is a schematic diagram of displaying prompt information in other embodiments of the application.
图8为本申请其他实施例中的提示信息的显示示意图。FIG. 8 is a schematic diagram of displaying prompt information in other embodiments of the application.
图9为本申请一实施例中的显示有提示信息的界面示意图。FIG. 9 is a schematic diagram of an interface displaying prompt information in an embodiment of the application.
图10为本申请另一实施例中的显示有提示信息的界面示意图。FIG. 10 is a schematic diagram of an interface displaying prompt information in another embodiment of the application.
图11为图2所示的评价方法中的质量评价过程的流程图。FIG. 11 is a flowchart of the quality evaluation process in the evaluation method shown in FIG. 2.
图12为本申请另一实施例中的规则性评价信息的分析方法的流程图。FIG. 12 is a flowchart of a method for analyzing regularity evaluation information in another embodiment of the application.
图13为图12所示的分析方法的进一步的流程图。FIG. 13 is a further flowchart of the analysis method shown in FIG. 12.
图14为图12所示的分析方法的另一进一步的流程图。FIG. 14 is another further flowchart of the analysis method shown in FIG. 12.
图15为图12所示的评价方法中的滤波器选择过程的流程图。Fig. 15 is a flowchart of the filter selection process in the evaluation method shown in Fig. 12.
图16为本申请一实施例中的监护设备的模块架构图。Fig. 16 is a block diagram of a monitoring device in an embodiment of the application.
图17为本申请另一实施例中的监护设备的模块架构图。FIG. 17 is a block diagram of a monitoring device in another embodiment of the application.
图18为本申请一实施例中的一种多参数监护仪或模块组件的***框架图。FIG. 18 is a system framework diagram of a multi-parameter monitor or module assembly in an embodiment of the application.
具体实施方式Detailed ways
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of this application.
本文参照了各种示范实施例进行说明。然而，本领域的技术人员将认识到，在不脱离本文范围的情况下，可以对示范性实施例做出改变和修正。例如，各种操作步骤以及用于执行操作步骤的组件，可以根据特定的应用或考虑与***的操作相关联的任何数量的成本函数以不同的方式实现(例如一个或多个步骤可以被删除、修改或结合到其他步骤中)。This document is described with reference to various exemplary embodiments. However, those skilled in the art will recognize that changes and modifications can be made to the exemplary embodiments without departing from the scope of this document. For example, various operation steps and components used to perform the operation steps can be implemented in different ways according to a specific application or considering any number of cost functions associated with the operation of the system (for example, one or more steps can be deleted, Modify or incorporate into other steps).
本申请的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别不同 的对象，而不是用于描述特定顺序。此外，术语“包括”和“具有”以及它们任何变形，意图在于覆盖不排他的包含。例如包含了一系列步骤或单元的过程、方法、***、产品或设备没有限定于已列出的步骤或单元，而是可选地还包括没有列出的步骤或单元，或可选地还包括对于这些过程、方法或设备固有的其他步骤或单元。The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific sequence. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes unlisted steps or units, or optionally also includes Other steps or units inherent in these processes, methods or equipment.
请参阅图1，为一种院内使用的监护***100的示意图，利用监护***100可以将穿戴式监护仪或床边监护仪等监测的数据进行整体保存，集中管理病人信息和看护信息，两者进行关联存储，便于进行历史数据的保存和关联报警。在图1所示的监护***100中，监护***100包括至少一个监护设备200以及至少一个监护管理设备300。至少一个监护设备200可包括移动监护设备以及床边监护设备中的一种，用于直接对病人等测量对象进行监测。所述至少一个监护管理设备300包括科室级工作站设备和院级数据中心/院级急救中心管理设备中的至少一种。Please refer to FIG. 1, which is a schematic diagram of a monitoring system 100 used in a hospital. The monitoring system 100 can store the data monitored by wearable monitors or bedside monitors as a whole, and centrally manage patient information and nursing information, both The associated storage is convenient for the preservation of historical data and associated alarms. In the monitoring system 100 shown in FIG. 1, the monitoring system 100 includes at least one monitoring device 200 and at least one monitoring management device 300. The at least one monitoring device 200 may include one of a mobile monitoring device and a bedside monitoring device, which is used to directly monitor measurement objects such as patients. The at least one monitoring management device 300 includes at least one of department-level workstation equipment and hospital-level data center/hospital-level emergency center management equipment.
如图1所示，至少一个监护设备200可包括移动监护设备201以及床边监护设备202。便携式监测设备200为可穿戴式监测装置。As shown in FIG. 1, the at least one monitoring device 200 may include a mobile monitoring device 201 and a bedside monitoring device 202. The portable monitoring device 200 is a wearable monitoring device.
其中，针对每个病床均可以提供一个床边监护设备202，该床边监护设备202可以是多参数监护仪或者插件式监护仪。另外，每个床边监护设备202还可以与一个移动监护设备201进行配对传输，移动监护设备201提供简便、可携带的多参数监护仪或模块组件，可是穿戴在病人身体上对应病人进行移动式监护，通过移动监护设备201与床边监护设备202进行有线或无线通讯后可以将移动式监护产生的病人状态数据传输到床边监护设备202上进行显示。如图1所示，监护管理设备300可包括科室级工作站设备301及院级数据中心/院级急救中心管理设备302，移动监护设备201通过移动式监护产生的病人状态数据传输至科室级工作站设备301供医生或护士查看，或通过床边监护设备202传输到院级数据中心/院级急救中心管理设备302进行存储和/或显示。Among them, a bedside monitoring device 202 may be provided for each hospital bed, and the bedside monitoring device 202 may be a multi-parameter monitor or a plug-in monitor. In addition, each bedside monitoring device 202 can also be paired and transmitted with a mobile monitoring device 201. The mobile monitoring device 201 provides a simple and portable multi-parameter monitor or module component, which can be worn on the patient's body and corresponding to the patient's mobile For monitoring, after wired or wireless communication between the mobile monitoring device 201 and the bedside monitoring device 202, the patient status data generated by the mobile monitoring can be transmitted to the bedside monitoring device 202 for display. As shown in Figure 1, the monitoring management equipment 300 may include department-level workstation equipment 301 and hospital-level data center/hospital-level emergency center management equipment 302. The mobile monitoring equipment 201 transmits patient status data generated by mobile monitoring to the department-level workstation equipment 301 is for viewing by doctors or nurses, or transmitted to hospital-level data center/hospital-level emergency center management equipment 302 through the bedside monitoring device 202 for storage and/or display.
另外，移动监护设备201还可以直接通过设置在院内的无线网络节点N1将移动式监护产生的病人状态数据传输到科室级工作站设备301进行存储和显示，或者通过设置在院内的无线网络节点N1将移动式监护产生的病人状态数据传输到院级数据中心/院级急救中心管理设备302进行存储。其中，床边监护设备202上显示的病人状态参数对应的数据可以是源自直接连接到床边监护设备202上的传感器附件，或者源自移动监护设备201，或者源自科室级工作站设备301、院级数据中心/院级急救中心管理设备302。In addition, the mobile monitoring device 201 can also directly transmit the patient status data generated by mobile monitoring to the department-level workstation device 301 for storage and display through the wireless network node N1 set in the hospital, or transfer the patient status data generated by the mobile monitoring device 301 through the wireless network node N1 set in the hospital. The patient status data generated by the mobile monitoring is transmitted to the hospital-level data center/hospital-level emergency center management equipment 302 for storage. Among them, the data corresponding to the patient status parameters displayed on the bedside monitoring device 202 can be derived from a sensor accessory directly connected to the bedside monitoring device 202, or from the mobile monitoring device 201, or from the department-level workstation device 301, Hospital-level data center/hospital-level emergency center management equipment 302.
其中，每个移动监护设备201也可存储自己采集到的病人状态数据，床边监护设备202也可存储连接到床边监护仪上的传感器附件采集的病人状态数据，以及存储从移动监护设备201、科室级工作站设备301、院级数据中心/院级急救中心管理设备302等接收的病人状态数据。科室级工作站设备301、院级数据中心/院级急救中心管理设备302则可存储任何移动监护设备201发送过来的病人状态数据。Among them, each mobile monitoring device 201 can also store the patient status data collected by itself, and the bedside monitoring device 202 can also store the patient status data collected by the sensor accessory connected to the bedside monitor, and store the data from the mobile monitoring device 201. , Patient status data received by department-level workstation equipment 301, hospital-level data center/hospital-level emergency center management equipment 302, etc. Department-level workstation equipment 301 and hospital-level data center/hospital-level emergency center management equipment 302 can store patient status data sent by any mobile monitoring device 201.
请参阅图2，为本申请一实施例中的规则性评价信息的分析方法的流程图。Please refer to FIG. 2, which is a flowchart of a method for analyzing regularity evaluation information in an embodiment of this application.
本申请的分析方法可以应用于例如上述监护***100或监护设备200中。其中，在本实施例中，所述监护设备200配备有传感器。如图2所示，所述规则性评价信息的分析方法包括如下步骤：The analysis method of the present application can be applied to, for example, the monitoring system 100 or the monitoring device 200 described above. Wherein, in this embodiment, the monitoring device 200 is equipped with a sensor. As shown in Figure 2, the method for analyzing regularity evaluation information includes the following steps:
通过传感器获取测量对象的周期性生理信号，其中，所述传感器为非心电传感器(S21)。The periodic physiological signal of the measurement object is acquired by a sensor, wherein the sensor is a non-cardiograph sensor (S21).
从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号(S22)。在一些实施例中，所述步骤S22包括：对所述周期性生理信号进行滤波处理、放大处理、A/D转换(数模转换)处理而提取得到脉搏波信号。所述脉搏波信号包含至少一个单个脉搏波波形。A pulse wave signal related to the measurement object is extracted from the periodic physiological signal (S22). In some embodiments, the step S22 includes: filtering, amplifying, and A/D conversion (digital-to-analog conversion) processing on the periodic physiological signal to extract the pulse wave signal. The pulse wave signal contains at least one single pulse wave waveform.
根据所述脉搏波信号，分析得到规则性评价信息(S23)。According to the pulse wave signal, the regularity evaluation information is obtained by analysis (S23).
目前的ECG技术，通过心电传感器采集人体体表实时变动的电位差，并用心电图以导联波形的形式记录下来，心电图上反映的心脏的电活动，能够协助医生诊断出心脏对应位 置的病变。而在本申请中所采用的“非心电传感器”，同样能够连接至人体来采集并传递用于协助心脏诊断的生理信号，其与传统技术中采集人体体表电位差来诊断心脏的“心电传感器的”最大区别是，“非心电传感器”不采集人体体表实时变动的电位差。The current ECG technology collects real-time changes in the potential difference of the human body surface through an electrocardiogram sensor, and records it in the form of lead waveforms with an electrocardiogram. The electrical activity of the heart reflected on the electrocardiogram can assist doctors in diagnosing lesions in the corresponding position of the heart. The “non-cardiac sensor” used in this application can also be connected to the human body to collect and transmit physiological signals used to assist in the diagnosis of the heart. The biggest difference of "electric sensors" is that "non-cardioelectric sensors" do not collect the potential difference of the human body surface in real time.
因此在本申请中，将这类传感器称作“非心电传感器”。例如，在一些实施例中，非心电传感器可以将不同波长的光辐射到受测者相应部位的组织区域中，检测通过所述组织区域发送的光信号，从所述光信号中提取所述组织区域的光吸收产生的光电容积脉搏波信号，利用所述光电容积脉搏波信号获得脉搏波信号。又例如，在一些实施例中，非心电传感器可以通过将袖带设置在身体的规定部位，控制袖带充气到一定的压力，使袖带压迫动脉，然后逐渐放气，在放气过程或充气的过程中，采样袖带内的压力，检测出该压力下的脉搏波，获得脉搏波信号。Therefore, in this application, this type of sensor is referred to as a "non-cardiac sensor". For example, in some embodiments, the non-cardiac sensor can radiate light of different wavelengths into the tissue area of the corresponding part of the subject, detect the light signal sent through the tissue area, and extract the light signal from the light signal. The photoplethysmography signal generated by the light absorption of the tissue area is used to obtain the pulse wave signal. For another example, in some embodiments, the non-ECG sensor can control the cuff to be inflated to a certain pressure by setting the cuff on a specified part of the body, so that the cuff compresses the artery, and then gradually deflates. In the deflation process or During the inflation process, the pressure in the cuff is sampled, the pulse wave under this pressure is detected, and the pulse wave signal is obtained.
从而，本申请中，通过传感器获取的周期性生理信号来提取脉搏波信号，并基于脉搏波信号来识别脉搏波的波动节律这一与心脏搏动节律相关联的信息，而得到规则性评价信息，能够使用“非心电传感器”，而不通过ECG技术，就能准确地得出规则性评价信息。Therefore, in this application, the pulse wave signal is extracted from the periodic physiological signal obtained by the sensor, and the fluctuation rhythm of the pulse wave is identified based on the pulse wave signal, which is related to the heart beat rhythm, to obtain regularity evaluation information, The ability to use "non-ECG sensors" instead of ECG technology can accurately obtain regularity evaluation information.
在本申请实施例中，根据上述提取的脉搏波信号来对脉搏波是否规则做出筛查，获得一段时间内对应的脉搏脉相关信息和/或规则性评价信息，该段时间内对应的脉搏波相关信息和/或规则性评价信息至少包含发生不规则脉搏波时对应的脉搏波相关信息和/或规则性评价信息。在一些实施例中，所述步骤S23“根据所述脉搏波信号，分析得到规则性评价信息”包括：“根据所述脉搏波信号获取表征脉搏波的波动节律的特征值；分析所述特征值得到规则性评价信息”。In the embodiment of the present application, the pulse wave is screened for regularity according to the pulse wave signal extracted above, and the corresponding pulse and pulse related information and/or regularity evaluation information within a period of time are obtained. The wave-related information and/or regularity evaluation information includes at least the corresponding pulse wave-related information and/or regularity evaluation information when an irregular pulse wave occurs. In some embodiments, the step S23 "analyzing and obtaining regularity evaluation information according to the pulse wave signal" includes: "obtaining a characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal; analyzing the characteristic value To regular evaluation information".
在一些实施例中，所述步骤“根据所述脉搏波信号获取表征脉搏波的波动节律的特征值”包括：采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述脉搏波信号进行特征提取而得到相应的至少一个特征值。In some embodiments, the step of "obtaining characteristic values that characterize the fluctuation rhythm of the pulse wave according to the pulse wave signal" includes: adopting at least one analysis technique of time domain technology, frequency domain technology, and nonlinear dynamics technology Perform feature extraction on the pulse wave signal to obtain corresponding at least one feature value.
即，在一些实施例中，可采用一种分析技术或多种分析技术结合对所述脉搏波信号进行特征提取而得到相应的至少一个/类特征值。That is, in some embodiments, one analysis technique or multiple analysis techniques may be used in combination to perform feature extraction on the pulse wave signal to obtain the corresponding at least one/class feature value.
在一些实施例中，所述步骤“根据所述脉搏波信号获取表征脉搏波的波动节律的特征值”包括：采用时域技术对脉搏波信号进行特征提取而得到至少一个时域特征值。In some embodiments, the step of "obtaining a characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal" includes: using a time domain technique to perform feature extraction on the pulse wave signal to obtain at least one time domain characteristic value.
即，在一些实施例中，可仅采用时域技术对脉搏波信号进行特征提取而得到至少一个时域特征值。That is, in some embodiments, only the time domain technique may be used to perform feature extraction on the pulse wave signal to obtain at least one time domain feature value.
其中，所述至少一个时域特征值包括波形形态特征值，波形形态特征值至少包含脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度等其中之一。其中，脉搏间隔是指两个单脉搏之间的时间间隔，可以是波峰与波峰、波谷与波谷之间的时间间隔，或者是两个单脉搏上任意对应点之间的时间间隔。间隔可以是相邻的，也可以是不相邻的。本文中的单脉搏，可以是一个脉搏波，也可以是应用其他形式采集到的单次脉搏。脉搏幅度是指的波峰与波谷之间的差值。脉搏斜率是指脉搏波上升段与下降段的任一处的斜率。脉搏面积是指相邻两个波谷之间或单脉搏的起始到终止之间的的脉搏波在时间上的积分。脉搏包络是指：由波峰与波峰(或波谷与波谷)间相连接所形成的包络。脉搏宽度是指单个脉搏的起始至终止的时间长度。Wherein, the at least one time domain characteristic value includes a waveform shape characteristic value, and the waveform shape characteristic value includes at least one of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, pulse width, etc. The pulse interval refers to the time interval between two single pulses, which can be the time interval between the peak and the peak, the valley and the valley, or the time interval between any corresponding points on two single pulses. The interval can be adjacent or non-adjacent. The single pulse in this article can be a pulse wave or a single pulse collected using other forms. Pulse amplitude refers to the difference between the peak and trough of the wave. The pulse slope refers to the slope of either the rising section or the falling section of the pulse wave. Pulse area refers to the time integral of the pulse wave between two adjacent troughs or between the start to the end of a single pulse. Pulse envelope refers to the envelope formed by the connection between wave crests and crests (or troughs and troughs). Pulse width refers to the length of time from the start to the end of a single pulse.
在一些实施例中，所述步骤“根据所述脉搏波信号获取表征脉搏波的波动节律的特征值”还可包括：采用频域技术将脉搏波信号转换为频域信号，然后对频域信号进行特征提取而得到至少一个频域特征值。In some embodiments, the step of "obtaining characteristic values that characterize the fluctuation rhythm of the pulse wave according to the pulse wave signal" may further include: using frequency domain technology to convert the pulse wave signal into a frequency domain signal, and then comparing the frequency domain signal Perform feature extraction to obtain at least one frequency domain feature value.
即，在一些实施例中，可仅采用频域技术对脉搏波信号进行特征提取而得到至少一个频域特征值。That is, in some embodiments, only frequency domain technology may be used to perform feature extraction on the pulse wave signal to obtain at least one frequency domain feature value.
在一实施例中，频域特征值包括频谱特征和功率谱特征其中之一。其中，频谱特征可以包括：频谱峰、频谱间隔、频谱幅度、频谱面积、频谱斜率、和频谱包络等中的其中之 一特征信息，频谱峰包括频谱峰幅度，指的是频谱峰的高度；频谱峰包括频谱峰位置，指的是频谱峰对应的频率位置；频谱峰还可以包括频谱峰个数，指的是频谱中的频段内频谱峰的个数。频谱间隔指的是任意两个频率之间的间隔，频谱幅度指的是频谱中每个频率对应的幅度，频谱面积指的是频谱在频段内的积分，频谱斜率指的是频谱中任一上升段或下降段的斜率，频谱包络指的是频谱峰之间相连形成的包络。功率谱特征可以包括：功率谱峰、功率谱间隔、功率谱幅度、功率谱面积、功率谱斜率、功率谱包络等中的其中之一特征信息，功率谱峰包括功率谱峰幅度，指的是功率谱峰的高度；功率谱峰包括功率谱峰位置，指的是功率谱峰对应的频率位置；功率谱峰还可以包括功率谱峰个数，指的是功率谱中的频段内功率谱峰的个数。功率谱间隔指的是任意两个频率之间的间隔，功率谱幅度指的是功率谱中每个频率对应的幅度，功率谱面积指的是功率谱在频段内的积分，功率谱斜率指的是功率谱中任一上升段或下降段的斜率，功率谱包络指的是功率谱峰之间相连形成的包络。In an embodiment, the frequency domain feature value includes one of a spectrum feature and a power spectrum feature. Wherein, the spectrum feature may include: one of the characteristic information of spectrum peak, spectrum interval, spectrum amplitude, spectrum area, spectrum slope, and spectrum envelope, etc. The spectrum peak includes the spectrum peak amplitude, which refers to the height of the spectrum peak; The spectral peak includes the position of the spectral peak, which refers to the frequency position corresponding to the spectral peak; the spectral peak may also include the number of spectral peaks, which refers to the number of spectral peaks in the frequency band in the frequency spectrum. The spectrum interval refers to the interval between any two frequencies, the spectrum amplitude refers to the amplitude corresponding to each frequency in the spectrum, the spectrum area refers to the integral of the spectrum in the frequency band, and the spectrum slope refers to any rise in the spectrum The slope of the segment or the falling segment, and the spectrum envelope refers to the envelope formed by the connection between the spectrum peaks. The power spectrum feature may include: power spectrum peak, power spectrum interval, power spectrum amplitude, power spectrum area, power spectrum slope, power spectrum envelope, etc., and power spectrum peak includes power spectrum peak amplitude, which refers to Is the height of the power spectrum peak; the power spectrum peak includes the power spectrum peak position, which refers to the frequency position corresponding to the power spectrum peak; the power spectrum peak can also include the number of power spectrum peaks, which refers to the power spectrum in the frequency band in the power spectrum The number of peaks. The power spectrum interval refers to the interval between any two frequencies, the power spectrum amplitude refers to the amplitude corresponding to each frequency in the power spectrum, the power spectrum area refers to the integral of the power spectrum in the frequency band, and the power spectrum slope refers to It is the slope of any rising or falling section in the power spectrum, and the power spectrum envelope refers to the envelope formed by connecting power spectrum peaks.
在另一些实施例中，所述步骤“根据所述脉搏波信号获取表征脉搏波的波动节律的特征值”还可包括：采用非线性动力学技术对脉搏波信号进行特征提取而得到至少一个非线性动力学特征值。In other embodiments, the step of "obtaining characteristic values that characterize the fluctuation rhythm of the pulse wave according to the pulse wave signal" may further include: using nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least one non- Characteristic values of linear dynamics.
即，在一些实施例中，可仅采用非线性动力学技术对脉搏波信号进行特征提取而得到至少一个非线性动力学特征值。That is, in some embodiments, only the nonlinear dynamics technology may be used to perform feature extraction on the pulse wave signal to obtain at least one nonlinear dynamics feature value.
更进一步地，还可以将对应的非线性动力学特征值计算结果与对应的预设阈值进行比较而得到脉搏波相关信息和/或规则性评价信息。例如，将非线性动力学特征值的计算结果与对应的预设阈值进行比较，从而识别不规则的脉搏波信号，提取一段时间内不规则的脉搏波信号，基于一段时间内不规则的脉搏波信号，输出不规则脉搏波信号所对应的脉搏波相关信息和/或规则性评价息。Furthermore, it is also possible to compare the corresponding non-linear dynamic characteristic value calculation result with the corresponding preset threshold to obtain pulse wave related information and/or regularity evaluation information. For example, the calculation result of the nonlinear dynamic characteristic value is compared with the corresponding preset threshold, so as to identify the irregular pulse wave signal, extract the irregular pulse wave signal in a period of time, based on the irregular pulse wave signal in a period of time Signal, output pulse wave related information and/or regularity evaluation information corresponding to the irregular pulse wave signal.
在一些实施例中，当利用非线性动力学特征值分析确认脉搏波为不规则时，可以再利用时域分析、频域分析、机器学习等分析方法来确定脉搏波波形相关信息，例如脉搏间隔，进行输出显示。在一些实施例中，用户可基于输出显示的脉搏波波形相关信息，进一步判断规则性评价信息。In some embodiments, when the non-linear dynamic characteristic value analysis is used to confirm that the pulse wave is irregular, analysis methods such as time domain analysis, frequency domain analysis, and machine learning can be used to determine pulse wave waveform related information, such as pulse interval. To display the output. In some embodiments, the user can further determine the regularity evaluation information based on the pulse wave waveform related information displayed by the output.
其中，所述非线性动力学特征值包括熵值或复杂度。Wherein, the nonlinear dynamics characteristic value includes entropy or complexity.
所述熵值包括但不限于信息熵、谱熵、近似熵、样本熵、模糊熵等熵值特征。The entropy includes, but is not limited to, information entropy, spectral entropy, approximate entropy, sample entropy, fuzzy entropy and other entropy features.
在一些实施例中，在步骤“根据所述脉搏波信号获取表征脉搏波的波动节律的特征值”之后，所述方法还包括：将提取出的特征值转换为中间特征值；所述步骤“分析所述特征值得到规则性评价信息”，可包括：基于所述中间特征值进行分析得到规则性评价信息。In some embodiments, after the step of "obtaining the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal", the method further includes: converting the extracted characteristic value into an intermediate characteristic value; the step " Analyzing the characteristic value to obtain regularity evaluation information" may include: analyzing the intermediate characteristic value to obtain regularity evaluation information.
所述中间特征值包括脉率值，所述将提取出的特征值转换为中间特征值，包括：将提取出的特征值转换为脉率值。The intermediate characteristic value includes a pulse rate value, and the converting the extracted characteristic value into an intermediate characteristic value includes: converting the extracted characteristic value into a pulse rate value.
所述基于所述中间特征值进行分析得到规则性评价信息，包括：基于所述脉率值进行分析得到规则性评价信息。The analyzing based on the intermediate characteristic value to obtain regularity evaluation information includes: performing analysis based on the pulse rate value to obtain regularity evaluation information.
在一些实施例中，所述基于所述脉率值进行分析得到规则性评价信息，包括：获取脉率间差值，当满足连续若干个相邻脉率间的差值均超过阈值，或在N个相邻脉率间差值中至少满足n个超过阈值，或存在一个脉率超过或小于脉率平均值的多少(阈值)，或脉率的标准差除以脉率的平均值超过阈值时，判断疑似不规则。In some embodiments, the analysis based on the pulse rate value to obtain the regularity evaluation information includes: obtaining the difference between pulse rates, when it is satisfied that the difference between several consecutive adjacent pulse rates exceeds the threshold, or Among N adjacent pulse rate differences, at least n exceed the threshold, or there is a pulse rate that exceeds or is less than the average pulse rate (threshold), or the standard deviation of the pulse rate divided by the average pulse rate exceeds the threshold When it is judged to be irregular.
在一些实施例中，所述中间特征值包括脉搏音特征值，所述将提取出的特征值转换为中间特征值，包括：将提取出的特征值转换为脉搏音特征值。所述基于所述中间特征值进行分析得到规则性评价信息，包括：基于所述脉搏音特征值进行分析得到规则性评价信息。In some embodiments, the intermediate characteristic value includes a pulse sound characteristic value, and converting the extracted characteristic value into an intermediate characteristic value includes: converting the extracted characteristic value into a pulse sound characteristic value. The analyzing based on the intermediate characteristic value to obtain the regularity evaluation information includes: analyzing based on the pulse sound characteristic value to obtain the regularity evaluation information.
在一些实施例中，所述基于所述脉搏音特征值进行分析得到规则性评价信息，包括：获取脉搏音间隔，当满足连续若干个相邻间隔的差值均超过阈值，或在N个相邻间隔差值 中至少满足n个差值超过阈值，或存在一个间隔超过或小于间隔平均值的多少(阈值)，或间隔的标准差除以间隔的平均值超过阈值时，判断疑似不规则。In some embodiments, the analysis based on the pulse sound characteristic value to obtain the regularity evaluation information includes: obtaining the pulse sound interval, and when the difference between several consecutive adjacent intervals exceeds a threshold, or in N phases When the difference between adjacent intervals meets at least n differences exceeding the threshold, or there is an interval exceeding or smaller than the interval average value (threshold), or the interval standard deviation divided by the interval average exceeding the threshold, it is judged that it is suspected to be irregular.
进一步的，所述将提取出的特征值转换为脉搏音特征值，包括：根据提取出的特征值确定脉搏的波峰或波谷的到达时刻，在波峰或波谷的到达时刻进行波峰或波谷标记；根据波峰或波谷标记生成脉搏音特征值。Further, said converting the extracted characteristic value into a pulse sound characteristic value includes: determining the arrival time of the peak or trough of the pulse according to the extracted characteristic value, and marking the peak or trough at the arrival time of the peak or trough; The peak or trough mark generates pulse sound characteristic values.
在一些实施例中，所述基于所述脉搏音特征值进行分析得到规则性评价信息，可进一步包括：对一时间段内或若干个周期的脉搏波信号的波峰或波谷进行标记而得到至少两个波峰标记或波谷标记，得到由至少两个波峰标记或至少两个波谷标记生成的至少两个脉搏音特征值；通过统计学分析和/或机器学习方式对所述至少两个脉搏音特征值进行分析，而得到所述规则性评价信息。In some embodiments, the analysis based on the characteristic value of the pulse sound to obtain the regularity evaluation information may further include: marking the peaks or troughs of the pulse wave signal within a period of time or several cycles to obtain at least two To obtain at least two pulse sound feature values generated by at least two wave crest marks or at least two trough marks; statistical analysis and/or machine learning methods are used to compare the at least two pulse sound feature values Perform analysis to obtain the regularity evaluation information.
即，可根据至少两个波峰标记生成至少两个脉搏音特征值，或者根据至少两个波谷标记生成至少两个脉搏音特征值。可以理解地，脉搏音特征值还可以为按照预设规则选定在波峰波谷之间的某一个值，只要其可以表征脉搏间隔即可，在此不做限定。That is, at least two pulse sound feature values can be generated based on at least two wave crest marks, or at least two pulse sound feature values can be generated based on at least two wave trough marks. Understandably, the pulse sound characteristic value may also be a certain value selected between the peaks and troughs according to a preset rule, as long as it can represent the pulse interval, which is not limited here.
具体的，所述通过统计学分析和/或机器学习方式对所述至少两个脉搏音特征值进行分析，而得到所述规则性评价信息，可包括：通过统计学分析方法对所述至少两个脉搏音特征值进行分析，得到统计分析数据，以及根据所述统计分析数据得到所述规则性评价信息；和/或通过机器学习方法，将所述至少两个脉搏音特征值作为输入，而得出所述规则性评价信息这一输出。Specifically, the analyzing the at least two pulse sound characteristic values through statistical analysis and/or machine learning to obtain the regularity evaluation information may include: performing statistical analysis on the at least two pulse sound Analyzing the characteristic values of pulse sounds to obtain statistical analysis data, and obtaining the regularity evaluation information according to the statistical analysis data; and/or using machine learning methods to use the at least two pulse sound characteristic values as inputs, and The output of the regularity evaluation information is obtained.
在一些实施例中，所述采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述脉搏波信号进行特征提取而获取至少一个特征值，也可具体包括：采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述脉搏波信号进行特征提取而获取至少两类特征值，根据两类特征值以及每类特征值的权重值得出最终的特征值。In some embodiments, the use of at least one analysis technology of time domain technology, frequency domain technology, and nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least one feature value may also specifically include: At least one analysis technology of time domain technology, frequency domain technology and nonlinear dynamics technology is used to extract features of the pulse wave signal to obtain at least two types of feature values, according to the two types of feature values and the weight of each type of feature value It is worth the final characteristic value.
例如，采用时域技术对脉搏波信号进行特征提取得出时域特征值以及采用频域技术对同一段脉搏波信号进行特征提取得出频域特征值后，可根据加权计算公式ax+by得出最终特征值。其中x可为时域特征值，y可为频域特征值，a为时域特征值的权重值，b为频域特征值的权重值，从而，通过多种分析技术对同一段脉搏波信号进行分析，综合多种技术得出的多类特征值以及每类特征值的权重值而可得到该段波形最终的特征值，提高了特征值获取的准确性。For example, after using time domain technology to extract the pulse wave signal to obtain the time domain characteristic value and using frequency domain technology to perform the feature extraction of the same segment of the pulse wave signal to obtain the frequency domain characteristic value, it can be obtained according to the weighted calculation formula ax+by The final characteristic value. Where x can be the time domain eigenvalue, y can be the frequency domain eigenvalue, a is the weight value of the time domain eigenvalue, b is the weight value of the frequency domain eigenvalue, thus, the same pulse wave signal can be analyzed by multiple analysis techniques Analyze, integrate the multiple types of feature values obtained by multiple technologies and the weight value of each type of feature value to obtain the final feature value of the waveform, which improves the accuracy of feature value acquisition.
其中，时域特征值的权重值和频域特征值的权重值可为预先设定。Wherein, the weight value of the time domain feature value and the weight value of the frequency domain feature value may be preset.
其中，所述不同的多个特征值包括通过不同的分析技术分析出来的多类特征值(例如时域特征值、频域特征值等)和/或通过相同的分析技术分析出来的多类不同的特征值(例如脉搏间隔、斜率等)。Wherein, the multiple different feature values include multiple types of feature values (such as time domain feature values, frequency domain feature values, etc.) analyzed through different analysis techniques and/or multiple types of different features analyzed through the same analysis technology. Characteristic values (such as pulse interval, slope, etc.).
在一些实施例中，所述步骤“分析所述特征值得到规则性评价信息”，包括：将所述至少一个特征值与对应的至少一个特征值阈值进行比较，并根据比较结果得到规则性评价信息；和/或通过机器学习方法，将所述至少一个特征值作为输入，而得出所述规则性评价信息这一输出。可以理解地，“规则”和“不规则”可以通过多种途径进行标识，而不单单指文字表示，只要其可以用于表示当前规则性评价信息是疑似规则或不规则、规则或不规则即可。换句话说，规则性评价信息是表示出了“疑似规则”、“疑似不规则”、“规则”或“不规则”的结论信息。由于脉搏搏动与心脏节律的同源性，规则性评价信息可以包括脉搏搏动规则性评价信息和心脏节律规则性评价信息的至少之一。本申请的规则性评价信息指的均为：所述规则性评价信息的类型包括用于表示规则或不规则的脉搏搏动和/或心脏节律的评价结果。In some embodiments, the step of "analyzing the characteristic value to obtain regularity evaluation information" includes: comparing the at least one characteristic value with the corresponding at least one characteristic value threshold, and obtaining the regularity evaluation according to the comparison result Information; and/or through a machine learning method, the at least one feature value is used as an input to obtain the output of the regularity evaluation information. Understandably, “rules” and “irregularities” can be identified in a variety of ways, rather than just textual representations, as long as they can be used to indicate that the current regularity evaluation information is suspected to be regular or irregular, regular or irregular. can. In other words, the regularity evaluation information is the conclusion information indicating "suspected rules", "suspected irregularities", "rules" or "irregularities". Due to the homology of pulse and heart rhythm, the regularity evaluation information may include at least one of pulse regularity evaluation information and heart rhythm regularity evaluation information. The regularity evaluation information in the present application refers to: the type of regularity evaluation information includes the evaluation results used to indicate regular or irregular pulse beats and/or heart rhythms.
即，在一些实施例中，可直接根据所述脉搏波信号获取的表征脉搏波的波动节律的特 征值来获取用于表示规则或不规则的规则性评价信息。That is, in some embodiments, the regularity evaluation information used to indicate the rule or irregularity can be obtained directly according to the characteristic value of the pulse wave signal that represents the fluctuation rhythm of the pulse wave.
其中，如前所述，所述特征值可包括脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度中的至少一种，也可包括频谱特征值、功率谱特征值等，也可包括熵值、复杂度等。例如，所述至少一个特征值可为脉搏间隔这一个特征值，预设阈值可为预设脉搏间隔范围，所述“所述至少一个特征值与对应的至少一个特征值阈值进行比较，并根据比较结果得到规则性评价信息”可进一步包括：将脉搏间隔与预设脉搏间隔范围进行比较，当确定脉搏间隔位于预设脉搏间隔范围之外时，得出为“不规则”的规则性评价信息，当确定脉搏间隔位于预设脉搏间隔范围之内时，得出为“规则”的规则性评价信息。Wherein, as mentioned above, the characteristic value may include at least one of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, pulse width, and may also include spectral characteristic values, power spectral characteristic values, etc., It can also include entropy, complexity, etc. For example, the at least one characteristic value may be a characteristic value of pulse interval, and the preset threshold may be a preset pulse interval range, and the "at least one characteristic value may be compared with the corresponding at least one characteristic value threshold, and according to The comparison result to obtain regularity evaluation information" may further include: comparing the pulse interval with a preset pulse interval range, and when it is determined that the pulse interval is outside the preset pulse interval range, the regularity evaluation information is obtained as "irregular" , When it is determined that the pulse interval is within the preset pulse interval range, the regularity evaluation information of "rules" is obtained.
在一些实施例中，所述步骤“根据所述脉搏波信号获取表征脉搏波的波动节律的特征值”还可包括：对一时间段或若干个周期的脉搏波信号进行特征提取而获取至少两个特征值；通过统计学分析方法和/或机器学习方法对所述至少两个特征值进行分析，而得到所述规则性评价信息。In some embodiments, the step of "obtaining characteristic values that characterize the fluctuation rhythm of the pulse wave according to the pulse wave signal" may further include: performing feature extraction on the pulse wave signal of a period of time or several cycles to obtain at least two A feature value; the at least two feature values are analyzed by a statistical analysis method and/or a machine learning method to obtain the regularity evaluation information.
其中，对一时间段或若干个周期的脉搏波信号进行特征提取而获取至少两个特征值也可为：采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对某一时间段或若干个周期的脉搏波信号进行特征提取而获取至少两个特征值。Wherein, performing feature extraction on the pulse wave signal of a period of time or several cycles to obtain at least two feature values may also be: using at least one analysis technique of time domain technology, frequency domain technology and nonlinear dynamics technology to Feature extraction is performed on pulse wave signals of a certain period of time or several cycles to obtain at least two feature values.
其中，所述时间段可为随机选取的时间段，也可以为预设的时间段，所述若干个周期可为随机选取的多个周期，也可为预设个数的周期。Wherein, the time period may be a randomly selected time period or a preset time period, and the several cycles may be multiple randomly selected cycles or a preset number of cycles.
其中，所述“通过统计学分析方法和/或机器学习方法对所述至少两个特征值进行分析，而得到所述规则性评价信息”可包括：通过统计学分析方法对所述至少两个特征值进行分析，得到统计分析数据，以及根据所述统计分析数据得到所述规则性评价信息；和/或通过机器学习方法，将所述至少两个特征值作为输入，而得出所述规则性评价信息这一输出。Wherein, the “analyzing the at least two characteristic values through a statistical analysis method and/or a machine learning method to obtain the regularity evaluation information” may include: analyzing the at least two characteristic values through a statistical analysis method. The characteristic value is analyzed to obtain statistical analysis data, and the regularity evaluation information is obtained according to the statistical analysis data; and/or the at least two characteristic values are used as input through a machine learning method to obtain the rule The output of sexual evaluation information.
其中，所述统计分析数据可为基于前述的特征值得出的最值、加和、比值、积分、差值、均值、标准差、最大间隔期、最小间隔期、脉搏变异度、变异次数、最大脉率值、最小脉率值中的至少一种数据，所述根据所述统计分析数据得到所述规则性评价信息，可包括，将所述最值、加和、比值、积分、差值、均值、标准差、最大间隔期、最小间隔期、脉搏变异度、变异次数、最大脉率值、最小脉率值等统计分析数据与预设的最值、加和、比值、积分、差值、均值、标准差、最大间隔期、最小间隔期、脉搏变异度、变异次数、最大脉率值、最小脉率值等预设统计数据进行比较，而得出为用于表示规则或不规则的所述规则性评价信息。Wherein, the statistical analysis data may be the maximum value, the sum, the ratio, the integral, the difference, the mean, the standard deviation, the maximum interval, the minimum interval, the pulse variability, the number of mutations, and the maximum based on the aforementioned characteristic values. At least one of the pulse rate value and the minimum pulse rate value, said obtaining the regularity evaluation information according to the statistical analysis data may include adding the maximum value, sum, ratio, integral, difference, Statistical analysis data such as mean, standard deviation, maximum interval, minimum interval, pulse variability, number of variations, maximum pulse rate value, minimum pulse rate value and the preset maximum value, sum, ratio, integral, difference, etc. The mean, standard deviation, maximum interval, minimum interval, pulse variability, number of variations, maximum pulse rate, minimum pulse rate and other preset statistical data are compared, and the results are used to express regular or irregular statistics. The regular evaluation information.
所述统计分析数据包括频域统计分析数据、非线性动力学特征统计量、脉搏频率相关量统计量、时域特征值统计分析数据和变异相关量中的至少之一。The statistical analysis data includes at least one of frequency domain statistical analysis data, nonlinear dynamic characteristic statistics, pulse frequency related quantity statistics, time domain characteristic value statistical analysis data, and variation related quantities.
频域统计分析数据至少包括频谱特征统计量和功率谱特征统计量其中之一。其中，频谱特征统计量包括单频谱特征统计量和多频谱特征统计量等中的其中之一特征信息，其中，单频谱特征统计量包括：单频谱内，不同频谱峰幅度、频谱峰位置、频谱间隔、频谱幅度、频谱面积、频谱斜率等这些特征的最值、均值、比值、差值、加和、积分、标准差、分布统计等以及频谱特征统计量的统计分析值，例如频谱间隔差值的平均值、频谱间隔差值的标准差等。多频谱特征统计量包括：一段时间内的不同时段对应频谱间的频谱峰幅度、频谱峰个数、频谱峰位置、频谱间隔、频谱幅度、频谱面积、频谱斜率等这些特征的最值、均值、比值、差值、加和、积分、标准差、分布统计等，以及频谱特征统计量的统计分析值，例如频谱间最大频谱峰位置差值的标准差、频谱间最大频谱峰位置差值超过预定值的个数等。功率谱特征统计量包括单功率谱特征统计量、和多功率谱特征统计量等中的其中之一特征信息，其中，单功率谱特征统计量包括：单功率谱内，不同功率谱峰幅度、功率谱峰位置、功率谱间隔、功率谱幅度、功率谱面积、功率谱斜率等这些特征的最值、均值、比值、差值、加和、积分、标准差、分布统计等以及功率谱特征统计量的统计分析值，例 如功率谱间隔差值的平均值、标准差等。多功率谱特征统计量包括：一段时间内的不同时段对应功率谱间的功率谱峰幅度、功率谱峰个数、功率谱峰位置、功率谱间隔、功率谱幅度、功率谱面积、功率谱斜率等这些特征的最值、均值、比值、差值、加和、积分、标准差、分布统计等，以及功率谱特征统计量的统计分析值，例如功率谱间最大功率谱峰位置差值的标准差、功率谱间最大功率谱峰位置差值超过预定值的个数等。The frequency domain statistical analysis data includes at least one of the spectrum feature statistics and the power spectrum feature statistics. Among them, the spectrum feature statistics include one of the single spectrum feature statistics and the multiple spectrum feature statistics. Among them, the single spectrum feature statistics include: within a single spectrum, different spectrum peak amplitudes, spectrum peak positions, and spectrum The maximum value, mean value, ratio, difference, sum, integral, standard deviation, distribution statistics, etc. of these features such as interval, spectrum amplitude, spectrum area, and spectrum slope, as well as statistical analysis values of spectrum feature statistics, such as spectrum interval difference The average value, the standard deviation of the spectral interval difference, etc. Multi-spectral feature statistics include: the peak amplitude, number of peaks, peak position, spacing, amplitude, area, and slope of these features, such as the maximum value, mean value, Ratio, difference, summation, integral, standard deviation, distribution statistics, etc., as well as statistical analysis values of spectral feature statistics, such as the standard deviation of the maximum spectral peak position difference between spectra, and the maximum spectral peak position difference between spectra exceed a predetermined value The number of values, etc. The power spectrum feature statistics include one of the single power spectrum feature statistics and the multi-power spectrum feature statistics. Among them, the single power spectrum feature statistics include: within a single power spectrum, different power spectrum peak amplitudes, Power spectrum peak position, power spectrum interval, power spectrum amplitude, power spectrum area, power spectrum slope and other characteristics of the maximum value, mean value, ratio, difference, sum, integral, standard deviation, distribution statistics, etc., and power spectrum feature statistics The statistical analysis value of the quantity, such as the average value and standard deviation of the power spectrum interval difference. Multi-power spectrum feature statistics include: power spectrum peak amplitude, number of power spectrum peaks, power spectrum peak position, power spectrum interval, power spectrum amplitude, power spectrum area, power spectrum slope between corresponding power spectrums at different time periods within a period of time Such as the maximum value, mean value, ratio, difference, sum, integral, standard deviation, distribution statistics, etc. of these features, as well as the statistical analysis value of the power spectrum feature statistics, such as the standard of the maximum power spectrum peak position difference between the power spectra Difference, the number of the maximum power spectrum peak position difference between power spectra exceeding a predetermined value, etc.
非线性动力学特征统计量包括非线性动力学特征值的统计分析数据。The nonlinear dynamic characteristic statistics include statistical analysis data of nonlinear dynamic characteristic values.
时域特征值统计分析数据是指基于统计学分析方法对时域特征值进行一段时间的分析结果，可以至少包含脉搏间隔的差值、脉搏幅度的差值、脉搏斜率的差值、脉搏面积的差值、脉搏包络的差值、脉搏宽度的差值、脉搏间隔的均值、脉搏幅度的均值、脉搏斜率的均值、脉搏面积的均值、脉搏包络的均值、脉搏宽度的均值、脉搏间隔的标准差、脉搏幅度的标准差、脉搏波斜率的标准差、脉搏面积的标准差、脉搏包络的标准差、脉搏宽度的标准差、脉搏间隔的加和、脉搏幅度的加和、脉搏斜率的加和、脉搏面积的加和、脉搏包络的加和、脉搏宽度的加和、脉搏间隔的比值、脉搏幅度的比值、脉搏斜率的比值、脉搏面积的比值、脉搏包络的比值、脉搏宽度的比值、脉搏间隔的差值的均值、脉搏幅度差值的均值、脉搏斜率差值的均值、脉搏面积差值的均值、脉搏包络差值的均值、脉搏宽度差值的均值、脉搏间隔的差值的积分、脉搏幅度差值的积分、脉搏斜率差值的积分、脉搏面积差值的积分、脉搏包络差值的积分、脉搏宽度差值的积分、最大脉率值、最小脉率值等其中之一。其中，脉搏间隔的均值是指一时间段内的脉搏间隔的平均值。脉搏间隔的差值是指脉搏间隔之间的差值。脉搏间隔差值的均值是指一时间段内的脉搏间隔差值的均值。脉搏间隔差值的积分是指一时间段内脉搏间隔差值在一时间段内进行积分得到的积分值。脉搏间隔的加和是指脉搏间隔相加之和。脉搏间隔的比值是指不同脉搏间隔的比值。脉搏间隔的标准差是指一时间段脉搏间隔的标准差。脉搏宽度的差值是指脉搏宽度的差值。脉搏宽度的均值是指一时间段内脉搏宽度的平均值。脉搏宽度的差值是指脉搏宽度之间的差值。脉搏宽度差值的均值是指一段时间内脉搏宽度差值的均值。脉搏宽度差值的积分是指一时间段内脉搏宽度差值在一时间段内进行积分得到的积分值。脉搏宽度的标准差是指一时间段内的脉搏宽度的标准差。脉搏宽度的加和是指脉搏宽度的相加之和。脉搏宽度的比值是指不同的脉搏宽度之间的比值。脉搏幅度的差值是指脉搏幅度之间的差值。脉搏幅度的均值是指一时间段内的脉搏幅度的均值。脉搏幅度的标准差是指一时间段内的脉搏幅度的标准差。脉搏幅度的加和是指一时间段内脉搏幅度相加之和。脉搏幅度的比值是指不同脉搏幅度之间的比值。脉搏幅度差值的均值是指一时间段内的脉搏幅度差值的均值。脉搏幅度差值的积分是指一时间段内脉搏幅度差值在一时间段内进行积分得到的积分值。脉搏斜率的差值是指脉搏斜率之间的差值。脉搏斜率的均值是指一时间段内脉搏斜率的均值。脉搏斜率的标准差是指一时间段内的脉搏斜率的标准差。脉搏斜率的加和是指一时间段内脉搏斜率相加之和。脉搏斜率的比值是指不同脉搏斜率之间的比值。脉搏斜率差值的均值是指一时间段内的脉搏斜率差值的均值。脉搏斜率差值的积分是指一时间段内脉搏斜率差值在一时间段内进行积分得到的积分值。脉搏面积的差值是指脉搏面积之间的差值，脉搏面积的均值是指一时间段内的脉搏面积之间的均值，脉搏面积的标准差是指一时间段内的脉搏面积的标准差。脉搏面积的加和是指一时间段内脉搏面积相加之和。脉搏面积的比值是指不同脉搏面积之间的比值。脉搏面积差值的均值是指一时间段内的脉搏面积差值的均值。脉搏面积差值的积分是指一时间段内脉搏面积差值在一时间段内进行积分得到的积分值。Time-domain characteristic value statistical analysis data refers to the analysis results of time-domain characteristic values based on statistical analysis methods for a period of time. It can include at least the difference in pulse interval, the difference in pulse amplitude, the difference in pulse slope, and the pulse area. Difference, difference in pulse envelope, difference in pulse width, average pulse interval, average pulse amplitude, average pulse slope, average pulse area, average pulse envelope, average pulse width, average pulse interval Standard deviation, standard deviation of pulse amplitude, standard deviation of pulse wave slope, standard deviation of pulse area, standard deviation of pulse envelope, standard deviation of pulse width, sum of pulse intervals, sum of pulse amplitude, sum of pulse slope Sum, pulse area, pulse envelope, pulse width, pulse interval ratio, pulse amplitude ratio, pulse slope ratio, pulse area ratio, pulse envelope ratio, pulse width The ratio of the difference of the pulse interval, the average of the pulse amplitude difference, the average of the pulse slope difference, the average of the pulse area difference, the average of the pulse envelope difference, the average of the pulse width difference, the average of the pulse interval Integral of difference, integral of pulse amplitude difference, integral of pulse slope difference, integral of pulse area difference, integral of pulse envelope difference, integral of pulse width difference, maximum pulse rate value, minimum pulse rate value Wait for one of them. Among them, the average value of pulse interval refers to the average value of pulse interval in a period of time. The difference in pulse interval refers to the difference between pulse intervals. The average value of the pulse interval difference refers to the average value of the pulse interval difference in a period of time. The integral of the pulse interval difference refers to the integral value obtained by integrating the pulse interval difference within a time period. The sum of pulse intervals refers to the sum of pulse intervals. The ratio of pulse interval refers to the ratio of different pulse intervals. The standard deviation of the pulse interval refers to the standard deviation of the pulse interval in a period of time. The difference in pulse width refers to the difference in pulse width. The average value of pulse width refers to the average value of pulse width in a period of time. The difference in pulse width refers to the difference between pulse widths. The average value of the pulse width difference refers to the average value of the pulse width difference over a period of time. The integral of the pulse width difference refers to the integral value obtained by integrating the pulse width difference within a time period. The standard deviation of the pulse width refers to the standard deviation of the pulse width in a period of time. The sum of pulse width refers to the sum of pulse widths. The pulse width ratio refers to the ratio between different pulse widths. The difference in pulse amplitude refers to the difference between the pulse amplitudes. The average value of pulse amplitude refers to the average value of pulse amplitude in a period of time. The standard deviation of the pulse amplitude refers to the standard deviation of the pulse amplitude in a period of time. The sum of pulse amplitudes refers to the sum of pulse amplitudes in a period of time. The ratio of pulse amplitude refers to the ratio between different pulse amplitudes. The average value of the pulse amplitude difference refers to the average value of the pulse amplitude difference in a period of time. The integral of the pulse amplitude difference refers to the integral value obtained by integrating the pulse amplitude difference within a time period. The difference in pulse slope refers to the difference between the pulse slopes. The average value of pulse slope refers to the average value of pulse slope in a period of time. The standard deviation of the pulse slope refers to the standard deviation of the pulse slope in a period of time. The sum of pulse slopes refers to the sum of pulse slopes in a period of time. The ratio of pulse slope refers to the ratio between different pulse slopes. The average value of the pulse slope difference refers to the average value of the pulse slope difference in a period of time. The integral of the pulse slope difference refers to the integral value obtained by integrating the pulse slope difference within a time period. The difference of pulse area refers to the difference between pulse areas, the mean value of pulse area refers to the mean value of the pulse area in a period of time, and the standard deviation of pulse area refers to the standard deviation of the pulse area in a period of time. . The sum of pulse areas refers to the sum of pulse areas in a period of time. The ratio of pulse area refers to the ratio between different pulse areas. The average value of the pulse area difference refers to the average value of the pulse area difference in a period of time. The integral of the pulse area difference refers to the integral value obtained by integrating the pulse area difference within a time period.
变异相关量是指反映一段时间内时域特征值、脉搏波频率相关量、频域特征、非线性动力学特征、频域特征统计量、非线性动力学特征统计量、脉搏频率相关量统计量、时域特征值统计量中至少之一发生变化的度量，例如变异相关量至少包括变异度和变异次数等 其中之一。Variation related quantity refers to the time domain characteristic value, pulse wave frequency correlation quantity, frequency domain characteristic, nonlinear dynamic characteristic, frequency domain characteristic statistics, nonlinear dynamic characteristic statistics, and pulse frequency correlation statistics within a period of time. , A measure of the change of at least one of the time-domain feature value statistics, for example, the variation related quantity includes at least one of the degree of variation and the number of variations.
其中，前述变异度用于表征脉搏波的信号特征信息相对于一段时间内脉搏波信号特征信息的统计分析结果的变异程度，这里的信号特征信息至少包括时域特征值、脉搏波频率相关量、频域特征值、非线性动力学特征、频域特征统计量、非线性动力学特征统计量、脉搏频率相关量统计量、时域特征值统计量等中的其中之一。在其中一个实施例中，变异度可以是时域特征值、脉搏波频率相关量、频域特征、非线性动力学特征中的其中之一，与一段时间内时域特征值统计分析数据、一段时间内脉搏波频率相关量的统计量、一段时间内频域特征的统计量、一段时间内的非线性动力学特征的统计量之间的差异度。本文的差异度可以采用求差值、求商、求差值和商的组合运算等来获得。本文中提到的统计分析方法包括均值计算、差值计算、标准差计算等数学统计方法中的其中之一。具体地，在其中一实施例中，前述变异度可以是指一个脉搏波相对任意一段时间的脉搏波的变异程度，具体地，前述变异度可以是指当前脉搏波相对一时间段内的脉搏波的变异程度，如，脉搏间隔的变异度。以下以脉搏间隔的变异度举例说明，当前脉搏波为第七个脉搏波，则具有六个脉搏间隔，计算这六个脉搏间隔中的至少一个脉搏间隔与六个脉搏间隔中任意个数的脉搏间隔的均值的差值，将该差值与均值的比值作为脉搏间隔的变异度。可以理解的是，在其它实施例中，前述变异度是指当前脉搏波相对前一脉搏波的变异程度，例如，当前脉搏波为第七个脉搏波，则具有六个脉搏间隔，计算第六个脉搏间隔与前五个脉搏间隔的均值之间的差值，将该差值和前五个脉搏间隔的均值比值作为脉搏间隔的变异度。Among them, the aforementioned variability is used to characterize the degree of variation of the pulse wave signal characteristic information with respect to the statistical analysis result of the pulse wave signal characteristic information over a period of time. The signal characteristic information here includes at least the time domain characteristic value, the pulse wave frequency related quantity, One of frequency domain feature values, nonlinear dynamic features, frequency domain feature statistics, nonlinear dynamic feature statistics, pulse frequency related statistics, time domain feature value statistics, etc. In one of the embodiments, the degree of variability may be one of the time domain feature value, the pulse wave frequency correlation value, the frequency domain feature, the nonlinear dynamics feature, and the time domain feature value statistical analysis data over a period of time, a period of time The degree of difference between the statistics of pulse wave frequency-related quantities over time, the statistics of frequency domain characteristics over a period of time, and the statistics of nonlinear dynamic characteristics over a period of time. The degree of difference in this article can be obtained by the combination of difference, quotient, difference and quotient. The statistical analysis methods mentioned in this article include one of the mathematical statistical methods such as mean calculation, difference calculation, and standard deviation calculation. Specifically, in one of the embodiments, the aforementioned degree of variability may refer to the degree of variability of a pulse wave with respect to the pulse wave in any period of time. Specifically, the aforementioned degree of variability may refer to the current pulse wave relative to the pulse wave within a period of time. The degree of variability, such as the variability of pulse interval. The following takes the variability of the pulse interval as an example. If the current pulse wave is the seventh pulse wave, there are six pulse intervals. Calculate at least one of the six pulse intervals and any number of pulses in the six pulse intervals. The difference between the mean of the interval, and the ratio of the difference to the mean is taken as the variability of the pulse interval. It is understandable that in other embodiments, the aforementioned degree of variability refers to the degree of variation of the current pulse wave relative to the previous pulse wave. For example, if the current pulse wave is the seventh pulse wave, there are six pulse intervals, and the sixth pulse wave is calculated. The difference between a pulse interval and the average of the first five pulse intervals, and the ratio of the difference to the average of the first five pulse intervals is used as the pulse interval variability.
其中，上述变异次数可以是指在一段时间内脉搏波变异发生的次数，例如，一段时间内时域特征值、脉搏波频率相关量、频域特征、非线性动力学特征、频域特征统计量、非线性动力学特征统计量、脉搏频率相关量统计量、时域特征值统计量超过预定值的次数。具体地，如变异次数可以是脉搏间隔的差值超过预定值的次数，或者是在一段时间内上述脉搏间隔、脉搏间隔的均值、脉搏间隔差值的均值、脉搏间隔的标准差、脉搏幅度的差值、脉搏幅度的均值、脉搏幅度的标准差、脉搏斜率的差值、脉搏斜率的均值、脉搏斜率的标准差、脉搏面积的差值、脉搏面积的均值、脉搏面积的标准差、脉率值、最大脉率值和最小脉率值等脉搏波信号特征信息中的其中一种超过预定值的次数。Among them, the number of mutations mentioned above may refer to the number of pulse wave variations that occur within a period of time, for example, time domain feature values, pulse wave frequency correlation quantities, frequency domain features, nonlinear dynamics features, and frequency domain feature statistics within a period of time. , Non-linear dynamic characteristic statistics, pulse frequency related statistics, and time domain characteristic value statistics exceed the predetermined value. Specifically, for example, the number of variations may be the number of times the pulse interval difference exceeds a predetermined value, or the pulse interval, the average pulse interval, the average pulse interval difference, the standard deviation of the pulse interval, and the pulse amplitude in a period of time. Difference, mean value of pulse amplitude, standard deviation of pulse amplitude, difference of pulse slope, mean value of pulse slope, standard deviation of pulse slope, difference of pulse area, mean value of pulse area, standard deviation of pulse area, pulse rate The number of times that one of the pulse wave signal characteristic information such as the value, the maximum pulse rate value, and the minimum pulse rate value exceeds a predetermined value.
在本申请中，前述的特征值、特征值的统计分析数据以及预设阈值中的至少之一统称为节律量化参数值，即，所述节律量化参数值至少可以包括特征值、特征值的统计分析数据以及预设阈值中的至少之一。其中特征值可以包括频域特征、非线性动力学特征、脉搏频率相关量和时域特征值的至少之一；特征值的统计分析数据可以包括频域统计分析数据、非线性动力学特征统计量、脉搏频率相关量统计量、时域特征值统计量和变异相关量中的至少之一；预设阈值包括前述特征值和/或特征值的统计分析数据对应的阈值。In this application, at least one of the aforementioned feature values, statistical analysis data of feature values, and preset thresholds is collectively referred to as a rhythm quantization parameter value, that is, the rhythm quantization parameter value may include at least the feature value and the statistics of the feature value. At least one of the analysis data and the preset threshold. The characteristic value may include at least one of frequency domain characteristics, nonlinear dynamic characteristics, pulse frequency related quantities, and time domain characteristic values; the statistical analysis data of the characteristic values may include frequency domain statistical analysis data, nonlinear dynamic characteristic statistics , At least one of the pulse frequency related quantity statistics, the time domain feature value statistics, and the variation related quantity; the preset threshold includes the aforementioned feature value and/or the threshold corresponding to the statistical analysis data of the feature value.
在一些实施例中，可以基于识别的节律量化参数值与相应预设阈值的比较来给出规则性评价信息，例如，可以基于前述变异度与相应的阈值进行比较、前述变异次数与相应的阈值进行比较、或者结合前述变异度和变异次数分别与相应的阈值进行比较，根据比较结果来给出脉搏节律规则度的评价信息，从而确定脉搏波是否规则。在一些实施例中，可以依据识别到的前述节律量化参数值中的一个特征值来与阈值比较进行，从而给出规则性评价信息；或者，还可以依据识别到的前述节律量化参数值中两个以上(含两个)的特征值分别与相应的阈值比较，进行多条件组合判断，从而给出脉搏节律规则度的评价信息。其次，在一些实施例中，连续多次将识别的节律量化参数值中的至少一种特征值，与预设阈值进行比较，在多次比较结果均满足脉搏波规则或脉搏波不规则的标准时，给出有关脉搏波规则或脉搏波不规则的评估结果，从而获得规则性评价信息。另外，在另一些实施例中，在一段时间内连续多次将识别的节律量化参数值中的至少一种特征值，与预设阈值进行比较，当多次比较结果中表征脉搏波规则的次数占比满足脉搏波规则标准时，输出脉搏波规 则的评估结果，当多次比较结果中表征脉搏波不规则的次数占比满足脉搏波不规则标准时，输出脉搏波不规则的评估结果。In some embodiments, the regularity evaluation information can be given based on the comparison of the identified rhythm quantification parameter value with the corresponding preset threshold. For example, it can be based on the comparison of the aforementioned degree of variability with the corresponding threshold, and the aforementioned number of mutations with the corresponding threshold. Compare or compare the aforementioned variation and the number of variation with the corresponding threshold respectively, and give the evaluation information of the pulse rhythm regularity according to the comparison result, so as to determine whether the pulse wave is regular. In some embodiments, it can be compared with a threshold value based on one of the identified characteristic values of the aforementioned rhythm quantization parameter values, so as to provide regularity evaluation information; or, it can also be based on two of the identified aforementioned rhythm quantization parameter values. More than one (including two) feature values are respectively compared with the corresponding thresholds, and a multi-condition combination judgment is performed, thereby giving the evaluation information of the pulse rhythm regularity. Secondly, in some embodiments, at least one characteristic value of the identified rhythm quantization parameter values is continuously compared with a preset threshold value. When the multiple comparison results meet the pulse wave rule or the pulse wave irregularity standard , Give the evaluation result about pulse wave rule or pulse wave irregularity, so as to obtain regularity evaluation information. In addition, in other embodiments, at least one characteristic value of the recognized rhythm quantization parameter value is compared with a preset threshold multiple times in a period of time. When the multiple comparison results represent the number of times of the pulse wave rule When the proportion meets the pulse wave rule standard, the evaluation result of the pulse wave rule is output, and when the proportion of the number of times characterizing the pulse wave irregularity in the multiple comparison results meets the pulse wave irregular standard, the pulse wave irregularity evaluation result is output.
具体地，在一些实施例中，所述统计分析数据为基于前述的特征值得出的脉搏变异度和/或变异次数。所述根据所述统计分析数据得到所述规则性评价信息，包括：Specifically, in some embodiments, the statistical analysis data is the pulse variability and/or the number of variability based on the aforementioned characteristic values. The obtaining the regularity evaluation information according to the statistical analysis data includes:
将所述变异度和/或变异次数与预设的变异度和/或变异次数的预设统计数据进行比较，得到所述规则性评价信息。例如，对于采集的一段时间内的脉搏波信号，可以连续多次对该脉搏波信号的变异度和/或变异次数进行统计，并用每次统计所得的变异度和/或变异次数分别与预设的变异度和/或变异次数的预设统计数据进行比较，预设一连续统计次数的阈值为N次，若比较结果为大于或等于N次的连续统计的脉搏波信号的变异度和/或变异次数均超出预设的变异度和/或变异次数的预设统计数据，则判断所述脉搏波信号的规则性评价信息为脉搏不规则。又例如，在另一些实施例中，对其中任意一段时间内的脉搏波信号的变异度和/或变异次数进行多次的统计，并用每次统计所得的变异度和/或变异次数分别与预设的变异度和/或变异次数的预设统计数据进行比较，记录统计的脉搏波信号的变异度和/或变异次数超出预设的变异度和/或变异次数的预设统计数据的次数为N1次，所述N1次统计的结果可判断为所述脉搏波信号的规则性评价信息为脉搏不规则，预设一百分比X，当N1在总的统计次数中的占比大于或等于X时，则得出最终的判断结果为脉搏不规则，否则，得出最终的判断结果为脉搏规则。The degree of variation and/or the number of variations is compared with the preset statistical data of the degree of variation and/or the number of variations to obtain the regularity evaluation information. For example, for the pulse wave signal collected within a period of time, the variability and/or the number of variability of the pulse wave signal can be counted for multiple times in succession, and the variability and/or the number of variability obtained from each statistics can be compared with the preset The variability and/or the preset statistical data of the number of variations are compared, and a preset threshold for the number of consecutive statistics is N times. If the comparison result is greater than or equal to N times, the variability and/or the pulse wave signal of the continuous statistics If the number of mutations exceeds the preset degree of mutation and/or the preset statistical data of the number of mutations, it is determined that the regularity evaluation information of the pulse wave signal is irregular pulse. For another example, in other embodiments, the variability and/or the number of variability of the pulse wave signal in any period of time are counted multiple times, and the variability and/or the number of variability obtained from each statistic are respectively compared with the predicted number. The preset statistical data of the set variance and/or the number of variances are compared, and the number of times that the variance and/or number of variances of the recorded pulse wave signal exceeds the preset statistical data of the preset variance and/or the number of variances is N1 times, the result of the N1 times of statistics can be judged that the regularity evaluation information of the pulse wave signal is irregular pulse. A percentage X is preset. When the proportion of N1 in the total number of statistics is greater than or equal to X , The final judgment result is irregular pulse, otherwise, the final judgment result is regular pulse.
从而，在另一些实施例中，可为对根据所述脉搏波信号获取的表征脉搏波的波动节律的特征值进行统计分析后得到统计分析数据后，再来获取用于表示规则或不规则的规则性评价信息。Therefore, in other embodiments, it may be that after statistical analysis is performed on the characteristic values representing the fluctuation rhythm of the pulse wave obtained according to the pulse wave signal, the statistical analysis data is obtained, and then the rules for representing the rule or the irregularity are obtained. Sexual evaluation information.
具体地，时域特征值的统计量包括波形形态特征统计量，波形形态特征统计量是指基于统计学分析方法对波形形态特征值进行一段时间的分析结果，可以至少包含脉搏间隔的差值、脉搏幅度的差值、脉搏斜率的差值、脉搏面积的差值、脉搏包络的差值、脉搏宽度的差值、脉搏间隔的均值、脉搏幅度的均值、脉搏斜率的均值、脉搏面积的均值、脉搏包络的均值、脉搏宽度的均值、脉搏间隔的标准差、脉搏幅度的标准差、脉搏波斜率的标准差、脉搏面积的标准差、脉搏包络的标准差、脉搏宽度的标准差、脉搏间隔的加和、脉搏幅度的加和、脉搏斜率的加和、脉搏面积的加和、脉搏包络的加和、脉搏宽度的加和、脉搏间隔的比值、脉搏幅度的比值、脉搏斜率的比值、脉搏面积的比值、脉搏包络的比值、脉搏宽度的比值、脉搏间隔的差值的均值、脉搏幅度差值的均值、脉搏斜率差值的均值、脉搏面积差值的均值、脉搏包络差值的均值、脉搏宽度差值的均值、脉搏间隔的差值的积分、脉搏幅度差值的积分、脉搏斜率差值的积分、脉搏面积差值的积分、脉搏包络差值的积分、脉搏宽度差值的积分、最大脉率值、最小脉率值等其中之一。Specifically, the time-domain feature value statistics include waveform morphological feature statistics. The waveform morphological feature statistics refer to the results of analyzing waveform morphological feature values for a period of time based on statistical analysis methods, and may include at least the difference in pulse interval, Difference in pulse amplitude, difference in pulse slope, difference in pulse area, difference in pulse envelope, difference in pulse width, average pulse interval, average pulse amplitude, average pulse slope, average pulse area , The mean value of pulse envelope, the mean value of pulse width, the standard deviation of pulse interval, the standard deviation of pulse amplitude, the standard deviation of pulse wave slope, the standard deviation of pulse area, the standard deviation of pulse envelope, the standard deviation of pulse width, The sum of pulse interval, the sum of pulse amplitude, the sum of pulse slope, the sum of pulse area, the sum of pulse envelope, the sum of pulse width, the ratio of pulse interval, the ratio of pulse amplitude, the ratio of pulse slope Ratio, ratio of pulse area, ratio of pulse envelope, ratio of pulse width, average of pulse interval difference, average of pulse amplitude difference, average of pulse slope difference, average of pulse area difference, pulse envelope The mean of the difference, the mean of the pulse width difference, the integral of the difference between the pulse intervals, the integral of the pulse amplitude difference, the integral of the pulse slope difference, the integral of the pulse area difference, the integral of the pulse envelope difference, the pulse One of the integral of the width difference, the maximum pulse rate value, and the minimum pulse rate value.
所述机器学习方法可为通过模型训练建立机器学习模型，例如神经网络模型，从而，可将所述至少两个特征值作为机器学习模型的输入，而自动得出为用于表示规则或不规则的所述规则性评价信息这一输出。The machine learning method may be to establish a machine learning model, such as a neural network model, through model training, so that the at least two feature values can be used as input to the machine learning model and automatically derived to represent rules or irregularities The output of the regularity evaluation information.
在一些实施例中，通过机器学习方法，将所述至少两个特征值作为输入，而得出所述规则性评价信息这一输出，包括：In some embodiments, using the at least two feature values as input to obtain the output of the regularity evaluation information through a machine learning method includes:
将脉搏波信号输入到完成训练之后的机器学习模型中，自动获得脉搏波相关信息和规则性评价信息。Input the pulse wave signal into the machine learning model after the training is completed, and automatically obtain pulse wave related information and regularity evaluation information.
其中，可通过模型训练建立机器学习模型，机器学习模型如神经网络模型。在其中一个实施例中，在训练机器学习模型时，可将脉搏波相关信息与规则性评价信息的关联关系，输入到训练机器学习模型中，获得完成训练之后的机器学习模型。当然，在一些实施例中，对前述脉搏波信号进行机器学习以得到脉搏波相关信息，包括：将基于时域分析、频域分析、或非线性动力学分析后的脉搏波信号得到的脉搏波相关信息输入到完成训练之后的机 器学习模型中，可自动获得规则性评价信息。Among them, machine learning models can be established through model training, such as neural network models. In one of the embodiments, when training the machine learning model, the correlation between pulse wave related information and regularity evaluation information can be input into the training machine learning model to obtain the machine learning model after the training is completed. Of course, in some embodiments, performing machine learning on the aforementioned pulse wave signal to obtain pulse wave related information includes: the pulse wave obtained based on the pulse wave signal after time domain analysis, frequency domain analysis, or nonlinear dynamics analysis Relevant information is input into the machine learning model after training, and regular evaluation information can be automatically obtained.
在一些实施例中，所述对某一时间段或若干个周期的脉搏波信号进行特征提取而获取至少两个特征值为对脉搏波信号的不同时间段进行特征提取而获取的不同特征值，根据采用的分析技术相同或不同，而可为相同类型的特征值或不同类型的特征值。例如，对某一时间段内的多个不同时间段分别通过时域技术进行特征提取而得到多个脉搏间隔这一类型的多个特征值。或者，也可对某一时间段内的多个不同时间段，例如三个时间段分别通过时域技术、频域技术、以及非线性动力学技术进行特征提取，而分别得到相应的时域特征值、频域特征值以及非线性动力学特征值。In some embodiments, the feature extraction is performed on the pulse wave signal of a certain period of time or several cycles to obtain at least two feature values that are different feature values obtained by feature extraction on different periods of the pulse wave signal, According to the same or different analysis techniques, they can be the same type of feature value or different types of feature value. For example, feature extraction is performed on multiple different time periods within a certain time period through time domain technology to obtain multiple characteristic values of the type of multiple pulse intervals. Alternatively, it is also possible to perform feature extraction on multiple different time periods within a certain time period, for example, three time periods using time domain technology, frequency domain technology, and nonlinear dynamics technology to obtain corresponding time domain features. Value, frequency domain characteristic value and nonlinear dynamic characteristic value.
在一些实施例中，所述至少两个特征值为一时间段或若干个周期的不同时间段的脉搏波信号进行特征提取得出的特征值，且每个特征值的提取方式也可为采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述脉搏波信号的相同波形段进行特征提取而获取至少两类特征值，根据两类特征值以及每类特征值的权重值得出该波形段的最终的特征值。In some embodiments, the at least two characteristic values are characteristic values obtained by characteristic extraction of pulse wave signals of different time periods in a period of time or several cycles, and the method of extracting each characteristic value may also be At least one analysis technology of time domain technology, frequency domain technology, and nonlinear dynamics technology performs feature extraction on the same waveform segment of the pulse wave signal to obtain at least two types of feature values, according to the two types of feature values and each type of feature The weight of the value gives the final characteristic value of the waveform segment.
更具体的计算方式及例子可参考前述的描述。For more specific calculation methods and examples, please refer to the foregoing description.
在一些实施例中，在步骤“根据所述脉搏波信号获取表征脉搏波的波动节律的特征值”之后或之前，所述方法还包括：对脉搏波信号的质量进行评估而得到质量因子；以及根据所述质量因子确定是否采用或舍弃当前得到的脉搏波信号。可以理解地，质量因子可以是根据步骤S22或S23对周期性生理信号或者脉搏波信号进行分析处理过程中得到的特征。In some embodiments, after or before the step of "obtaining a characteristic value representing the fluctuation rhythm of the pulse wave from the pulse wave signal", the method further includes: evaluating the quality of the pulse wave signal to obtain a quality factor; and According to the quality factor, it is determined whether to adopt or discard the pulse wave signal currently obtained. Understandably, the quality factor may be a feature obtained during the analysis and processing of the periodic physiological signal or the pulse wave signal according to step S22 or S23.
在一些实施例中，得到所述质量因子的方式与前述的“根据所述脉搏波信号获取表征脉搏波的波动节律的特征值”的方式可相同，仅仅是得出的是作为质量因子的特征值。In some embodiments, the method of obtaining the quality factor may be the same as the method of “obtaining the characteristic value of the fluctuation rhythm of the pulse wave according to the pulse wave signal” described above, except that the characteristic obtained is the quality factor. value.
例如，所述质量因子可为通过时域技术得出的脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络和脉搏宽度中的至少一种时域值，也可为通过频域技术得出的包括频谱特征、功率谱特征值等至少一个频域值，也可为通过非线性动力学技术得出的熵值、复杂度等至少一个非线性动力学值。For example, the quality factor may be at least one time domain value of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, and pulse width obtained through time domain technology, or may be obtained through frequency domain technology. The output includes at least one frequency domain value such as a frequency spectrum feature, a power spectrum feature value, etc., and may also be at least one nonlinear dynamics value such as entropy value and complexity obtained by nonlinear dynamics technology.
又例如，所述质量因子可为最值、比值、加和、积分、差值、均值、标准差、最大间隔期、最小间隔期、脉搏变异度、变异次数、最大脉率值、最小脉率值中的至少一种。For another example, the quality factor may be the maximum value, ratio, sum, integral, difference, mean, standard deviation, maximum interval, minimum interval, pulse variability, number of variations, maximum pulse rate, minimum pulse rate At least one of the values.
在一些实施例中，所述步骤“分析所述特征值得到规则性评价信息”，可包括：当根据所述质量因子确定当前得到的脉搏波信号可被采用时，根据所述获取出的特征值进行进一步分析，得到规则性评价信息。In some embodiments, the step of "analyzing the characteristic value to obtain regularity evaluation information" may include: when it is determined according to the quality factor that the currently obtained pulse wave signal can be used, according to the obtained characteristic Value is further analyzed to obtain regularity evaluation information.
即，在一些实施例中，当确定当前得到的脉搏波信号可被采用时，则确定所述特征值是可信的，而直接根据所述获取出的特征值进行进一步分析，得到规则性评价信息。That is, in some embodiments, when it is determined that the currently obtained pulse wave signal can be used, it is determined that the characteristic value is credible, and further analysis is performed directly based on the acquired characteristic value to obtain a regularity evaluation information.
其中，所述“根据所述获取出的特征值进行进一步分析，得到规则性评价信息”与前述的“分析所述特征值得到规则性评价信息”的过程相同。Wherein, the process of "further analysis based on the acquired characteristic value to obtain regularity evaluation information" is the same as the aforementioned "analysis of the characteristic value to obtain regularity evaluation information".
进一步的，所述步骤“分析所述特征值得到规则性评价信息”，还可包括：当根据所述质量因子确定当前得到的脉搏波信号可被采用时，根据所述质量因子以及所述获取出的特征值进行进一步分析，得到规则性评价信息。Further, the step of "analyzing the characteristic value to obtain regularity evaluation information" may further include: when it is determined according to the quality factor that the currently obtained pulse wave signal can be used, according to the quality factor and the acquisition The eigenvalues obtained are further analyzed to obtain regularity evaluation information.
其中，所述根据所述质量因子以及所述获取出的特征值进行进一步分析，得到规则性评价信息，包括：根据质量因子确定所述特征值的权重值以及所述质量因子的权重值；根据所述特征值的权重值以及所述质量因子的权重值对所述特征值和所述质量因子进行加权计算得到加权特征值；根据加权特征值进行分析，得到所述规则性评价信息。Wherein, the further analysis according to the quality factor and the acquired characteristic value to obtain regularity evaluation information includes: determining the weight value of the characteristic value and the weight value of the quality factor according to the quality factor; The weight value of the characteristic value and the weight value of the quality factor perform weighted calculation on the characteristic value and the quality factor to obtain a weighted characteristic value; and analyze according to the weighted characteristic value to obtain the regularity evaluation information.
即，在一些实施例中，可根据特征值来分析脉搏波信号的质量而得到指示所述脉搏波信号质量的质量因子，由于所述质量因子本身为与特征值相同的方式得出的另一种形式的特征值，从而可将质量因子与根据脉搏波信号获取的特征值进行加权得到加权调整值后，再根据加权特征值进行分析，得到所述规则性评价信息，可有效提高规则性评价信息的准 确性。That is, in some embodiments, the quality of the pulse wave signal can be analyzed according to the characteristic value to obtain the quality factor indicating the quality of the pulse wave signal, because the quality factor itself is another derived from the characteristic value. The quality factor and the characteristic value obtained according to the pulse wave signal can be weighted to obtain a weighted adjustment value, and then analyzed according to the weighted characteristic value to obtain the regularity evaluation information, which can effectively improve the regularity evaluation The accuracy of the information.
其中，所述根据质量因子确定所述特征值的权重值以及所述质量因子的权重值，可具体包括：将得到的质量因子与对应的质量因子阈值进行比较，根据比较结果确定该质量因子的加权值j1；以及确定特征值的权重值为(1-j1)。Wherein, the determining the weight value of the characteristic value and the weight value of the quality factor according to the quality factor may specifically include: comparing the obtained quality factor with a corresponding quality factor threshold, and determining the quality factor of the quality factor according to the comparison result Weight value j1; and determine the weight value of the feature value (1-j1).
其中，所述质量因子可包括至少一个质量因子，且可为通过不同的分析技术得到的不同类型的质量因子或通过相同的分析技术得到的不同类型的质量因子。Wherein, the quality factor may include at least one quality factor, and may be different types of quality factors obtained by different analysis techniques or different types of quality factors obtained by the same analysis technique.
以时域技术得到的质量因子为例，通过时域技术分析，得到以下值：脉搏波幅值标准差、峰峰间隔平均值、峰峰间隔最大值，则分别将脉搏波幅值标准差、峰峰间隔平均值、峰峰间隔最大最小值与标准差阈值、间隔平均值阈值、间隔最大值阈值进行比较，并根据比较结果确定质量因子的加权值j1。其中，当信号质量越好时，对应的质量因子的加权值越小；反之，当信号质量越差时，对应的质量因子的加权值越大。Taking the quality factor obtained by time domain technology as an example, through time domain analysis, the following values are obtained: pulse wave amplitude standard deviation, peak-peak interval average, peak-peak interval maximum, then the pulse wave amplitude standard deviation, The peak-to-peak interval average value, the peak-to-peak interval maximum and minimum values are compared with the standard deviation threshold, the interval average threshold, and the interval maximum threshold, and the weighted value j1 of the quality factor is determined according to the comparison result. Among them, when the signal quality is better, the weight value of the corresponding quality factor is smaller; conversely, when the signal quality is worse, the weight value of the corresponding quality factor is larger.
其中，所述阈值可为单个阈值，也可包括两个阈值，例如第一阈值和第二阈值构成的阈值范围。具体地，在一些实施例中，质量因子的加权值j1的取值范围为0到1，相应地，特征值的权重值1-j1的取值范围也为0到1。设定质量信号越好时，对应的质量因子的加权值越小的意义在于：当质量信号越好时，应该弱化质量因子，而此时的根据脉搏波信号获取的特征值也更为准确，应该强化特征值，故此情形下，质量因子的加权值越小，而特征值的权重值越大；反之亦然。Wherein, the threshold may be a single threshold, or may include two thresholds, for example, a threshold range formed by the first threshold and the second threshold. Specifically, in some embodiments, the weight value j1 of the quality factor ranges from 0 to 1, and correspondingly, the weight value 1-j1 of the feature value also ranges from 0 to 1. The better the quality signal is set, the smaller the weighting value of the corresponding quality factor is: when the quality signal is better, the quality factor should be weakened, and the characteristic value obtained from the pulse wave signal at this time is also more accurate. The eigenvalues should be strengthened, so in this case, the smaller the weight value of the quality factor, the greater the weight value of the eigenvalue; and vice versa.
例如，当满足，幅值标准差<a，并且，峰峰间隔平均值/峰峰间隔最大值<b，则判断信号质量为好，对应的质量因子的加权值j1较小，例如可为j1＝0.2。当a<幅值标准差<c，并且，b<峰峰间隔最大值(最小值)/峰峰间隔平均值<d，判断信号质量为中，对应的质量因子的加权值例如可为j1＝0.5；当幅值标准差>c，并且，峰峰间隔最大值(最小值)/峰峰间隔平均值>d，判断信号质量为低，对应的质量因子的加权值j1较大，例如可为j1＝0.8。For example, when it is satisfied that the amplitude standard deviation is <a, and the peak-to-peak interval average value/peak-to-peak interval maximum value<b, the signal quality is judged to be good, and the corresponding quality factor weight j1 is small, for example, j1 = 0.2. When a<standard deviation of amplitude<c, and b<maximum peak-peak interval (minimum value)/average peak-peak interval<d, the signal quality is judged to be medium, and the weighted value of the corresponding quality factor can be, for example, j1= 0.5; when the amplitude standard deviation>c, and the peak-to-peak interval maximum (minimum)/peak-to-peak interval average>d, it is judged that the signal quality is low, and the corresponding quality factor has a larger weight value j1, for example j1=0.8.
例如，若信号质量越好，则说明得到信号质量的质量因子应该尽量弱化，因此质量因子的加权值可以取值为数值较小的值，例如0.2，而特征值应该强化，因此特征值的权重值可以取值为数值较大的值，例如为1-0.2＝0.8。For example, if the signal quality is better, it means that the quality factor of the signal quality should be as weak as possible, so the weighting value of the quality factor can be a smaller value, such as 0.2, and the eigenvalue should be strengthened, so the weight of the eigenvalue The value can be a larger value, for example, 1-0.2=0.8.
以频域为例来说：可得到一段时间信号的频谱，统计出频谱峰幅度>a的频谱峰个数，第一种情况：当频谱峰幅度>a的频谱峰个数<b时，则判断信号质量为好，加权值j1＝0.2；当b<频谱峰幅度>a的频谱峰个数<c时,判断信号质量为中，加权值＝0.5；当频谱峰幅度>a的频谱峰个数>c时，判断信号质量为低，加权值＝0.8。Take the frequency domain as an example: the frequency spectrum of a signal can be obtained for a period of time, and the number of spectrum peaks whose spectrum peak amplitude>a is counted. The first case: when the spectrum peak amplitude>the number of spectrum peaks of a<b, then Judge the signal quality as good, and the weighted value j1=0.2; when b<spectral peak amplitude> the number of spectral peaks of a<c, judge the signal quality as medium, and the weighted value=0.5; when the spectral peak amplitude>a has spectral peaks When the number>c, the signal quality is judged to be low, and the weighting value=0.8.
在另一些实施例中，所述根据所述质量因子以及所述获取出的特征值进行进一步分析，得到规则性评价信息，还可包括：In other embodiments, the further analysis based on the quality factor and the acquired characteristic value to obtain regularity evaluation information may further include:
将所述质量因子映射为所述获取出的特征值的质量因子系数；Mapping the quality factor to the quality factor coefficient of the acquired characteristic value;
将所述特征值和质量因子系数计算得到校正特征值；Calculating the characteristic value and the quality factor coefficient to obtain a corrected characteristic value;
根据所述校正特征值进行分析，得到所述规则性评价信息。Perform analysis according to the corrected characteristic value to obtain the regularity evaluation information.
即，在另一些实施例中，是通过质量因子得到质量因子系数后，将特征值与质量因子系数计算得到校正特征值后，再根据所述校正特征值得到所述规则性评价信息。在一实施例中，计算为相乘。可以理解地，计算包括相乘、相除、相减、相加中的至少一种，例如，当计算包括相除时，特征值除以质量因子系数。当信号质量越高，质量因子系数越大，最大等于1；当信号质量越差，质量因子系数越小。That is, in other embodiments, after the quality factor coefficient is obtained by the quality factor, the characteristic value and the quality factor coefficient are calculated to obtain the corrected characteristic value, and then the regularity evaluation information is obtained according to the corrected characteristic value. In one embodiment, the calculation is multiplication. Understandably, the calculation includes at least one of multiplication, division, subtraction, and addition. For example, when the calculation includes division, the characteristic value is divided by the quality factor coefficient. When the signal quality is higher, the quality factor coefficient is larger, and the maximum is equal to 1. When the signal quality is worse, the quality factor coefficient is smaller.
其中，得到所述质量因子的方式与前相同，在此不再赘述。Wherein, the method for obtaining the quality factor is the same as before, and will not be repeated here.
进一步的，所述将所述质量因子映射为所述获取出的特征值的质量因子系数，包括：将所述质量因子与对应的质量因子阈值进行比较，根据比较结果将所述质量因子映射为所述获取出的特征值的质量因子系数。Further, the mapping the quality factor to the quality factor coefficient of the acquired feature value includes: comparing the quality factor with a corresponding quality factor threshold, and mapping the quality factor to The quality factor coefficient of the acquired characteristic value.
其中，所述阈值可为单个阈值，也可包括两个阈值，例如第一阈值和第二阈值构成的 阈值范围。Wherein, the threshold may be a single threshold, or may include two thresholds, for example, a threshold range formed by the first threshold and the second threshold.
例如，当满足，幅值标准差<a，并且，峰峰间隔平均值/峰峰间隔最大值<b，则判断信号质量为好，对应的质量因子系数可为1。当a<幅值标准差<c，并且，b<峰峰间隔最大值(最小值)/峰峰间隔平均值<d，判断信号质量为中，质量因子系数为0.8；当幅值标准差>c，并且，峰峰间隔最大值(最小值)/峰峰间隔平均值>d，判断信号质量为低，质量因子系数为0.5。For example, when it is satisfied that the amplitude standard deviation is <a, and the peak-to-peak interval average value/peak-to-peak interval maximum value<b, the signal quality is judged to be good, and the corresponding quality factor coefficient can be 1. When a<standard deviation of amplitude<c, and b<maximum peak-peak interval (minimum)/average peak-peak interval<d, the signal quality is judged to be medium, and the quality factor coefficient is 0.8; when the standard deviation of amplitude> c, and the maximum value (minimum value) of the peak-to-peak interval/average value of the peak-to-peak interval>d, the signal quality is judged to be low, and the quality factor coefficient is 0.5.
以频域为例来说：可得到一段时间信号的频谱，统计出频谱峰幅度>a的频谱峰个数，第一种情况：当频谱峰幅度>a的频谱峰个数<b时，则判断信号质量为好，质量因子系数为1；当b<频谱峰幅度>a的频谱峰个数<c时,判断信号质量为中，质量因子系数为0.8；当频谱峰幅度>a的频谱峰个数>c时，判断信号质量为低，质量因子系数为0.2。Take the frequency domain as an example: the frequency spectrum of a signal can be obtained for a period of time, and the number of spectrum peaks whose spectrum peak amplitude>a is counted. The first case: when the spectrum peak amplitude>the number of spectrum peaks of a<b, then When the signal quality is judged to be good, the quality factor coefficient is 1; when b<spectral peak amplitude> the number of spectral peaks of a<c, the signal quality is judged to be medium, and the quality factor coefficient is 0.8; when the spectral peak amplitude>a is the spectral peak When the number>c, the signal quality is judged to be low, and the quality factor coefficient is 0.2.
例如，若信号质量为低，则说明当前受到的干扰大，此时将特征值乘以的质量因子系数更小，使得特征值对应的干扰信号进行较大的削减，从而有效避免干扰。For example, if the signal quality is low, it means that the current interference is large. At this time, the quality factor coefficient multiplied by the eigenvalue is smaller, so that the interference signal corresponding to the eigenvalue is greatly reduced, thereby effectively avoiding interference.
在一些实施例中，所述方法还包括步骤：当判断信号质量为低时，获取一噪音模板信号，基于所述噪音模板信号对所述脉搏波信号进行除噪处理而得到除噪后的脉搏波信号。In some embodiments, the method further includes the step of: when the signal quality is judged to be low, obtaining a noise template signal, and performing denoising processing on the pulse wave signal based on the noise template signal to obtain the denoised pulse Wave signal.
所述步骤“根据所述脉搏波信号获取表征脉搏波的波动节律的特征值”可包括：根据除噪后的脉搏波信号获取表征脉搏波的波动节律的特征值。The step of "obtaining the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal" may include: obtaining the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal after noise removal.
其中，所述基于所述噪音模板信号对所述脉搏波信号进行除噪处理而得到除噪后的脉搏波信号，可包括：在脉搏波信号中剔除对应所述噪音模板信号的成分而得到除噪后的脉搏波信号。Wherein, performing denoising processing on the pulse wave signal based on the noise template signal to obtain the denoised pulse wave signal may include: removing components corresponding to the noise template signal from the pulse wave signal to obtain the denoising Pulse wave signal after noise.
在一些实施例中，所述分析方法还包括：根据规则性评价信息的类型输出提示信息。可以理解地，输出提示信息的方式可以包括文字、语音、声、光等方式进行输出。In some embodiments, the analysis method further includes: outputting prompt information according to the type of the regularity evaluation information. Understandably, the way of outputting the prompt information may include text, voice, sound, light, etc. for output.
其中，所述提示信息包括脉搏波相关信息、可执行功能的相关信息以及所述规则性评价信息中的至少一种；Wherein, the prompt information includes at least one of pulse wave related information, executable function related information, and the regularity evaluation information;
其中，所述规则性评价信息的类型包括用于表示规则或不规则的评价结果，所述脉搏波相关信息包括脉搏波波形和/或节律量化参数值，所述可执行功能为所述规则性评价信息满足预设条件时下一步可执行的功能。Wherein, the type of the regularity evaluation information includes an evaluation result used to indicate a rule or an irregularity, the pulse wave related information includes a pulse wave waveform and/or a rhythm quantization parameter value, and the executable function is the regularity The function that can be executed next when the evaluation information meets the preset conditions.
应理解的是，在本申请中，脉搏波波形至少可以包括在所述规则性评价信息为表示不规则的评价结果时的脉搏波波形，也可以包括在所述规则性评价信息为表示规则的评价结果时的脉搏波波形，还可以包括在传感器获取测量对象的周期性生理信号的过程中实时得到的脉搏波波形形态。更进一步地，脉搏波波形可以包括一段时间内的波形形态，也可以是连续产生的脉搏波波形形态，例如，当脉搏波波形为连续产生的脉搏波波形形态时，其可以是至少在脉搏波波形态上的某一个片段上包含有一段时间内的不规则脉搏波波形。It should be understood that, in the present application, the pulse wave waveform may at least include the pulse wave waveform when the regularity evaluation information is an evaluation result indicating irregularity, and may also be included when the regularity evaluation information indicates a regularity. The pulse wave waveform at the time of the evaluation result may also include the pulse wave waveform shape obtained in real time in the process of acquiring the periodic physiological signal of the measuring object by the sensor. Further, the pulse wave waveform may include a waveform shape over a period of time, or a continuously generated pulse wave shape. For example, when the pulse wave waveform is a continuously generated pulse wave shape, it may be at least in the pulse wave shape. A certain segment of wave form contains irregular pulse wave waveforms over a period of time.
在一些实施例中，在步骤“根据所述脉搏波信号获取表征脉搏波的波动节律的特征值”之后或之前，所述方法还包括：对脉搏波信号的质量进行评估而得到质量因子；以及根据所述质量因子确定是否采用或舍弃当前得到的脉搏波信号。可以理解地，质量因子可以是根据步骤S22或S23对周期性生理信号或者脉搏波信号进行分析处理过程中得到的特征。In some embodiments, after or before the step of "obtaining a characteristic value representing the fluctuation rhythm of the pulse wave from the pulse wave signal", the method further includes: evaluating the quality of the pulse wave signal to obtain a quality factor; and According to the quality factor, it is determined whether to adopt or discard the pulse wave signal currently obtained. Understandably, the quality factor may be a feature obtained during the analysis and processing of the periodic physiological signal or the pulse wave signal according to step S22 or S23.
另外，例如在包含上文所述的步骤“对脉搏波信号的质量进行评估而得到质量因子；以及根据所述质量因子确定是否采用或舍弃当前得到的脉搏波信号”的实施例中，脉搏波波形可以至少包括在脉搏波信号质量好的时候对应的脉搏波波形，也可以是包括在脉搏波信号质量不好的时候对应的脉搏波波形。也就是说，无论质量因子最终确定是否舍弃当前得到的脉搏波信号，均可以输出或不输出显示对应的脉搏波波形。具体地，在脉搏波信号质量好的时候，对应的脉搏波波形中可以包括不规则脉搏波波形的片段，也可以包括规则脉搏波波形的片段。在其中一个实施例中，脉搏波信号质量好的时候，对应的脉搏波波形可以包括一段时间内的不规则脉搏波波形。In addition, for example, in an embodiment including the above-mentioned steps "evaluate the quality of the pulse wave signal to obtain a quality factor; and determine whether to adopt or discard the currently obtained pulse wave signal according to the quality factor", the pulse wave The waveform may include at least the corresponding pulse wave waveform when the quality of the pulse wave signal is good, and may also include the corresponding pulse wave waveform when the quality of the pulse wave signal is bad. In other words, regardless of whether the quality factor finally determines whether to discard the currently obtained pulse wave signal, the corresponding pulse wave waveform can be output or not displayed. Specifically, when the quality of the pulse wave signal is good, the corresponding pulse wave waveform may include fragments of irregular pulse wave waveforms, or may include fragments of regular pulse wave waveforms. In one of the embodiments, when the quality of the pulse wave signal is good, the corresponding pulse wave waveform may include an irregular pulse wave waveform over a period of time.
节律量化参数值至少可以包括频域特征、非线性动力学特征、脉搏频率相关量、时域特征值、时域特征值的统计量和变异相关量中的其中之一。频域特征至少包括频谱特征、功率谱特征等其中之一。非线性动力学特征至少包括：熵值和复杂度中的其中之一，熵值包括但不限于信息熵、谱熵、近似熵、样本熵、模糊熵等熵值特征。脉搏频率相关量包含脉率以及脉率的统计分析量，例如脉率的统计分析量包含最大脉率值和/或最小脉率值。最大脉率/最小脉率定义：在一段时间内，在有N个脉搏波的信号中，根据相邻脉搏波的间隔可以计算出N-1个脉率，在其中脉率的最大值和最小值即定义为最大脉率和最小脉率。时域特征值至少包含脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度等其中之一。Rhythm quantization parameter values may include at least one of frequency domain characteristics, nonlinear dynamic characteristics, pulse frequency related quantities, time domain feature values, statistics of time domain feature values, and variation related quantities. Frequency domain features include at least one of spectrum features, power spectrum features, and so on. Non-linear dynamic features include at least one of entropy and complexity, and entropy includes but is not limited to entropy features such as information entropy, spectral entropy, approximate entropy, sample entropy, and fuzzy entropy. The pulse rate-related quantity includes pulse rate and a statistical analysis quantity of the pulse rate. For example, the pulse rate statistical analysis quantity includes a maximum pulse rate value and/or a minimum pulse rate value. Definition of maximum pulse rate/minimum pulse rate: in a period of time, in a signal with N pulse waves, N-1 pulse rates can be calculated according to the interval between adjacent pulse waves, in which the maximum and minimum pulse rates are The value is defined as the maximum pulse rate and the minimum pulse rate. The time domain characteristic value includes at least one of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, pulse width, etc.
在一些实施例中，所述节律量化参数值包括如下至少之一：In some embodiments, the rhythm quantization parameter value includes at least one of the following:
脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度、最大脉率值、最小脉率值中的至少在内的至少一个特征值；At least one characteristic value among pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, pulse width, maximum pulse rate value, and minimum pulse rate value;
包括根据至少一个特征值统计分析出的最值、比值、加和、积分、差值、均值、标准差、最大间隔期、最小间隔期，显示变异度，变异次数至少之一在内的统计分析数据；Statistical analysis including at least one of the maximum value, ratio, sum, integral, difference, mean, standard deviation, maximum interval, minimum interval, displayed variability, and the number of variations based on statistical analysis of at least one characteristic value data;
以及包括变异度阈值、变异次数阈值在内的至少一个阈值。And at least one threshold including the threshold of the degree of variability and the threshold of the number of mutations.
其中，所述变异度阈值、变异次数阈值在内的至少一个阈值用于供进行参考，以确认规则性评价信息。Wherein, at least one of the threshold of the degree of variation and the threshold of the number of variations is used for reference to confirm the regularity evaluation information.
其中，所述监护设备200还包括显示屏，所述规则性评价信息可现实与所述显示屏的第一显示区域，所述脉搏波相关信息可显示于所述显示屏的第二显示区域，可执行功能的相关信息可显示于所述显示屏的第三显示区域。即，所述提示信息具体地可至少包括以下之一：Wherein, the monitoring device 200 further includes a display screen, the regularity evaluation information can be displayed in the first display area of the display screen, and the pulse wave related information can be displayed in the second display area of the display screen. Information about executable functions can be displayed in the third display area of the display screen. That is, the prompt information may specifically include at least one of the following:
显示在所述显示屏的第一显示区域的所述规则性评价信息；The regularity evaluation information displayed in the first display area of the display screen;
显示在所述显示屏的第二显示区域的脉搏波相关信息；Pulse wave related information displayed in the second display area of the display screen;
显示在所述显示屏的第三显示区域的可执行功能的相关信息，其中，所述可执行功能为所述规则性评价信息满足预设条件时下一步可执行的功能。The relevant information of the executable function displayed in the third display area of the display screen, wherein the executable function is a next executable function when the regularity evaluation information satisfies a preset condition.
其中，所述规则性评价信息的类型可包括用于表示规则或不规则的评价结果。所述规则性评价信息至少通过以下形式之一的方式显示：文字、图案、光。Wherein, the type of the regularity evaluation information may include an evaluation result used to indicate a rule or an irregularity. The regularity evaluation information is displayed in at least one of the following forms: text, pattern, and light.
其中，所述根据规则性评价信息的类型输出提示信息，可包括：根据所述规则性评价信息的类型为用于表示规则或不规则而显示相应的提示信息。Wherein, the output of the prompt information according to the type of the regularity evaluation information may include: displaying the corresponding prompt information according to the type of the regularity evaluation information for indicating a rule or an irregularity.
请一并参阅图3，为一实施例中的提示信息的显示示意图，如图3所示，所述提示信息可仅包括“疑似不规则脉搏”这一规则性评价信息P1，此时，所述第一显示区域A1可为显示屏的整个显示区域或者显示屏显示的当前界面中的某一区域。所述当前界面可为监护设备200的某一功能界面或者***界面。当第一显示区域为当前界面的某一区域时，所述提示信息可通过弹窗方式显示在当前界面上。当所述第一显示区域A1为显示屏的整个显示区域时，所述提示信息可为从当前界面切换到一提示界面后，显示于所述提示界面中。可以理解地，规则性评价信息P1还可以包括“不规则脉搏”、“不规则”、“脉搏异常”、“异常”、“脉搏间隔不规则”、“不规则脉率”、“疑似不规则”、“疑似房颤”、“疑似心脏节律不规则”等表示不规则脉搏评价和/或表示不规则心脏节律评价结果的其他文字，只要其可以提示测量对象当前出现脉搏/心脏节律不规则或者可能出现脉搏/心脏节律不规则的情况即可，在其文字表达形式上不做限制。Please also refer to FIG. 3, which is a schematic diagram of the display of the prompt information in an embodiment. As shown in FIG. 3, the prompt information may only include the regular evaluation information P1 of "suspected irregular pulse". The first display area A1 may be the entire display area of the display screen or a certain area in the current interface displayed on the display screen. The current interface may be a certain functional interface or system interface of the monitoring device 200. When the first display area is a certain area of the current interface, the prompt information can be displayed on the current interface in a pop-up window. When the first display area A1 is the entire display area of the display screen, the prompt information may be displayed on the prompt interface after switching from the current interface to a prompt interface. Understandably, the regularity evaluation information P1 may also include "irregular pulse", "irregular", "abnormal pulse", "abnormal", "irregular pulse interval", "irregular pulse rate", and "suspected irregular pulse" ", "Suspected Atrial Fibrillation", "Suspected Irregular Heart Rhythm" and other words that indicate irregular pulse evaluation and/or indicate the results of irregular heart rhythm evaluation, as long as it can prompt the measurement subject to present pulse/heart rhythm irregularities or There may be irregular pulse/heart rhythm, and there is no restriction on the form of expression.
显然，当规则性评价信息为规则时，所述提示信息可为“规则脉搏”、“规则”、“正常”等能够提示测量对象当前脉搏和/或心脏节律正常的文字信息。Obviously, when the regularity evaluation information is a rule, the prompt information may be "regular pulse", "rule", "normal" and other text information that can prompt the measurement subject that the current pulse and/or heart rhythm is normal.
提示信息包括规则性评价信息时，用户可以直接地看到设备智能分析的结果，便捷直观，方便用户执行后续检查，例如，预约心电图检查、超声检查等。When the prompt information includes regular evaluation information, the user can directly see the results of the device's intelligent analysis, which is convenient and intuitive, and facilitates the user to perform follow-up examinations, such as booking an ECG examination, ultrasound examination, etc.
请一并参阅图4，为另一实施例中的提示信息的显示示意图，如图4所示，所述提示信息可仅包括显示于第二显示区域A2的脉搏波相关信息P2。具体地，在第二显示区域A2中显示的脉搏波相关信息P2包括——脉搏间隔为：31，43，33，48，29；脉搏间隔均值为36.8；脉搏间隔差值为：12，10，15，19；脉搏间隔均值为14。所述第二显示区域A2可为显示屏的整个显示区域或者显示屏显示的当前界面中的某一区域。当第二显示区域A2为当前界面的某一区域时，所述提示信息可通过弹窗方式显示在当前界面上。当所述第二显示区域A2为显示屏的整个显示区域时，所述提示信息可为从当前界面切换到一提示界面后，显示于所述提示界面中。Please also refer to FIG. 4, which is a schematic diagram of displaying prompt information in another embodiment. As shown in FIG. 4, the prompt information may only include pulse wave related information P2 displayed in the second display area A2. Specifically, the pulse wave related information P2 displayed in the second display area A2 includes the pulse interval: 31, 43, 33, 48, 29; the average pulse interval is 36.8; the pulse interval difference is: 12, 10, 15, 19; The average pulse interval is 14. The second display area A2 may be the entire display area of the display screen or a certain area in the current interface displayed on the display screen. When the second display area A2 is a certain area of the current interface, the prompt information can be displayed on the current interface through a pop-up window. When the second display area A2 is the entire display area of the display screen, the prompt information may be displayed on the prompt interface after switching from the current interface to a prompt interface.
提示信息包括脉搏波相关信息P2时，可以给用户提供波形参考，供用户确认规则性评价信息。When the prompt information includes pulse wave related information P2, it can provide the user with a waveform reference for the user to confirm the regular evaluation information.
请一并参阅图5，为再一实施例中的提示信息的显示示意图，如图5所示，所述提示信息还可同时包括例如显示于上述图3的第一显示区域A1的规则性评价信息P1和例如显示于上述图4的第二显示区域A2的脉搏波相关信息P2。所述规则性评价信息P1位于的第一显示区域A1和所述脉搏波相关信息P2位于的第二显示区域A2相邻设置。可以理解地，第一显示区域A1与第二显示区域A2也可以不相邻，可以任意设置。在本实施例中，第一显示区域A1和第二显示区域A2的相邻设置可以方便用户直观地查看规则性评价信息和结合脉搏波相关信息，根据脉搏波相关信息判断测量对象的发生规则性评价信息的具体原因。Please also refer to FIG. 5, which is a schematic diagram of displaying prompt information in another embodiment. As shown in FIG. 5, the prompt information may also include, for example, the regularity evaluation displayed in the first display area A1 of FIG. The information P1 and the pulse wave related information P2 displayed in the second display area A2 of FIG. 4, for example. The first display area A1 where the regularity evaluation information P1 is located is adjacent to the second display area A2 where the pulse wave related information P2 is located. Understandably, the first display area A1 and the second display area A2 may not be adjacent to each other, and may be set arbitrarily. In this embodiment, the adjacent settings of the first display area A1 and the second display area A2 can facilitate the user to intuitively view the regularity evaluation information and combine the pulse wave related information to determine the occurrence regularity of the measurement object based on the pulse wave related information Specific reasons for evaluating information.
请一并参阅图6，为其他实施例中的提示信息的显示示意图，如图6所示，所述提示信息可同时包括例如显示于上述图3的第一显示区域A1的规则性评价信息P1、例如显示于上述图4的第二显示区域A2的脉搏波相关信息P2以及显示于该图6的第三显示区域A3的可执行功能的相关信息P3。显示可执行功能的相关信息P3可以起到对下一步需要执行的相关操作起到提示和指引作用，便于用户获悉和执行下一步需要执行的操作。Please also refer to FIG. 6, which is a schematic diagram of displaying prompt information in other embodiments. As shown in FIG. 6, the prompt information may also include, for example, regularity evaluation information P1 displayed in the first display area A1 of FIG. For example, the pulse wave related information P2 displayed in the second display area A2 of FIG. 4 and the executable function related information P3 displayed in the third display area A3 of FIG. 6. Displaying the relevant information P3 of the executable function can play a role of prompting and guiding the relevant operation to be performed in the next step, so that the user can learn and execute the operation to be performed in the next step.
具体地，如图6所示，当规则性评价信息P1为“不规则脉搏”、“不规则”、“脉搏异常”、“异常”、“脉搏间隔不规则”、“不规则脉率”、“疑似不规则”、“疑似房颤”、“疑似心脏节律不规则”等表示不规则脉搏评价和/或表示不规则心脏节律评价结果时，所述可执行功能的相关信息P3包括：“打印”(例如，打印脉搏波波形)、“预约ECG”、“预约超声”在内的至少一个，以及还可以包括其他功能，例如用户自定义的常用功能。Specifically, as shown in FIG. 6, when the regularity evaluation information P1 is "irregular pulse", "irregular", "abnormal pulse", "abnormal", "irregular pulse interval", "irregular pulse rate", When "suspected irregular", "suspected atrial fibrillation", "suspected irregular heart rhythm", etc. indicate irregular pulse evaluation and/or indicate the evaluation result of irregular heart rhythm, the relevant information P3 of the executable function includes: "print "(For example, print pulse wave waveform), "Schedule ECG", "Schedule ultrasound" at least one, and may also include other functions, such as user-defined common functions.
其中，所述第一显示区域A1、所述第二显示区域A2以及所述第三显示区域A3依次相邻设置。显然，在其他实施例中，也可以为所述第一显示区域A1、所述第三显示区域A3以及所述第二显示区域A2依次相邻设置，只要确保多个区域为相邻设置即可，顺序可以任意调整。如前所述，所述第一显示区域A1、所述第二显示区域A2以及所述第三显示区域A3也可不相邻设置，可以为多个不相邻的区域。Wherein, the first display area A1, the second display area A2, and the third display area A3 are arranged adjacent to each other in order. Obviously, in other embodiments, the first display area A1, the third display area A3, and the second display area A2 may be arranged adjacently in sequence, as long as it is ensured that multiple areas are arranged adjacently. , The order can be adjusted arbitrarily. As mentioned above, the first display area A1, the second display area A2, and the third display area A3 may also be arranged non-adjacently, and may be multiple non-adjacent areas.
从而，本申请中，当存在至少两个显示区域时，所述至少两个显示区域相邻位于显示屏上的。可以理解地，将至少两个显示区域相邻设置在显示屏上是为了方便用户查看规则性评价信息、脉搏波相关信息和可执行功能的相关的信息。在本申请的其他实施例中，显示区域可以不相邻设置。Therefore, in the present application, when there are at least two display areas, the at least two display areas are adjacently located on the display screen. Understandably, the at least two display areas are arranged adjacently on the display screen to facilitate the user to view the regularity evaluation information, pulse wave related information, and executable function related information. In other embodiments of the present application, the display areas may not be arranged adjacently.
请参阅图7，图7为其他实施例中的提示信息的显示示意图。在监护设备200的显示屏上显示有多个生命体征数据项区域，来分别显示不同的生命体征测量参数。具体地，各个生命体征数据项区域分别显示有无创血压NIBP的测量参数为120/80(mmHg)、血氧SPO2的测量参数为98(％)，脉搏的测量参数为64(bpm)，体温的测量参数为102.5(F)，呼吸的测量参数为20BPM。如图7所示，第一显示区域P1和第二显示区域P2不相邻。在本实施例中，显示屏还包括触控区域T，用于收起或展开第二显示区域P2以对应地隐藏或显示脉搏波相关信息A2。请一并参阅图8，图8中，只在第一显示区域P1显示规则性评价信息A1，便于用户关注规则性评价信息A1，第二显示区域P2收起，脉搏波相关信息 A2隐藏。这种设置方式下，第一显示区域P1设置在脉搏测量参数旁，方便用户在观察脉搏测量参数时一并确认规则性评价信息，触控区域T的设置使得用户可以根据实际需要选择查看或隐藏脉搏波相关信息，当脉搏波相关信息隐藏时，显示屏界面整洁美观；当用户规则性评价信息A1提示“不规则”或者用户因其他原因需要查看脉搏波相关信息A2时，可以通过点击触控区域T，展开第二显示区域P2进行查看。Please refer to FIG. 7, which is a schematic diagram of displaying prompt information in other embodiments. A plurality of vital sign data item areas are displayed on the display screen of the monitoring device 200 to display different vital sign measurement parameters respectively. Specifically, the area of each vital sign data item shows whether the measurement parameter of non-invasive blood pressure NIBP is 120/80 (mmHg), the measurement parameter of blood oxygen SPO2 is 98 (%), the measurement parameter of pulse is 64 (bpm), and the measurement parameter of body temperature is The measurement parameter is 102.5 (F), and the measurement parameter of respiration is 20 BPM. As shown in FIG. 7, the first display area P1 and the second display area P2 are not adjacent. In this embodiment, the display screen further includes a touch area T for retracting or expanding the second display area P2 to hide or display the pulse wave related information A2 accordingly. Please refer to FIG. 8 together. In FIG. 8, only the regularity evaluation information A1 is displayed in the first display area P1, so that the user can pay attention to the regularity evaluation information A1, the second display area P2 is retracted, and the pulse wave related information A2 is hidden. In this setting mode, the first display area P1 is set next to the pulse measurement parameters, which is convenient for the user to confirm the regularity evaluation information when observing the pulse measurement parameters. The setting of the touch area T allows the user to choose to view or hide according to actual needs Pulse wave related information. When the pulse wave related information is hidden, the display interface is neat and beautiful; when the user's regular evaluation information A1 prompts "irregular" or the user needs to view the pulse wave related information A2 for other reasons, you can click to touch Area T, expand the second display area P2 for viewing.
其中，所述包括所述规则性评价信息、脉搏波相关信息以及可执行功能的相关信息提示信息中至少之一的提示信息还可以通过弹窗方式显示在当前界面上，或为从当前界面切换到一提示界面后，显示于所述提示界面中。Wherein, the prompt information including at least one of the regularity evaluation information, pulse wave related information, and executable function related information prompt information can also be displayed on the current interface in a pop-up window, or switch from the current interface After reaching a prompt interface, it is displayed in the prompt interface.
其中，在一些实施例中，所述规则性评价信息至少通过以下形式之一的方式显示：文字、图案、光。Wherein, in some embodiments, the regularity evaluation information is displayed in at least one of the following forms: text, pattern, and light.
在一些实施例中，当提示信息为弹窗显示且包括所述规则性评价信息、脉搏波相关信息以及可执行功能的相关信息提示信息中的至少两个时，所述规则性评价信息、脉搏波相关信息以及可执行功能的相关信息提示信息中的至少两个可显示于相同的窗口中，也可以显示于不同的窗口中。即，所述第一显示区域A1、所述二显示区域A2以及所述第三显示区域A3中的至少两个可位于相同的窗口中，也可以位于不同的窗口中。In some embodiments, when the prompt information is displayed in a pop-up window and includes at least two of the regularity evaluation information, pulse wave related information, and executable function related information, the regularity evaluation information, pulse wave At least two of the wave-related information and the relevant information prompt information of the executable function may be displayed in the same window, or may be displayed in different windows. That is, at least two of the first display area A1, the second display area A2, and the third display area A3 may be located in the same window, or may be located in different windows.
例如，如图3所示，所述规则性评价信息可同时包括文字和图案：“疑似不规则脉搏
Figure PCTCN2019098456-appb-000001
”。显然，所述显示屏上还可设置指示灯，还可通过所述指示灯发出的光来指示规则性评价信息，例如，当发出红光时，指示“不规则”，当发出绿光时，指示“规则”，其中，所述指示灯可为硬件指示灯，也可为显示屏上显示的虚拟灯。 For example, as shown in Figure 3, the regularity evaluation information may include both text and patterns: "Suspected irregular pulse
Figure PCTCN2019098456-appb-000001
Obviously, an indicator light can also be provided on the display, and the regularity evaluation information can also be indicated by the light emitted by the indicator light. For example, when a red light is emitted, it indicates "irregularity", and when a green light is emitted When the time, it indicates “rules”, where the indicator light can be a hardware indicator light or a virtual light displayed on the display screen.
如图4-6所述，所述第二显示区域A2还包括第一子显示区域A21，所述脉搏波相关信息包括显示在第一子显示区域内的一段时间内的脉搏波波形。所述脉搏波波形为步骤S22中根据所述周期性生理信号中提取出与所述测量对象相关的脉搏波信号得出的对应的脉搏波波形。通过将脉搏波波形进行显示，可直观显示脉搏的搏动情况。As shown in FIGS. 4-6, the second display area A2 further includes a first sub display area A21, and the pulse wave related information includes pulse wave waveforms displayed in the first sub display area for a period of time. The pulse wave waveform is a corresponding pulse wave waveform obtained by extracting a pulse wave signal related to the measurement object from the periodic physiological signal in step S22. By displaying the pulse wave waveform, the pulsation of the pulse can be visually displayed.
如图4-6所示，所述第二显示区域A2包括第二子显示区域A22，所述脉搏波相关信息还包括节律量化参数值，所述节律量化参数值包括显示在第二子显示区域A22的特征值和/或一时间段内特征值的统计分析数据和/或包括变异度阈值、变异次数阈值在内的至少一个阈值。其中，所述统计分析数据包括所述特征值的最值、比值、加和、积分、差值、均值、标准差、最大间隔期、最小间隔期、显示变异度、变异次数、最大脉率值、最小脉率值中的至少一种数据；所述特征值包括：脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度中的至少一种。即，所述节律量化参数值还可包括直接根据所述脉搏波信号获取的表征脉搏波的波动节律的特征值，和/或，对该些特征值进行统计分析后得出的统计分析数据，以及预设阈值，例如，变异度阈值，变一次输阈值等。。As shown in FIGS. 4-6, the second display area A2 includes a second sub display area A22, the pulse wave related information also includes rhythm quantization parameter values, and the rhythm quantization parameter values include displayed in the second sub display area The characteristic value of A22 and/or the statistical analysis data of the characteristic value in a period of time and/or at least one threshold including the threshold of the degree of variation and the threshold of the number of times of variation. Wherein, the statistical analysis data includes the maximum value, ratio, sum, integral, difference, mean, standard deviation, maximum interval, minimum interval, display variability, number of variations, and maximum pulse rate of the characteristic value At least one of the minimum pulse rate values; the characteristic value includes: at least one of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, and pulse width. That is, the rhythm quantization parameter value may also include the characteristic values representing the fluctuation rhythm of the pulse wave obtained directly from the pulse wave signal, and/or statistical analysis data obtained after statistical analysis of these characteristic values, And preset thresholds, for example, the variability threshold, the one-time input threshold and so on. .
如图4-6所示，所述第一子显示区域A21和所述第二子显示区域A22相邻设置。其中，第一子显示区域A21和所述第二子显示区域A22的具***置关系不限，例如，如图4所示，所述第二子显示区域A22在上方，或者，如图5-6所示，可为第一子显示区域A21在上方。As shown in FIGS. 4-6, the first sub-display area A21 and the second sub-display area A22 are adjacently arranged. The specific positional relationship between the first sub-display area A21 and the second sub-display area A22 is not limited. For example, as shown in FIG. 4, the second sub-display area A22 is on the upper side, or as shown in FIG. 5-6 As shown, the first sub-display area A21 may be at the top.
在一些实施例中，所述可执行功能的相关信息包括可执行功能的指引信息和/或可执行功能的功能图标。In some embodiments, the information related to the executable function includes guide information of the executable function and/or function icon of the executable function.
其中，所述可执行功能的指引信息用于在该监护设备200输出提示信息后，告知用户可通过监护设备200进行的可执行功能，该指引信息可为文字或图案，用于引导用户了解监护设备200所具有的可执行功能以及如何触发该些可执行功能。Wherein, the guide information of the executable function is used to inform the user of the executable function that can be performed by the monitoring device 200 after the monitoring device 200 outputs the prompt information. The guide information can be text or pattern to guide the user to understand the monitoring The executable functions of the device 200 and how to trigger the executable functions.
如图6所示，所述可执行功能的相关信息还可直接包括可执行功能的功能图标B1，从而，通过更直接的方式显示每个可执行功能的功能图标B1，而供用户操作而触发相应的可执行功能。As shown in FIG. 6, the relevant information of the executable function may also directly include the function icon B1 of the executable function, so that the function icon B1 of each executable function is displayed in a more direct manner, and the function icon B1 of each executable function is displayed for user operation to trigger The corresponding executable function.
因此，所述评价方法还可包括：响应对所述功能图标B1的触发操作，控制执行所述功 能图标B1对应的功能。Therefore, the evaluation method may further include: in response to a trigger operation on the function icon B1, controlling to execute the function corresponding to the function icon B1.
如图6所示，所述可执行功能包括打印脉搏波波形、预约ECG检查、预约超声检查在内的至少一个，以及还可以包括其他功能，例如用户自定义的常用功能。相应的，所述功能图标B1可包括脉搏波波形的打印功能图标、预约ECG检查功能图标、预约超声检查功能图标在内的至少一个功能图标。As shown in FIG. 6, the executable functions include at least one of printing pulse wave waveforms, scheduling ECG examinations, and scheduling ultrasound examinations, and may also include other functions, such as user-defined common functions. Correspondingly, the function icon B1 may include at least one function icon including a pulse wave waveform printing function icon, a scheduled ECG examination function icon, and an scheduled ultrasound examination function icon.
如前所述，所述规则性评价信息的类型包括用于表示规则或不规则的脉搏搏动和/或心脏节律的评价结果，在一些实施例中，所述方法还包括：在所述规则性评价信息为不规则时，输出报警信息。As mentioned above, the type of regularity evaluation information includes an evaluation result used to indicate regular or irregular pulse and/or heart rhythm. In some embodiments, the method further includes: When the evaluation information is irregular, output alarm information.
其中，所述报警信息的表现形式包括文字、图案、光、声音、振动中的至少一种。Wherein, the presentation form of the alarm information includes at least one of text, pattern, light, sound, and vibration.
其中，所述文字、图案可通过监护设备200的显示屏输出，所述光可通过监护设备200的显示屏或指示灯输出，所述声音可通过监护设备200的扬声器输出，所述振动可通过监护设备200的振动器产生。Wherein, the text and pattern may be output through the display screen of the monitoring device 200, the light may be output through the display screen or indicator light of the monitoring device 200, the sound may be output through the speaker of the monitoring device 200, and the vibration may be output through The vibrator of the monitoring device 200 is generated.
在一些实施例中，所述在所述规则性评价信息为不规则时，输出报警信息，包括：根据获取的特征值确定报警档位，控制输出相应报警档位的报警信息，其中，所述报警档位包括至少两个档位。In some embodiments, when the regularity evaluation information is irregular, outputting alarm information includes: determining an alarm gear according to the acquired characteristic value, and controlling the output of the alarm information of the corresponding alarm gear, wherein the The alarm gear includes at least two gears.
具体的，所述根据获取的特征值确定报警档位，可包括：将获取的特征值与多个参考值进行比较，确定特征值所处于的特征值区间，根据确定出的特征值区间以及特征值区间与报警档位的对应关系，确定对应的报警档位。Specifically, the determining the alarm gear according to the acquired characteristic value may include: comparing the acquired characteristic value with multiple reference values, determining the characteristic value interval in which the characteristic value is located, and determining the characteristic value interval according to the determined characteristic value interval and the characteristic Correspondence between the value interval and the alarm gear to determine the corresponding alarm gear.
例如，当获取的特征值为时域特征值中的斜率时，当所述斜率为大于等于第一斜率且小于第二斜率时，确定对应的报警档位为第一报警档位，并控制发出绿光或者较小分贝的声音报警信息；当所述斜率大于等于第二斜率且小于第三斜率时，确定对应的报警档位为第二报警档位，并控制发出橙光或者中等分贝的声音报警信息；当所述斜率大于等于第三斜率时，确定对应的报警档位为第三报警档位，并控制发出红光或者最高分贝的声音报警信息。For example, when the acquired characteristic value is the slope in the time domain characteristic value, when the slope is greater than or equal to the first slope and less than the second slope, the corresponding alarm gear is determined to be the first alarm gear, and the control is issued Green light or audible alarm information with a lower decibel; when the slope is greater than or equal to the second slope and less than the third slope, determine the corresponding alarm gear as the second alarm gear, and control to emit orange light or a medium-decibel sound Alarm information; when the slope is greater than or equal to the third slope, the corresponding alarm gear is determined to be the third alarm gear, and the red light or the highest decibel sound alarm information is controlled to be emitted.
其中，所述第一斜率小于所述第二斜率，所述第二斜率小于所述第三斜率。Wherein, the first slope is smaller than the second slope, and the second slope is smaller than the third slope.
其中，所述第一报警档位小于第二报警档位，所述第二报警档位小于第三报警档位。Wherein, the first alarm gear is smaller than the second alarm gear, and the second alarm gear is smaller than the third alarm gear.
其中，所述报警档位的数量可为2个、3个、4个等任意合适的值。Wherein, the number of the alarm gears can be any suitable value such as 2, 3, 4, etc.
所述特征值区间与报警档位的对应关系可为预先存储的对应关系表、对应关系曲线等。The corresponding relationship between the characteristic value interval and the alarm gear can be a pre-stored corresponding relationship table, a corresponding relationship curve, and the like.
在一些实施例中，所述方法还包括步骤：响应用户输入的结果更改操作或确认操作，对所述为用于表示规则或不规则的规则性评价信息的进行更改或确认。In some embodiments, the method further includes the step of changing or confirming the regularity evaluation information that is used to indicate rules or irregularities in response to a result change operation or confirmation operation input by the user.
请参阅图9，为一实施例中的显示有提示信息的界面示意图。如图9所示，所述提示信息可为弹窗方式显示于某一界面上，所述提示信息包括详细信息区Z1以及判断区Z2，所述详细信息区Z1显示有详细信息供用户进行判断是否规则，所述判断区Z2包括“规则”、“不规则”的选项，所述“规则”、“不规则”的选项用于供用户选择而得出所述规则性评价信息。其中，所述详细信息包括：脉搏波波形(图中的“pleth”区域)、脉搏标识、脉搏间期测量值、、最大间隔期、最小间隔期，显示变异度等信息。在本申请的一些实施例中，详细信息的内容与提示信息的内容完全不重叠，详细信息给出比提示信息更多的信息。可以理解地，在本申请的另一些实施例中，详细信息包含的内容也可以和提示信息的包含的内容部分一致或完全一致。Please refer to FIG. 9, which is a schematic diagram of an interface displaying prompt information in an embodiment. As shown in Figure 9, the prompt information can be displayed on an interface in a pop-up window. The prompt information includes a detailed information area Z1 and a judgment area Z2. The detailed information area Z1 displays detailed information for the user to make judgments. Whether it is a rule or not, the judgment zone Z2 includes options of "rule" and "irregular", and the options of "rule" and "irregular" are used for the user to select to obtain the regularity evaluation information. Wherein, the detailed information includes: pulse wave waveform ("pleth" area in the figure), pulse identifier, pulse interval measurement value, maximum interval, minimum interval, display variability and other information. In some embodiments of the present application, the content of the detailed information does not overlap with the content of the prompt information at all, and the detailed information gives more information than the prompt information. Understandably, in other embodiments of the present application, the content contained in the detailed information may also be partially or completely consistent with the content contained in the prompt information.
例如，响应对“规则”选项的选择操作而确定规则性评价信息为规则，或者响应对“不规则”选项的选择操作而确认规则性评价信息为不规则。For example, in response to the selection operation of the "rule" option, the regularity evaluation information is determined to be a rule, or in response to the selection operation of the "irregular" option, the regularity evaluation information is confirmed to be irregular.
其中，所述界面可为监护结果界面、***界面等界面。Wherein, the interface may be an interface such as a monitoring result interface, a system interface, etc.
请参阅图10，为另一实施例中的显示有提示信息的界面示意图。如图10所示，所述提示信息包括显示于监护设备200的某一界面上“规则”、“不规则”选择框。所述“规则”、“不 规则”的选项用于供用户选择而确认或更改所述规则性评价信息。Please refer to FIG. 10, which is a schematic diagram of an interface displaying prompt information in another embodiment. As shown in FIG. 10, the prompt information includes "rule" and "irregular" selection boxes displayed on an interface of the monitoring device 200. The options of "rule" and "irregular" are used for the user to choose to confirm or change the regular evaluation information.
即，如图10所示，通过当前选择的“规则”选择框S1、“不规则”选择框S2提示当前的规则性评价信息，并可通过响应用户对“规则”选择框S1或“不规则”选择框S2的选择，而更改规则性评价信息。That is, as shown in FIG. 10, the current regularity evaluation information is prompted through the currently selected "rule" selection box S1 and "irregular" selection box S2, and the user can respond to the user's response to the "rule" selection box S1 or "irregular "Select box S2 to change the regular evaluation information.
在另一实施例中，所述整个界面可为提示信息界面。In another embodiment, the entire interface may be a prompt information interface.
如图10所示，所述提示信息还包括界面提供操作接口，用于供用户调出详细信息辅助用户判断，所述详细信息包括：脉搏波波形(图中的“pleth”区域)、脉搏标识、脉搏间期测量值、最大脉搏间期、最小脉搏间期、脉搏间期变异度等信息，或者还进一步包括变异度阈值、变异次数、变异次数阈值、最大脉率、最小脉率等信息。As shown in Figure 10, the prompt information also includes an interface to provide an operation interface for the user to call up detailed information to assist the user in judgment. The detailed information includes: pulse wave waveform ("pleth" area in the figure), pulse identifier , Pulse interval measurement value, maximum pulse interval, minimum pulse interval, pulse interval variability and other information, or further including variability threshold, number of mutations, threshold of number of mutations, maximum pulse rate, minimum pulse rate and other information.
在一些实施例中，所述步骤S22-S23可均执行于所述监护设备200中，即，“从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号”、“根据所述脉搏波信号，分析得到规则性评价信息”等处理过程均可为监护设备200来执行。In some embodiments, the steps S22-S23 can all be performed in the monitoring device 200, that is, "extract the pulse wave signal related to the measurement object from the periodic physiological signal", "according to all The processing processes such as "describe the pulse wave signal and analyze the regularity evaluation information" can be executed by the monitoring device 200.
在一些实施例中，在根据规则性评价信息输出提示信息之前，所述方法还包括：根据规则性评价信息确定要显示的提示信息。In some embodiments, before outputting the prompt information according to the regularity evaluation information, the method further includes: determining the prompt information to be displayed according to the regularity evaluation information.
例如，在规则性评价信息为规则时，确定要显示的提示信息的中的规则性评价信息为“规则”等文字或图案，在规则性评价信息为不规则时，确定要显示的提示信息的中的规则性评价信息为“不规则”等文字或图案。For example, when the regularity evaluation information is a rule, it is determined that the regularity evaluation information in the prompt information to be displayed is a text or pattern such as "rules", and when the regularity evaluation information is irregular, the prompt information to be displayed is determined The regularity evaluation information in is “irregular” and other characters or patterns.
在一些实施例中，所述方法还包括步骤：将提示信息发送给科室级工作站设备和/或院级数据中心/院级急救中心管理设备等监护管理设备300，通过所述科室级工作站设备和/或院级数据中心/院级急救中心管理设备输出所述提示信息。In some embodiments, the method further includes the step of sending prompt information to monitoring management equipment 300 such as department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment, through the department-level workstation equipment and /Or the hospital-level data center/hospital-level emergency center management equipment outputs the prompt information.
其中，当所述监护设备200为移动监护设备201时，上述步骤还可为：将所述提示信息发送给床边监护设备202、科室级工作站设备和/或院级数据中心/院级急救中心管理设备等监护管理设备300，通过所述床边监护设备202、科室级工作站设备和/或院级数据中心/院级急救中心管理设备输出所述提示信息。Wherein, when the monitoring device 200 is a mobile monitoring device 201, the above steps may also be: sending the prompt information to the bedside monitoring device 202, department-level workstation equipment, and/or hospital-level data center/hospital-level emergency center The monitoring management equipment 300 such as management equipment outputs the prompt information through the bedside monitoring equipment 202, department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment.
即，当所述监护设备200为移动监护设备201时，还可将提示信息发送给床边监护设备202进行显示输出。That is, when the monitoring device 200 is a mobile monitoring device 201, the prompt information can also be sent to the bedside monitoring device 202 for display output.
其中，由监护设备200以及所述科室级工作站设备和/或院级数据中心/院级急救中心管理设备等监护管理设备300均可输出提示信息，或仅由监护设备200和监护管理设备300中的一种输出提示信息。Wherein, the monitoring equipment 200 and the monitoring management equipment 300 such as the department-level workstation equipment and/or the hospital-level data center/hospital-level emergency center management equipment can output prompt information, or only the monitoring equipment 200 and the monitoring management equipment 300 A kind of output prompt information.
在其他实施例中，所述步骤S22-S23还可均执行于所述监护管理设备300中，即，“从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号”、“根据所述脉搏波信号，分析得到规则性评价信息”等，还可执行于科室级工作站设备和/或院级数据中心/院级急救中心管理设备中。In other embodiments, the steps S22-S23 may all be executed in the monitoring management device 300, that is, "extract the pulse wave signal related to the measurement object from the periodic physiological signal", " According to the pulse wave signal, the regularity evaluation information is obtained by analysis, etc., which can also be executed in department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment.
所述方法还包括：将所述周期性生理信号发送给科室级工作站设备和/或院级数据中心/院级急救中心管理设备，通过科室级工作站设备和/或院级数据中心/院级急救中心管理设备进行“从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号”、“根据所述脉搏波信号，分析得到规则性评价信息”等处理操作而得到规则性评价信息。The method further includes: sending the periodic physiological signal to department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment, through department-level workstation equipment and/or hospital-level data center/hospital-level emergency management equipment The central management equipment performs processing operations such as "extracting the pulse wave signal related to the measurement object from the periodic physiological signal", "analyzing the pulse wave signal to obtain the regularity evaluation information", etc. to obtain the regularity evaluation information .
在一些实施例中，所述根据规则性评价信息输出提示信息还包括：从科室级工作站设备和/或院级数据中心/院级急救中心管理设备接收规则性评价信息，并根据接收到的规则性评价信息输出提示信息。In some embodiments, the output of prompt information according to the regularity evaluation information further includes: receiving regularity evaluation information from department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment, and according to the received rules Sexual evaluation information output prompt information.
显然，当所述监护设备200为移动监护设备201时，可为将所述周期性生理信号发送给床边监护设备202、科室级工作站设备和/或院级数据中心/院级急救中心管理设备等，通过床边监护设备202、科室级工作站设备和/或院级数据中心/院级急救中心管理设备等进行处理操作而得到规则性评价信息；以及从床边监护设备202、科室级工作站设备和/或院级 数据中心/院级急救中心管理设备接收规则性评价信息，并根据接收到的规则性评价信息输出提示信息。Obviously, when the monitoring device 200 is a mobile monitoring device 201, it may be sending the periodic physiological signals to the bedside monitoring device 202, department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment Etc., through the bedside monitoring equipment 202, department-level workstation equipment, and/or hospital-level data center/hospital-level emergency center management equipment, etc., to obtain regular evaluation information; and from the bedside monitoring equipment 202, department-level workstation equipment And/or hospital-level data center/hospital-level emergency center management equipment receives regular evaluation information, and outputs prompt information based on the received regular evaluation information.
在进一步的实施例中，所述提示信息也可为科室级工作站设备和/或院级数据中心/院级急救中心管理设备确定出后，再发送给所述监护设备200进行显示输出。In a further embodiment, the prompt information may also be determined by department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment, and then sent to the monitoring device 200 for display output.
从而，本申请中的方法可执行于监护设备200这一个设备中，还可执行于监护***100中的多个不同的设备中。Therefore, the method in this application can be executed in one device of the monitoring device 200, and can also be executed in multiple different devices in the monitoring system 100.
在一些实施例中，所述传感器包括光电传感器、压力传感器、电磁传感器、声音传感器以及加速度传感器中的至少一种。所述光电传感器可包括血氧传感器，所述压力传感器可包括血压传感器等侦测脉搏搏动产生的压力变化的传感器。更具体的内容可参见后续关于监护设备的描述。In some embodiments, the sensor includes at least one of a photoelectric sensor, a pressure sensor, an electromagnetic sensor, a sound sensor, and an acceleration sensor. The photoelectric sensor may include a blood oxygen sensor, and the pressure sensor may include a blood pressure sensor and other sensors that detect pressure changes caused by pulse pulsation. For more specific content, please refer to the subsequent description of the monitoring device.
请参阅图11，为图2所示的评价方法中的质量评价过程的流程图。如图2所示，所述质量评价过程包括如下步骤：Please refer to FIG. 11, which is a flowchart of the quality evaluation process in the evaluation method shown in FIG. 2. As shown in Figure 2, the quality evaluation process includes the following steps:
在从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号后，对脉搏波信号进行质量分析得到质量评价值(S111)。其中，所述质量评价值可为前述的质量因子。After extracting the pulse wave signal related to the measurement object from the periodic physiological signal, the quality of the pulse wave signal is analyzed to obtain a quality evaluation value (S111). Wherein, the quality evaluation value may be the aforementioned quality factor.
将质量评价值与一预设阈值进行比较(S112)。其中，当确定所述质量评价值小于预设阈值时，执行步骤S113，当确定所述质量评价值大于等于预设阈值时，执行步骤S114。The quality evaluation value is compared with a preset threshold (S112). Wherein, when it is determined that the quality evaluation value is less than the preset threshold, step S113 is executed, and when it is determined that the quality evaluation value is greater than or equal to the preset threshold, step S114 is executed.
不进行后续的规则性评价信息的分析步骤或者不输出提示信息或者不进行后续的规则性评价信息的分析步骤的情况下直接输出提示信息(S113)。If the subsequent analysis step of the regularity evaluation information is not performed or the prompt information is not output, or the subsequent analysis step of the regularity evaluation information is not performed, the prompt information is directly output (S113).
进行后续的规则性评价信息的分析步骤(S114)。The subsequent analysis step of the regularity evaluation information (S114) is performed.
其中，所述“后续的规则性评价信息的分析步骤”可包括前述的“根据所述脉搏波信号获取表征脉搏波的波动节律的特征值”以及“分析所述特征值得到规则性评价信息”在内的步骤。Wherein, the "subsequent analysis step of regularity evaluation information" may include the aforementioned "obtaining characteristic values that characterize the fluctuation rhythm of the pulse wave according to the pulse wave signal" and "analyzing the characteristic values to obtain regularity evaluation information" Within the steps.
在一些实施例中，所述对脉搏波信号进行质量分析得到质量评价值，可包括：采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述脉搏波信号进行特征提取而获取至少一个特征值；以及根据所述至少一个特征值得到质量评价值。In some embodiments, the performing quality analysis on the pulse wave signal to obtain the quality evaluation value may include: using at least one of the time domain technology, frequency domain technology, and nonlinear dynamics technology to analyze the pulse wave signal Performing feature extraction to obtain at least one feature value; and obtaining a quality evaluation value based on the at least one feature value.
其中，所述采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述脉搏波信号进行特征提取而获取至少一个特征值可包括：采用时域技术、频域技术以及非线性动力学技术中的其中一种分析技术对所述脉搏波信号进行特征提取而获取至少一个特征值。Wherein, the use of at least one analysis technology of time domain technology, frequency domain technology, and nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least one feature value may include: using time domain technology, frequency domain technology One of the analysis techniques in the technology and the nonlinear dynamics technology performs feature extraction on the pulse wave signal to obtain at least one feature value.
所述采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述脉搏波信号进行特征提取而获取至少一个特征值也可包括：采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述脉搏波信号进行特征提取而获取至少两类特征值，根据两类特征值以及每类特征值的权重值得出最终的特征值。The use of at least one analysis technique of time domain technology, frequency domain technology, and nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least one feature value may also include: using time domain technology or frequency domain technology And at least one analysis technique in the nonlinear dynamics technology performs feature extraction on the pulse wave signal to obtain at least two types of feature values, and obtain a final feature value based on the two types of feature values and the weight of each type of feature value.
具体请参考前述的相关描述。For details, please refer to the aforementioned description.
在一些实施例中，所述步骤113中的“不进行后续的规则性评价信息的分析步骤的情况下直接输出提示信息”指的是不基于规则评价信息来输出提示信息。在一实施例中，提示信息包括脉搏波相关信息，即直接输出脉搏波相关信息，其中，脉搏波相关信息包括脉搏波波形和节律量化参数值。In some embodiments, the “output prompt information directly without performing the subsequent analysis step of regularity evaluation information” in the step 113 refers to outputting the prompt information based on the rule evaluation information. In one embodiment, the prompt information includes pulse wave related information, that is, pulse wave related information is directly output, where the pulse wave related information includes pulse wave waveform and rhythm quantization parameter values.
在一实施例中，提示信息仅包括脉搏波相关信息中的脉搏波波形。进一步地，在显示仅包括脉搏波波形的提示信息后，所述方法还包括：接收输入的指令执行步骤“根据所述脉搏波信号获取表征脉搏波的波动节律的特征值”，并根据所述特征值输出节律量化参数值。节律量化参数值如前所述，例如包括脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度等，在此不再赘述。In one embodiment, the prompt information only includes the pulse wave waveform in the pulse wave related information. Further, after displaying the prompt information that only includes the pulse wave waveform, the method further includes: receiving an input instruction and executing the step of "obtaining a characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal", and according to the The characteristic value outputs the rhythm quantization parameter value. Rhythm quantization parameter values are as described above, for example, include pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, pulse width, etc., which will not be repeated here.
从而，当医生等用户看到脉搏波波形后，如果想进一步看到相关的节律量化参数值， 还可输入指令触发监护设备执行步骤“根据所述脉搏波信号获取表征脉搏波的波动节律的特征值”，而得到包括脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度等特征值的参数，而能够得到进一步的信息，来辅助医生通过人工判断得出规则性评价分析。Therefore, after doctors and other users see the pulse wave waveform, if they want to further see the relevant rhythm quantification parameter values, they can also input instructions to trigger the monitoring device to perform the step "Acquire the characteristics of the pulse wave fluctuation rhythm according to the pulse wave signal. Value", and obtain parameters including characteristic values such as pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, pulse width, etc., and can obtain further information to assist doctors in obtaining regularity evaluation analysis through manual judgment.
在一些实施例中，所述步骤S114“进行后续的规则性评价信息的分析步骤”还可包括：根据质量评价值确定所述特征值的权重值以及所述质量质量评价值的权重值；根据所述特征值的权重值以及所述质量评价值的权重值对所述特征值和所述质量评价值进行加权计算得到加权特征值；根据加权特征值进行分析，得到所述规则性评价信息。In some embodiments, the step S114 "performing the subsequent step of analyzing regularity evaluation information" may further include: determining the weight value of the characteristic value and the weight value of the quality quality evaluation value according to the quality evaluation value; The weight value of the characteristic value and the weight value of the quality evaluation value perform weighted calculation on the characteristic value and the quality evaluation value to obtain a weighted characteristic value; and analyze according to the weighted characteristic value to obtain the regularity evaluation information.
在一些实施例中，所述步骤S114“进行后续的规则性评价信息的分析步骤”还可包括：将所述质量评价值映射为所述获取出的特征值的质量因子系数；将所述特征值和质量因子系数计算得到校正特征值；根据所述校正特征值进行分析，得到所述规则性评价信息。In some embodiments, the step S114 "performing the subsequent step of analyzing the regularity evaluation information" may further include: mapping the quality evaluation value to the quality factor coefficient of the acquired characteristic value; The value and the quality factor coefficient are calculated to obtain the corrected characteristic value; the analysis is performed according to the corrected characteristic value to obtain the regularity evaluation information.
请参阅图12，为本申请另一实施例中的规则性评价信息的评价方法的流程图。所述评价方法可以应用于前述的监护***100或监护设备200中，其中，监护***100或监护设备200包括第一传感器和至少一个第二传感器，所述第一传感器为非心电传感器。所述方法包括：Please refer to FIG. 12, which is a flowchart of a method for evaluating regularity evaluation information in another embodiment of this application. The evaluation method can be applied to the aforementioned monitoring system 100 or monitoring device 200, where the monitoring system 100 or the monitoring device 200 includes a first sensor and at least one second sensor, and the first sensor is a non-cardiac sensor. The method includes:
通过第一传感器获取测量对象的周期性生理信号，其中，所述第一传感器为非心电传感器(S121)。The periodic physiological signal of the measurement object is acquired by the first sensor, where the first sensor is a non-cardiograph sensor (S121).
通过至少一个第二传感器获取人体的其他生理体征信号(S122)。Obtain other physiological signs of the human body through at least one second sensor (S122).
从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号(S123)。A pulse wave signal related to the measurement object is extracted from the periodic physiological signal (S123).
根据所述脉搏波信号以及所述其他生理体征信号得到规则性评价信息(S124)。Obtain regularity evaluation information according to the pulse wave signal and the other physiological sign signals (S124).
即，在另一实施例中，为通过结合多个传感器分别得到的脉搏波信号和其他生理体征信号来得到规则性评价信息。That is, in another embodiment, the regularity evaluation information is obtained by combining the pulse wave signal and other physiological sign signals respectively obtained by multiple sensors.
请参阅图13，为图12所示的规则性评价信息的评价方法的进一步的流程图。在进一步的实施例中，所述方法包括：Please refer to FIG. 13, which is a further flowchart of the evaluation method of regularity evaluation information shown in FIG. 12. In a further embodiment, the method includes:
通过第一传感器获取测量对象的周期性生理信号，其中，所述第一传感器为非心电传感器(S131)。The periodic physiological signal of the measuring object is acquired by the first sensor, where the first sensor is a non-cardiograph sensor (S131).
通过至少一个第二传感器获取人体的其他生理体征信号(S132)。Obtain other physiological signs of the human body through at least one second sensor (S132).
从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号(S133)。A pulse wave signal related to the measurement object is extracted from the periodic physiological signal (S133).
在所述脉搏波信号中滤除其他生理体征信号的影响而得到过滤后的脉搏波信号(S134)。The pulse wave signal is filtered out of the influence of other physiological signs to obtain a filtered pulse wave signal (S134).
根据所述过滤后的脉搏波信号获取表征脉搏波的波动节律的特征值(S135)。According to the filtered pulse wave signal, a characteristic value representing the fluctuation rhythm of the pulse wave is obtained (S135).
分析所述特征值得到规则性评价信息(S136)。The characteristic value is analyzed to obtain regularity evaluation information (S136).
即，在进一步的实施例中，图12所示的流程图中的步骤S124可具体包括图13所示的流程图中的步骤S134-S136。That is, in a further embodiment, step S124 in the flowchart shown in FIG. 12 may specifically include steps S134 to S136 in the flowchart shown in FIG. 13.
即，所述“根据所述脉搏波信号以及所述其他生理体征信号得到规则性评价信息”，具体包括了：“在所述脉搏波信号中滤除其他生理体征信号的影响而得到过滤后的脉搏波信号”、“根据所述过滤后的脉搏波信号获取表征脉搏波的波动节律的特征值”、“分析所述特征值得到规则性评价信息”这些步骤。That is, the "obtain regularity evaluation information based on the pulse wave signal and the other physiological sign signals" specifically includes: "filter the influence of other physiological sign signals in the pulse wave signal to obtain the filtered information The steps of "pulse wave signal", "obtaining characteristic values representing the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal", and "analyzing the characteristic values to obtain regularity evaluation information".
在一些实施例中，所述在所述脉搏波信号中滤除其他生理体征信号的影响而得到过滤后的脉搏波信号，包括：根据脉搏波信号得出节律量化参数值以及根据所述其他生理体征信号得到其他生理体征参数值；根据所述节律量化参数值和所述其他生理体征参数值确定过滤方案；根据所述过滤方案在所述脉搏波信号中滤除其他生理体征信号的影响而得到过滤后的脉搏波信号。In some embodiments, the filtering out the influence of other physiological signs signals from the pulse wave signal to obtain the filtered pulse wave signal includes: obtaining the rhythm quantization parameter value according to the pulse wave signal and according to the other physiological signs. The physical sign signal obtains other physiological sign parameter values; the filtering scheme is determined according to the rhythm quantization parameter value and the other physiological sign parameter values; the filtering scheme is obtained by filtering out the influence of other physiological sign signals in the pulse wave signal according to the filtering scheme The filtered pulse wave signal.
其中，所述过滤方案包括选择的过滤器和过滤参数，所述根据所述节律量化参数值和所述其他生理体征信号确定过滤方案包括：根据所述节律量化参数值和所述其他生理体征 参数值的比值或差值确定对应的目标过滤器和目标过滤参数。Wherein, the filtering scheme includes selected filters and filtering parameters, and the determining the filtering scheme according to the rhythm quantization parameter value and the other physiological sign signals includes: according to the rhythm quantization parameter value and the other physiological sign parameters The ratio or difference of the values determines the corresponding target filter and target filter parameter.
显然在其他实施例中，也可以根据所述节律量化参数值和所述其他生理体征参数值的其他关系，例如乘积等等来确定目标过滤器和目标过滤参数(过滤方案)。Obviously, in other embodiments, the target filter and the target filter parameter (filtering scheme) can also be determined according to other relationships between the rhythm quantization parameter value and the other physiological sign parameter value, such as a product.
所述根据所述过滤方案所述脉搏波信号中滤除其他生理体征信号的影响而得到过滤后的脉搏波信号，包括：通过所述目标过滤器以所述目标过滤参数对所述脉搏波信号进行过滤，而得到过滤后的脉搏波信号。The filtering out the influence of other physiological signs from the pulse wave signal according to the filtering scheme to obtain the filtered pulse wave signal includes: applying the target filter parameter to the pulse wave signal After filtering, the filtered pulse wave signal is obtained.
其中，所述滤波器为监护设备200中的硬件滤波器，所述监护设备200包括多个滤波器，且针对每个滤波器均对应有多种滤波参数。The filter is a hardware filter in the monitoring device 200. The monitoring device 200 includes multiple filters, and each filter corresponds to multiple filter parameters.
在一些实施例中，所述根据所述节律量化参数值和所述其他生理体征参数值的比值或差值确定对应的目标过滤器和目标过滤参数，进一步包括：根据预设的比值或差值与过滤方案的对应关系，确定所述节律量化参数值和所述其他生理体征参数值的比值或差值对应的过滤方案；确定过滤方案中的过滤器和过滤参数分别为所述目标过滤器和目标过滤参数。In some embodiments, the determining the corresponding target filter and target filtering parameter according to the ratio or difference between the rhythm quantification parameter value and the other physiological sign parameter value further includes: according to a preset ratio or difference Correspondence with the filtering scheme, determine the filtering scheme corresponding to the ratio or difference between the rhythm quantification parameter value and the other physiological sign parameter value; determine that the filter and filtering parameter in the filtering scheme are the target filter and Target filtering parameters.
其中，所述比值或差值与过滤方案的对应关系可为预存的对应关系表。Wherein, the corresponding relationship between the ratio or difference and the filtering scheme may be a pre-stored corresponding relationship table.
在一些实施例中，所述第二传感器包括呼吸传感器，所述其他生理体征信号包括呼吸信号，所述其他生理体征参数值包括呼吸率，所述节律量化参数值包括脉率值。In some embodiments, the second sensor includes a respiration sensor, the other physiological sign signal includes a respiration signal, the other physiological sign parameter value includes a respiration rate, and the rhythm quantization parameter value includes a pulse rate value.
其中，在从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号之后，所述“根据所述过滤后的脉搏波信号获取表征脉搏波的波动节律的特征值”的具体内容可与图2所示的“根据所述脉搏波信号获取表征脉搏波的波动节律的特征值”实施例相同，仅仅是本申请中基于的是过滤后的脉搏波信号，具体可参考图2的相关描述。Wherein, after extracting the pulse wave signal related to the measurement object from the periodic physiological signal, the specific content of the "acquiring the characteristic value of the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal" It can be the same as the embodiment shown in FIG. 2 of "obtaining characteristic values that characterize the rhythm of the pulse wave according to the pulse wave signal", except that this application is based on the filtered pulse wave signal. For details, please refer to FIG. 2 Related description.
例如，所述根据所述过滤后的脉搏波信号获取表征脉搏波的波动节律的特征值，包括：采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述过滤后的脉搏波信号进行特征提取而得到相应的至少一个特征值。For example, acquiring the characteristic value representing the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal includes: using at least one analysis technology of time domain technology, frequency domain technology and nonlinear dynamics technology to analyze the The filtered pulse wave signal is subjected to feature extraction to obtain at least one corresponding feature value.
所述脉搏波信号根据所述过滤后的脉搏波信号获取表征脉搏波的波动节律的特征值，包括：采用时域技术对过滤后的脉搏波信号进行特征提取而得到至少一个时域特征值。The obtaining of the pulse wave signal from the filtered pulse wave signal a characteristic value representing the fluctuation rhythm of the pulse wave includes: using time domain technology to perform feature extraction on the filtered pulse wave signal to obtain at least one time domain characteristic value.
所述至少一个时域特征值包括脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度中的至少一种。The at least one time domain characteristic value includes at least one of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, and pulse width.
所述根据所述过滤后的脉搏波信号获取表征脉搏波的波动节律的特征值，包括：采用频域技术将过滤后的脉搏波信号转换为频域信号，然后对频域信号进行特征提取而得到至少一个频域特征值。Said obtaining the characteristic value representing the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal includes: using frequency domain technology to convert the filtered pulse wave signal into a frequency domain signal, and then performing feature extraction on the frequency domain signal. Obtain at least one frequency domain feature value.
所述根据所述过滤后的脉搏波信号获取表征脉搏波的波动节律的特征值，包括：采用非线性动力学技术对脉搏波信号进行特征提取而得到至少一个非线性动力学特征值。The acquiring the characteristic value representing the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal includes: using nonlinear dynamics technology to perform characteristic extraction on the pulse wave signal to obtain at least one nonlinear dynamic characteristic value.
所述非线性动力学特征值包括熵值或复杂度。The nonlinear dynamics characteristic value includes entropy or complexity.
其中，所述根据所述过滤后的脉搏波信号获取表征脉搏波的波动节律的特征值，进一步包括：对一时间段或若干个周期的过滤后的脉搏波信号进行特征提取而得到至少两个特征值；所述分析所述特征值得到规则性评价信息，包括：通过统计学分析方法和/或机器学习方法对所述至少两个特征值进行分析，而得到所述规则性评价信息。Wherein, said acquiring the characteristic value representing the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal further includes: performing characteristic extraction on the filtered pulse wave signal for a period of time or several cycles to obtain at least two The characteristic value; the analyzing the characteristic value to obtain the regularity evaluation information includes: analyzing the at least two characteristic values through a statistical analysis method and/or a machine learning method to obtain the regularity evaluation information.
所述通过统计学分析方法和/或机器学习方法对所述至少两个特征值进行分析，而得到所述规则性评价信息，包括：通过统计学分析方法对所述至少两个特征值进行分析，得到统计分析数据，以及根据所述统计分析数据得到所述规则性评价信息；和/或通过机器学习方法，将所述至少两个特征值作为输入，而得出所述规则性评价信息这一输出。The analyzing the at least two characteristic values by a statistical analysis method and/or a machine learning method to obtain the regularity evaluation information includes: analyzing the at least two characteristic values by a statistical analysis method , Obtain statistical analysis data, and obtain the regularity evaluation information according to the statistical analysis data; and/or obtain the regularity evaluation information by using the at least two characteristic values as input through a machine learning method One output.
其中，所述采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述过滤后的脉搏波信号进行特征提取而得到相应的至少一个特征值，还可包括：采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述过滤后的脉搏波信号进行特征提取而获取至少两类特征值，根据两类特征值以及每类特征值的权重值得出最 终的至少一个特征值。Wherein, the use of at least one analysis technology of time domain technology, frequency domain technology and nonlinear dynamics technology to perform feature extraction on the filtered pulse wave signal to obtain the corresponding at least one feature value may further include: At least one analysis technology of time domain technology, frequency domain technology, and nonlinear dynamics technology is used to perform feature extraction on the filtered pulse wave signal to obtain at least two types of feature values, according to the two types of feature values and each type of feature The weight of the value gives the final at least one characteristic value.
其中，所述不同的至少两个特征值包括通过不同的分析技术分析出来的至少两个特征值和/或通过相同的分析技术分析出来的至少两个不同的特征值。Wherein, the at least two different characteristic values include at least two characteristic values analyzed by different analysis techniques and/or at least two different characteristic values analyzed by the same analysis technique.
此外，与图2所示的实施例中的分析方法相同的是，在脉搏波信号根据所述过滤后的脉搏波信号获取表征脉搏波的波动节律的特征值之后，所述方法还包括：将提取出的特征值转换为中间特征值。所述分析所述特征值得到规则性评价信息，包括：基于所述中间特征值进行分析得到规则性评价信息。In addition, the same analysis method as in the embodiment shown in FIG. 2 is that after the pulse wave signal obtains the characteristic value of the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal, the method further includes: The extracted feature values are converted into intermediate feature values. The analyzing the characteristic value to obtain the regularity evaluation information includes: performing analysis based on the intermediate characteristic value to obtain the regularity evaluation information.
其中，所述中间特征值包括脉率值，所述将提取出的特征值转换为中间特征值，包括：将提取出的特征值转换为脉率值。所述基于所述中间特征值进行分析得到规则性评价信息，包括：基于所述脉率值进行分析得到规则性评价信息。Wherein, the intermediate characteristic value includes a pulse rate value, and converting the extracted characteristic value into an intermediate characteristic value includes: converting the extracted characteristic value into a pulse rate value. The analyzing based on the intermediate characteristic value to obtain regularity evaluation information includes: performing analysis based on the pulse rate value to obtain regularity evaluation information.
在一些实施例中，所述中间特征值也可包括脉搏音特征值，所述将提取出的特征值转换为中间特征值，包括：将提取出的特征值转换为脉搏音特征值。所述基于所述中间特征值进行分析得到规则性评价信息，包括：基于所述脉搏音特征值进行分析得到规则性评价信息。In some embodiments, the intermediate feature value may also include a pulse sound feature value, and converting the extracted feature value into an intermediate feature value includes: converting the extracted feature value into a pulse sound feature value. The analyzing based on the intermediate characteristic value to obtain the regularity evaluation information includes: analyzing based on the pulse sound characteristic value to obtain the regularity evaluation information.
其中，所述将提取出的特征值转换为脉搏音特征值包括：根据提取出的特征值确定脉搏的波峰或波谷的到达时刻，在波峰的到达时刻进行波峰或波谷标记；根据波峰或波谷标记生成脉搏音特征值。Wherein, said converting the extracted characteristic value into a pulse sound characteristic value includes: determining the arrival time of the peak or trough of the pulse according to the extracted characteristic value, marking the peak or trough at the arrival time of the peak; marking according to the peak or trough Generate pulse sound characteristic values.
其中，所述基于所述脉搏音特征值进行分析得到规则性评价信息，可进一步包括：对一时间段内或若干个周期的脉搏波信号的波峰或波谷进行标记而得到至少两个波峰标记或波谷标记，得到由至少两个波峰标记或至少两个波谷标记生成的至少两个脉搏音特征值；通过统计学分析和/或机器学习方式对所述至少两个脉搏音特征值进行分析，而得到所述规则性评价信息。Wherein, the analysis based on the characteristic value of the pulse sound to obtain the regularity evaluation information may further include: marking the peaks or troughs of the pulse wave signal in a period of time or several cycles to obtain at least two peak marks or Trough markers to obtain at least two pulse sound characteristic values generated by at least two peak markers or at least two trough markers; the at least two pulse sound characteristic values are analyzed through statistical analysis and/or machine learning, and Obtain the regularity evaluation information.
在一些实施例中，所述方法还包括：根据规则性评价信息输出提示信息。In some embodiments, the method further includes: outputting prompt information according to the regularity evaluation information.
其中，根据规则性评价信息输出提示信息也与图2所示的实施例中的分析方法的相关内容相同，具体可参考图2的相关描述。The output of the prompt information according to the regularity evaluation information is also the same as the related content of the analysis method in the embodiment shown in FIG. 2. For details, please refer to the related description of FIG. 2.
例如，所述提示信息包括脉搏波相关信息、可执行功能的相关信息以及所述规则性评价信息中的至少一种；For example, the prompt information includes at least one of pulse wave related information, executable function related information, and the regularity evaluation information;
其中，所述规则性评价信息的类型包括用于表示规则或不规则的脉搏搏动和/或心脏节律的评价结果，所述脉搏波相关信息包括脉搏波波形和/或节律量化参数值，所述可执行功能为所述规则性评价信息满足预设条件时下一步可执行的功能。其中，所述脉搏波波形为通过脉搏波信号得到的波形图案。Wherein, the type of regularity evaluation information includes an evaluation result used to indicate regular or irregular pulse beats and/or heart rhythms, and the pulse wave-related information includes pulse wave waveforms and/or rhythm quantification parameter values, and The executable function is a function that can be executed in the next step when the regularity evaluation information meets the preset condition. Wherein, the pulse wave waveform is a waveform pattern obtained by a pulse wave signal.
所述节律量化参数值包括脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络在内的至少一个特征值，和/或包括根据至少一个特征值统计分析出的最值、比值、加和、积分、差值、均值、标准差、最大间隔期、最小间隔期，脉搏变异度，变异次数至少之一在内的统计分析数据，和/或包括变异度阈值、变异次数阈值在内的至少一个阈值。The rhythm quantification parameter value includes at least one characteristic value including pulse interval, pulse amplitude, pulse area, pulse slope, and pulse envelope, and/or includes the maximum value, ratio, and sum based on statistical analysis of at least one characteristic value , Integral, difference, mean, standard deviation, maximum interval, minimum interval, pulse variability, statistical analysis data including at least one of the number of mutations, and/or at least one including the threshold of variability and number of mutations A threshold.
其中，所述规则性评价信息至少通过以下形式之一的方式显示：文字、图案、光。Wherein, the regularity evaluation information is displayed in at least one of the following forms: text, pattern, and light.
进一步的，所述规则性评价信息的类型包括用于表示规则或不规则的脉搏搏动和/或心脏节律，所述方法还包括：在所述规则性评价信息为不规则时，输出报警信息。Further, the type of the regularity evaluation information includes a pulse and/or heart rhythm used to indicate regular or irregular, and the method further includes: outputting alarm information when the regularity evaluation information is irregular.
其中，输出报警信息的内容也与图2所示的实施例中的分析方法的相关内容相同，具体可参考图2的相关描述。Wherein, the content of the output alarm information is also the same as the related content of the analysis method in the embodiment shown in FIG. 2, and for details, please refer to the related description of FIG.
例如，所述报警信息的表现形式包括文字、图案、光、声音、振动中的至少一种。For example, the presentation form of the alarm information includes at least one of text, pattern, light, sound, and vibration.
其中，所述在所述规则性评价信息为不规则时，输出报警信息，包括：根据获取的特征值确定报警档位，控制输出相应报警档位的报警信息，其中，所述报警档位包括至少两个档位。Wherein, when the regularity evaluation information is irregular, outputting alarm information includes: determining an alarm gear according to the acquired characteristic value, and controlling the output of the alarm information of the corresponding alarm gear, wherein the alarm gear includes At least two gears.
图13所示的分析方法，与图2所示的分析方法的主要区别在于：图13的分析方法为通过多类传感器来获取信号，并通过在第一传感器获取的周期性生理信号得到的脉搏波信号中滤除至少一个第二传感器获取的生理体征信号后，在对过滤后的脉搏波信号进行分析而得到规则性评价信息，而图2中仅根据一个传感器获得的周期性生理信号得到脉搏波信号，然后进行分析得到规则性评价信息，其他具体的分析步骤相同，可相互参考。The main difference between the analysis method shown in FIG. 13 and the analysis method shown in FIG. 2 is that: the analysis method in FIG. 13 is to obtain signals through multiple types of sensors, and to obtain pulses from periodic physiological signals obtained from the first sensor. After filtering out the physiological sign signal obtained by at least one second sensor from the wave signal, the filtered pulse wave signal is analyzed to obtain the regularity evaluation information. In Figure 2, the pulse wave is obtained only according to the periodic physiological signal obtained by one sensor. The wave signal is then analyzed to obtain regularity evaluation information. Other specific analysis steps are the same and can be referred to each other.
其中，所述第一传感器包括光电传感器、压力传感器、电磁传感器、声音传感器以及加速度传感器中的至少一种。Wherein, the first sensor includes at least one of a photoelectric sensor, a pressure sensor, an electromagnetic sensor, a sound sensor, and an acceleration sensor.
请参阅图14，为图12所示的规则性评价信息的评价方法的另一进一步的流程图。在另一进一步的实施例中，所述方法包括：Please refer to FIG. 14, which is another further flowchart of the method for evaluating regularity evaluation information shown in FIG. 12. In another further embodiment, the method includes:
通过第一传感器获取测量对象的周期性生理信号，其中，所述第一传感器为非心电传感器(S141)。The periodic physiological signal of the measuring object is acquired by the first sensor, where the first sensor is a non-cardiograph sensor (S141).
通过至少一个第二传感器获取人体的其他生理体征信号(S142)。Obtain other physiological signs of the human body through at least one second sensor (S142).
从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号(S143)。A pulse wave signal related to the measurement object is extracted from the periodic physiological signal (S143).
从所述其他生理体征信号中提取生理体征参数值(S144)。Extract physiological sign parameter values from the other physiological sign signals (S144).
根据所述脉搏波信号获取表征脉搏波的波动节律的特征值(S145)。According to the pulse wave signal, a characteristic value representing the fluctuation rhythm of the pulse wave is obtained (S145).
分析所述特征值得到第一规则性评价信息以及分析所述生理体征参数值得到第二规则性评价信息(S146)。The characteristic value is analyzed to obtain the first regularity evaluation information and the physiological sign parameter value is analyzed to obtain the second regularity evaluation information (S146).
根据所述第一规则性评价信息和第二规则性评价信息得出最终的规则性评价信息(S147)。According to the first regularity evaluation information and the second regularity evaluation information, the final regularity evaluation information is obtained (S147).
即，在另一进一步的实施例中，图12所示的流程图中的步骤S124可具体包括图14所示的流程图中的步骤S144-S146。That is, in another further embodiment, step S124 in the flowchart shown in FIG. 12 may specifically include steps S144-S146 in the flowchart shown in FIG. 14.
即，所述“根据所述脉搏波信号以及所述其他生理体征信号得到规则性评价信息”，具体包括了：“从所述其他生理体征信号中提取生理体征参数值”、“根据所述脉搏波信号获取表征脉搏波的波动节律的特征值”、“分析所述特征值得到第一规则性评价信息以及分析所述生理体征参数值得到第二规则性评价信息”、“根据所述第一规则性评价信息和第二规则性评价信息得出最终的规则性评价信息”这些步骤。That is, the "obtain regularity evaluation information according to the pulse wave signal and the other physiological sign signals" specifically includes: "extract physiological sign parameter values from the other physiological sign signals", "according to the pulse The wave signal acquires the characteristic value that characterizes the fluctuation rhythm of the pulse wave", "Analyze the characteristic value to obtain the first regularity evaluation information and analyze the physiological sign parameter value to obtain the second regularity evaluation information", "According to the first Regular evaluation information and the second regular evaluation information to obtain the final regular evaluation information" these steps.
所述其他生理体征信号为心电信号，所述生理体征参数值至为心电参数值，所述根据所述第一规则性评价信息和第二规则性评价信息得出最终的规则性评价信息，包括：在所述第一规则性评价信息和第二规则性评价信息一致时，选择其中的任一个作为最终的规则性评价信息；以及在所述第一规则性评价信息和第二规则性评价信息不一致时，选择所述第二规则性评价信息作为最终的规则性评价信息。The other physiological sign signal is an electrocardiographic signal, the physiological sign parameter value is an electrocardiographic parameter value, and the final regularity evaluation information is obtained based on the first regularity evaluation information and the second regularity evaluation information , Including: when the first regularity evaluation information and the second regularity evaluation information are consistent, any one of them is selected as the final regularity evaluation information; and when the first regularity evaluation information and the second regularity evaluation information When the evaluation information is inconsistent, the second regularity evaluation information is selected as the final regularity evaluation information.
在一些实施例中，所述方法还包括：将所述根据用于分析得到第一规则性评价信息的特征值作为机器学习模型的输入以及将所述最终的规则性评价信息作为机器学习模型的输出并相互绑定，从而进一步完善机器学习模型。In some embodiments, the method further includes: using the feature value obtained according to the analysis to obtain the first regularity evaluation information as the input of the machine learning model, and using the final regularity evaluation information as the machine learning model Output and bind each other to further improve the machine learning model.
即，在一些实施例中，至少一个第二传感器包括了心电传感器，可直接侦测心电信号并得到规则性评价信息，而对第一传感器这些非心电的传感器侦测获取的脉搏波信号进行分析得到的规则性评价信息进行校验，并以依据心电信号得到的规则性评价信息为准作为最终的规则性评价信息，从而训练和完善机器学习模型，而提升通过非心电传感器侦测的脉搏波信号得到的规则性评价信息的准确度，根据机器学习模型可以直接得到单个特征值或多个特征值的规则性评价信息。进一步地，机器学习模型可以存储在监护设备的存储器中，也可以设置在科室级工作站设备/院级数据中心/院级急救中心管理设备等各种数据管理***中进行汇总、存储、实时更新，通过有线或无线的方式定期分享给监护设备或接受监护设备传来的特征值后，将通过机器学习模型分析出规则性评价信息，将规则性评价信息发送给监护设备进行存储或显示。可以理解地，只要可以完成将特征值输入机器学习模型 得到规则性评价信息即可，对机器学习模型的存储方式、存储设备、运行设备等不做限制。That is, in some embodiments, the at least one second sensor includes an ECG sensor, which can directly detect ECG signals and obtain regularity evaluation information, while the first sensor detects pulse waves obtained by non-ECG sensors. The regularity evaluation information obtained by signal analysis is verified, and the regularity evaluation information obtained based on the ECG signal is used as the final regularity evaluation information, so as to train and improve the machine learning model, and improve the use of non-ECG sensors According to the accuracy of the regularity evaluation information obtained from the detected pulse wave signal, the regularity evaluation information of a single feature value or multiple feature values can be directly obtained according to the machine learning model. Further, the machine learning model can be stored in the memory of the monitoring equipment, or set in various data management systems such as department-level workstation equipment/hospital-level data center/hospital-level emergency center management equipment for summary, storage, and real-time update. After periodically sharing the characteristic values sent by the monitoring device or receiving the monitoring device in a wired or wireless manner, the regularity evaluation information will be analyzed through the machine learning model, and the regularity evaluation information will be sent to the monitoring device for storage or display. Understandably, as long as the feature value can be input into the machine learning model to obtain regularity evaluation information, there are no restrictions on the storage mode, storage device, and operating device of the machine learning model.
因此，对于配备有ECG技术的监护设备来说，在最开始的若干次可同时使用心电传感器和非心电传感器进行侦测，而在后续，可以仅使用非心电传感器进行周期性生理信号的侦测，并仅基于非心电传感器得到的信号进行规则性评价信息，仍然可确保评价的准确性。Therefore, for monitoring equipment equipped with ECG technology, the ECG sensor and non-ECG sensor can be used for detection at the same time in the first several times, and in the subsequent, only the non-ECG sensor can be used for periodic physiological signals. The detection, and the regular evaluation information based only on the signal obtained by the non-ECG sensor, can still ensure the accuracy of the evaluation.
图14与图13的区别在于“根据所述脉搏波信号以及所述其他生理体征信号得到规则性评价信息”的具体实现方式的不同。The difference between FIG. 14 and FIG. 13 lies in the specific implementation manner of "obtaining regularity evaluation information according to the pulse wave signal and the other physiological sign signals".
其中，所述“分析所述特征值得到第一规则性评价信息”与图2、13所示的实施例中的“分析所述特征值得到规则性评价信息”的分析过程相同。所述“分析所述生理体征参数值得到第二规则性评价信息”可与所述“分析所述特征值得到第一规则性评价信息”相同，具体也可参考图2、13等实施例的相关描述。Wherein, the analysis process of "analyzing the characteristic value to obtain the first regularity evaluation information" is the same as the analysis process of "analyzing the characteristic value to obtain the regularity evaluation information" in the embodiment shown in FIGS. The "analyzing the physiological sign parameter value to obtain the second regularity evaluation information" may be the same as the "analyzing the characteristic value to obtain the first regularity evaluation information", and for details, please refer to the examples of FIGS. 2, 13 and other embodiments. Related description.
请参阅图15，为图13所示的评价方法中的滤波器选择过程的流程图。相比前述的滤波器的选择方式，在另一些实施例中，还预存有比值区间或差值区间与滤波器的对应关系，所述比值为前述的节律量化参数值和所述其他生理体征参数值的比值，以滤波器为三个作为例子，在一些实施例中，滤波器选择过程还可具体包括如下的步骤：Please refer to FIG. 15, which is a flowchart of the filter selection process in the evaluation method shown in FIG. Compared with the aforementioned filter selection method, in some other embodiments, the corresponding relationship between the ratio interval or the difference interval and the filter is also pre-stored, and the ratio is the aforementioned rhythm quantization parameter value and the other physiological signs parameter. For the ratio of values, three filters are used as an example. In some embodiments, the filter selection process may also specifically include the following steps:
判断节律量化参数值和其他生理体征参数值的比值或差值是否小于第一预设比值或差值(S151)。如果是，则执行步骤S152，如果否，则执行步骤S153。It is determined whether the ratio or difference between the rhythm quantization parameter value and the other physiological sign parameter value is smaller than the first preset ratio or difference (S151). If yes, execute step S152, if no, execute step S153.
选择第一滤波器进行滤波(S152)。The first filter is selected for filtering (S152).
确定所述比值或差值是否小于第二预设比值或差值，所述第二预设比值或差值大于所述第一预设比值或差值(S153)。如果是，执行步骤S154，如果否，执行步骤S155。It is determined whether the ratio or difference is smaller than a second preset ratio or difference, and the second preset ratio or difference is greater than the first preset ratio or difference (S153). If yes, execute step S154, if not, execute step S155.
选择第二滤波器进行滤波(S154)。The second filter is selected for filtering (S154).
选择第三滤波器进行滤波(S155)。The third filter is selected for filtering (S155).
即，当节律量化参数值和其他生理体征参数值的比值或差值小于第一预设比值或差值时，选择第一滤波器进行滤波，当节律量化参数值和其他生理体征参数值的比值或差值大于等于第一预设比值或差值且小于第二预设比值或差值时，则选择第二滤波器进行滤波，当节律量化参数值和其他生理体征参数值的比值大于第二预设比值或差值，则选择第三滤波器进行滤波。That is, when the ratio or difference between the rhythm quantization parameter value and the other physiological sign parameter value is less than the first preset ratio or difference, the first filter is selected for filtering. When the ratio between the rhythm quantification parameter value and the other physiological sign parameter value is Or when the difference is greater than or equal to the first preset ratio or difference and less than the second preset ratio or difference, the second filter is selected for filtering. When the ratio of the rhythm quantization parameter value to the other physiological parameter value is greater than the second If the ratio or difference is preset, the third filter is selected for filtering.
其中，所述滤波参数可为与滤波器同时根据比值区间或差值区间确定，即，根据比值区间或差值区间确定出滤波器后，还可根据比值区间或差值区间确定出对应的滤波参数，即不同的比值区间或差值区间还可对应不同的滤波参数。Wherein, the filter parameter can be determined according to the ratio interval or the difference interval at the same time as the filter, that is, after the filter is determined according to the ratio interval or the difference interval, the corresponding filter can also be determined according to the ratio interval or the difference interval. Parameters, that is, different ratio intervals or difference intervals can also correspond to different filtering parameters.
请参阅图16，为本申请一实施例中的监护设备200的模块架构图。如图14所示，所述监护设备200包括传感器210以及处理器220。Please refer to FIG. 16, which is a block diagram of a monitoring device 200 in an embodiment of the application. As shown in FIG. 14, the monitoring device 200 includes a sensor 210 and a processor 220.
所述传感器210用于获取测量对象的周期性生理信号。The sensor 210 is used to obtain periodic physiological signals of the measuring object.
所述处理器220与所述传感器210连接，用于从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号，根据所述脉搏波信号分析得到规则性评价信息。The processor 220 is connected to the sensor 210, and is configured to extract a pulse wave signal related to the measurement object from the periodic physiological signal, and obtain regularity evaluation information according to the pulse wave signal analysis.
在一些实施例中，所述处理器220对所述周期性生理信号进行滤波处理、放大处理、A/D转换(数模转换)处理而提取得到脉搏波信号。In some embodiments, the processor 220 performs filtering processing, amplifying processing, and A/D conversion (digital-to-analog conversion) processing on the periodic physiological signal to extract the pulse wave signal.
在一些实施例中，所述处理器220根据所述脉搏波信号分析得到规则性评价信息，包括：所述处理器220根据所述脉搏波信号获取表征脉搏波的波动节律的特征值，以及分析所述特征值得到规则性评价信息。In some embodiments, the processor 220 obtains regularity evaluation information according to the pulse wave signal analysis, including: the processor 220 obtains the characteristic value of the fluctuation rhythm of the pulse wave according to the pulse wave signal, and analyzes The characteristic value obtains regularity evaluation information.
在一些实施例中，所述处理器220具体用于采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述脉搏波信号进行特征提取而得到相应的至少一个特征值。In some embodiments, the processor 220 is specifically configured to use at least one analysis technology of time domain technology, frequency domain technology, and nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain corresponding at least one Eigenvalues.
即，在一些实施例中，所述处理器220可采用一种分析技术或多种分析技术结合对所述脉搏波信号进行特征提取而得到相应的至少一个/类特征值。That is, in some embodiments, the processor 220 may use an analysis technique or a combination of multiple analysis techniques to perform feature extraction on the pulse wave signal to obtain corresponding at least one/class of feature values.
例如，所述处理器220可采用时域技术对脉搏波信号进行特征提取而得到至少一个时域特征值。For example, the processor 220 may use time domain technology to perform feature extraction on the pulse wave signal to obtain at least one time domain feature value.
即，在一些实施例中，所述处理器220可仅采用时域技术对脉搏波信号进行特征提取而得到至少一个时域特征值。That is, in some embodiments, the processor 220 may only use time domain technology to perform feature extraction on the pulse wave signal to obtain at least one time domain feature value.
其中，所述至少一个时域特征值包括脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度中的至少一种。Wherein, the at least one time domain characteristic value includes at least one of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, and pulse width.
又例如，所述处理器220采用频域技术将脉搏波信号转换为频域信号，然后对频域信号进行特征提取而得到至少一个频域特征值。For another example, the processor 220 uses frequency domain technology to convert the pulse wave signal into a frequency domain signal, and then performs feature extraction on the frequency domain signal to obtain at least one frequency domain feature value.
即，在一些实施例中，可仅采用频域技术对脉搏波信号进行特征提取而得到至少一个频域特征值。That is, in some embodiments, only frequency domain technology may be used to perform feature extraction on the pulse wave signal to obtain at least one frequency domain feature value.
其中，所述频域特征值包括但不限于包括但不限于频谱特征、功率谱特征等特征值。Wherein, the frequency domain characteristic value includes, but is not limited to, including but not limited to characteristic values such as spectrum characteristics and power spectrum characteristics.
又例如，所述处理器220可采用非线性动力学技术对脉搏波信号进行特征提取而得到至少一个非线性动力学特征值。For another example, the processor 220 may use nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least one nonlinear dynamics feature value.
即，在一些实施例中，可仅采用非线性动力学技术对脉搏波信号进行特征提取而得到至少一个非线性动力学特征值。That is, in some embodiments, only the nonlinear dynamics technology may be used to perform feature extraction on the pulse wave signal to obtain at least one nonlinear dynamics feature value.
其中，所述非线性动力学特征值包括熵值或复杂度。Wherein, the nonlinear dynamics characteristic value includes entropy or complexity.
所述熵值包括但不限于信息熵、谱熵、近似熵、样本熵、模糊熵等熵值特征。The entropy includes, but is not limited to, information entropy, spectral entropy, approximate entropy, sample entropy, fuzzy entropy and other entropy features.
在一些实施例中，所述处理器220采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述脉搏波信号进行特征提取而获取至少一个特征值，也可具体包括：采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述脉搏波信号进行特征提取而获取至少两类特征值，根据两类特征值以及每类特征值的权重值得出最终的特征值。In some embodiments, the processor 220 uses at least one analysis technology of time domain technology, frequency domain technology, and nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least one feature value, or Specifically, it includes: using at least one analysis technology of time domain technology, frequency domain technology, and nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least two types of feature values, according to the two types of feature values and each type of feature The weight of the value yields the final characteristic value.
例如，所述处理器220采用时域技术对脉搏波信号进行特征提取得出时域特征值以及采用频域技术对同一段脉搏波信号进行特征提取得出频域特征值后，所述处理器220可根据加权计算公式ax+by得出最终特征值。其中x可为时域特征值，y可为频域特征值，a为时域特征值的权重值，b为频域特征值的权重值，从而，通过多种分析技术对同一段脉搏波信号进行分析，综合多种技术得出的多类特征值以及每类特征值的权重值而可得到该段波形最终的特征值，提高了特征值获取的准确性。For example, after the processor 220 uses time domain technology to perform feature extraction on pulse wave signals to obtain time domain feature values, and uses frequency domain technology to perform feature extraction on the same segment of pulse wave signals to obtain frequency domain feature values, the processor 220 220 can obtain the final characteristic value according to the weighted calculation formula ax+by. Where x can be the time domain eigenvalue, y can be the frequency domain eigenvalue, a is the weight value of the time domain eigenvalue, b is the weight value of the frequency domain eigenvalue, thus, the same pulse wave signal can be analyzed by multiple analysis techniques Analyze, integrate the multiple types of feature values obtained by multiple technologies and the weight value of each type of feature value to obtain the final feature value of the waveform, which improves the accuracy of feature value acquisition.
如图16所示，所述监护设备还包括存储器230，所述时域特征值的权重值和频域特征值的权重值可为预先设定并存储于所述存储器230中。As shown in FIG. 16, the monitoring device further includes a memory 230, and the weight value of the time domain characteristic value and the weight value of the frequency domain characteristic value may be preset and stored in the memory 230.
其中，所述不同的多个特征值包括通过不同的分析技术分析出来的多类特征值(例如时域特征值、频域特征值等)和/或通过相同的分析技术分析出来的多类不同的特征值(例如脉搏间隔、斜率等)。Wherein, the multiple different feature values include multiple types of feature values (such as time domain feature values, frequency domain feature values, etc.) analyzed through different analysis techniques and/or multiple types of different features analyzed through the same analysis technology. Characteristic values (such as pulse interval, slope, etc.).
在一些实施例中，所述处理器220分析所述特征值得到规则性评价信息，可包括：所述处理器220所述至少一个特征值与对应的至少一个特征值阈值进行比较，并根据比较结果得到规则性评价信息。In some embodiments, analyzing the characteristic value by the processor 220 to obtain regularity evaluation information may include: comparing the at least one characteristic value of the processor 220 with the corresponding at least one characteristic value threshold, and comparing As a result, regular evaluation information is obtained.
即，在一些实施例中，可直接根据所述脉搏波信号获取的表征脉搏波的波动节律的特征值来获取用于表示规则或不规则的规则性评价信息。That is, in some embodiments, the regularity evaluation information used to indicate the rule or irregularity can be obtained directly according to the characteristic value of the pulse wave signal that represents the fluctuation rhythm of the pulse wave.
其中，如前所述，所述特征值可包括脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度中的至少一种，也可包括频谱特征、功率谱特征值等，也可包括熵值、复杂度等。例如，所述至少一个特征值可为脉搏间隔这一个特征值，预设阈值可为预设脉搏间隔范围，所述处理器220所述至少一个特征值与对应的至少一个特征值阈值进行比较，并根据比较结果得到规则性评价信息可进一步包括：所述处理器220将脉搏间隔与预设脉搏间隔范围进行比较，当确定脉搏间隔位于预设脉搏间隔范围之外时，得出为“不规则”的 规则性评价信息，当确定脉搏间隔位于预设脉搏间隔范围之内时，得出为“规则”的规则性评价信息。Wherein, as mentioned above, the characteristic value may include at least one of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, pulse width, and may also include spectrum characteristics, power spectrum characteristic values, etc. Can include entropy, complexity, etc. For example, the at least one characteristic value may be a characteristic value of pulse interval, the preset threshold may be a preset pulse interval range, the processor 220 compares the at least one characteristic value with the corresponding at least one characteristic value threshold, And obtaining regularity evaluation information according to the comparison result may further include: the processor 220 compares the pulse interval with a preset pulse interval range, and when the pulse interval is determined to be outside the preset pulse interval range, it is obtained as "irregular "Regularity evaluation information", when it is determined that the pulse interval is within the preset pulse interval range, the "rule" regularity evaluation information is obtained.
在一些实施例中，所述处理器220根据所述脉搏波信号获取表征脉搏波的波动节律的特征值，还可包括：所述处理器220对一时间段或若干个周期的脉搏波信号进行特征提取而获取至少两个特征值；通过统计学分析方法和/或机器学习方法对所述至少两个特征值进行分析，而得到所述规则性评价信息。In some embodiments, the processor 220 obtains the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal, and may further include: the processor 220 performs processing on the pulse wave signal for a period of time or several cycles. At least two feature values are obtained by feature extraction; and the at least two feature values are analyzed by a statistical analysis method and/or a machine learning method to obtain the regularity evaluation information.
其中，所述处理器220对一时间段或若干个周期的脉搏波信号进行特征提取而获取至少两个特征值也可为：所述处理器220采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对一时间段或若干个周期的脉搏波信号进行特征提取而获取至少两个特征值。Wherein, the processor 220 performs feature extraction on the pulse wave signal of a period of time or several cycles to obtain at least two feature values. The processor 220 may also adopt time domain technology, frequency domain technology and nonlinear dynamics. At least one analysis technology in the science technology performs feature extraction on the pulse wave signal of a period of time or several cycles to obtain at least two feature values.
其中，所述处理器220通过统计学分析方法和/或机器学习方法对所述至少两个特征值进行分析，而得到所述规则性评价信息可包括：所述处理器220通过统计学分析方法对所述至少两个特征值进行分析，得到统计分析数据，以及根据所述统计分析数据得到所述规则性评价信息；和/或通过机器学习方法，将所述至少两个特征值作为输入，而得出所述规则性评价信息这一输出。Wherein, the processor 220 analyzes the at least two feature values by a statistical analysis method and/or a machine learning method to obtain the regularity evaluation information may include: the processor 220 uses a statistical analysis method Analyzing the at least two characteristic values to obtain statistical analysis data, and obtaining the regularity evaluation information according to the statistical analysis data; and/or using the at least two characteristic values as input through a machine learning method, The output of the regularity evaluation information is obtained.
其中，所述统计分析数据可为基于前述的特征值得出的最值、比值、加和、积分、差值、均值、标准差、最大间隔期、最小间隔期、脉搏变异度、变异次数、最大脉率值、最小脉率值中的至少一种数据，所述根据所述统计分析数据得到所述规则性评价信息，可包括，将所述最值、比值、加和、积分、差值、均值、标准差、最大间隔期、最小间隔期、脉搏变异度、变异次数、最大脉率值、最小脉率值等统计分析数据与预设的最值、比值、加和、积分、差值、均值、标准差、最大间隔期、最小间隔期、脉搏变异度、变异次数、最大脉率值、最小脉率值等预设统计数据进行比较，而得出为用于表示规则或不规则的所述规则性评价信息。Wherein, the statistical analysis data may be the maximum value, ratio, sum, integral, difference, mean, standard deviation, maximum interval, minimum interval, pulse variability, number of mutations, and maximum based on the aforementioned characteristic values. At least one of the pulse rate value and the minimum pulse rate value, said obtaining the regularity evaluation information according to the statistical analysis data may include adding the maximum value, ratio, sum, integral, difference, Statistical analysis data such as mean, standard deviation, maximum interval, minimum interval, pulse variability, number of variations, maximum pulse rate value, minimum pulse rate value and the preset maximum value, ratio, sum, integral, difference, etc. The mean, standard deviation, maximum interval, minimum interval, pulse variability, number of variations, maximum pulse rate, minimum pulse rate and other preset statistical data are compared, and the results are used to express regular or irregular statistics. The regular evaluation information.
从而，在另一些实施例中，所述处理器220可对根据所述脉搏波信号获取的表征脉搏波的波动节律的特征值进行统计分析后得到统计分析数据后，再来获取用于表示规则或不规则的规则性评价信息。Therefore, in other embodiments, the processor 220 may perform statistical analysis on the characteristic values representing the fluctuation rhythm of the pulse wave obtained according to the pulse wave signal, and obtain statistical analysis data, and then obtain the data used to express the rule or Irregular regularity evaluation information.
所述机器学习方法可为通过模型训练建立机器学习模型，例如，神经网络模型，从而，所述处理器220可将所述至少两个特征值作为机器学习模型的输入，而自动得出为用于表示规则或不规则的所述规则性评价信息这一输出。The machine learning method may be to establish a machine learning model, for example, a neural network model, through model training, so that the processor 220 may use the at least two feature values as input to the machine learning model and automatically obtain them for use. For the output of the regularity evaluation information indicating regularity or irregularity.
在一些实施例中，所述对某一时间段或若干个周期的脉搏波信号进行特征提取而获取至少两个特征值为对脉搏波信号的不同时间段进行特征提取而获取的不同特征值，根据采用的分析技术相同或不同，而可为相同类型的特征值或不同类型的特征值。例如，对某一时间段内的多个不同时间段分别通过时域技术进行特征提取而得到多个脉搏间隔这一类型的多个特征值。或者，也可对某一时间段内的多个不同时间段，例如三个时间段分别通过时域技术、频域技术、以及非线性动力学技术进行特征提取，而分别得到相应的时域特征值、频域特征值以及非线性动力学特征值。In some embodiments, the feature extraction is performed on the pulse wave signal of a certain period of time or several cycles to obtain at least two feature values that are different feature values obtained by feature extraction on different periods of the pulse wave signal, According to the same or different analysis techniques, they can be the same type of feature value or different types of feature value. For example, feature extraction is performed on multiple different time periods within a certain time period through time domain technology to obtain multiple characteristic values of the type of multiple pulse intervals. Alternatively, it is also possible to perform feature extraction on multiple different time periods within a certain time period, for example, three time periods using time domain technology, frequency domain technology, and nonlinear dynamics technology to obtain corresponding time domain features. Value, frequency domain characteristic value and nonlinear dynamic characteristic value.
在一些实施例中，所述至少两个特征值为某一时间段或若干个周期的不同时间段的脉搏波信号进行特征提取得出的特征值，且每个特征值的提取方式也可为采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述脉搏波信号的相同波形段进行特征提取而获取至少两类特征值，根据两类特征值以及每类特征值的权重值得出该波形段的最终的特征值。In some embodiments, the at least two characteristic values are characteristic values obtained by characteristic extraction of pulse wave signals in a certain period of time or in different periods of several cycles, and the extraction method of each characteristic value may also be At least one analysis technology of time domain technology, frequency domain technology, and nonlinear dynamics technology is used to extract features of the same waveform segment of the pulse wave signal to obtain at least two types of feature values. According to the two types of feature values and each type The weight of the eigenvalue is the final eigenvalue of the waveform segment.
更具体的计算方式及例子可参考前述的描述。For more specific calculation methods and examples, please refer to the foregoing description.
在一些实施例中，所述处理器220根据所述脉搏波信号获取表征脉搏波的波动节律的特征值之后，还用于根据所述特征值对脉搏波信号的质量进行评估而得到质量因子；以及 根据所述质量因子确定是否采用或舍弃当前得到的脉搏波信号。In some embodiments, after the processor 220 obtains the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal, it is further configured to evaluate the quality of the pulse wave signal according to the characteristic value to obtain the quality factor; And determining whether to adopt or discard the pulse wave signal currently obtained according to the quality factor.
在一些实施例中，得到所述质量因子的方式与前述的“根据所述脉搏波信号获取表征脉搏波的波动节律的特征值”的方式可相同，仅仅是得出的是作为质量因子的特征值。In some embodiments, the method of obtaining the quality factor may be the same as the method of “obtaining the characteristic value of the fluctuation rhythm of the pulse wave according to the pulse wave signal” described above, except that the characteristic obtained is the quality factor. value.
例如，所述质量因子可为通过时域技术得出的脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度中的至少一种时域值，也可为通过频域技术得出的包括频谱特征、功率谱特征值等至少一个频域值，也可为通过非线性动力学技术得出的熵值、复杂度等至少一个非线性动力学值。For example, the quality factor may be at least one time domain value of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, and pulse width obtained through time domain technology, or may be obtained through frequency domain technology. The output includes at least one frequency domain value such as a frequency spectrum feature, a power spectrum feature value, etc., and may also be at least one nonlinear dynamics value such as entropy value and complexity obtained by nonlinear dynamics technology.
又例如，所述质量因子可为最值、比值、加和、积分、差值、均值、标准差、最大间隔期、最小间隔期、脉搏变异度、变异次数、最大脉率值、最小脉率值中的至少一种。For another example, the quality factor may be the maximum value, ratio, sum, integral, difference, mean, standard deviation, maximum interval, minimum interval, pulse variability, number of variations, maximum pulse rate, minimum pulse rate At least one of the values.
在一些实施例中，所述处理器220当根据所述质量因子确定当前得到的脉搏波信号可被采用时，根据所述获取出的特征值进行进一步分析，得到规则性评价信息。In some embodiments, when the processor 220 determines that the currently obtained pulse wave signal can be used according to the quality factor, further analysis is performed according to the obtained characteristic value to obtain regularity evaluation information.
即，在一些实施例中，当确定当前得到的脉搏波信号可被采用时，则确定所述特征值是可信的，而直接根据所述获取出的特征值进行进一步分析，得到规则性评价信息。That is, in some embodiments, when it is determined that the currently obtained pulse wave signal can be used, it is determined that the characteristic value is credible, and further analysis is performed directly based on the acquired characteristic value to obtain a regularity evaluation information.
其中，所述所述处理器220根据所述获取出的特征值进行进一步分析，得到规则性评价信息与前述的“分析所述特征值得到规则性评价信息”的处理过程相同。Wherein, the processor 220 performs further analysis according to the acquired characteristic value to obtain regularity evaluation information, which is the same as the aforementioned processing procedure of "analyzing the characteristic value to obtain regularity evaluation information".
进一步的，所述处理器220还用于根据所述质量因子确定当前得到的脉搏波信号可被采用时，根据所述质量因子以及所述获取出的特征值进行进一步分析，得到规则性评价信息。Further, the processor 220 is further configured to perform further analysis according to the quality factor and the acquired characteristic value when it is determined that the currently obtained pulse wave signal can be used according to the quality factor to obtain regularity evaluation information .
其中，所述处理器220根据所述质量因子以及所述获取出的特征值进行进一步分析，得到规则性评价信息，可包括：所述处理器220根据质量因子确定所述特征值的权重值以及所述质量因子的权重值；根据所述特征值的权重值以及所述质量因子的权重值对所述特征值和所述质量因子进行加权计算得到加权特征值；根据加权特征值进行分析，得到所述规则性评价信息。Wherein, the processor 220 performs further analysis according to the quality factor and the acquired characteristic value to obtain regularity evaluation information, which may include: the processor 220 determines the weight value of the characteristic value according to the quality factor and The weight value of the quality factor; weighted calculation of the characteristic value and the quality factor according to the weight value of the characteristic value and the weight value of the quality factor to obtain a weighted characteristic value; analysis according to the weighted characteristic value to obtain The regularity evaluation information.
即，在一些实施例中，所述处理器220可分析脉搏波信号的质量而得到指示所述脉搏波信号质量的质量因子，由于所述质量因子本身为通过与特征值相同的方式得出，从而可将质量因子与根据脉搏波信号获取的特征值进行加权得到加权调整值后，再根据加权特征值进行分析，得到所述规则性评价信息，可有效提高规则性评价信息的准确性。That is, in some embodiments, the processor 220 may analyze the quality of the pulse wave signal to obtain a quality factor indicating the quality of the pulse wave signal. Since the quality factor itself is obtained in the same manner as the characteristic value, Therefore, the quality factor and the characteristic value obtained according to the pulse wave signal can be weighted to obtain a weighted adjustment value, and then analyzed according to the weighted characteristic value to obtain the regularity evaluation information, which can effectively improve the accuracy of the regularity evaluation information.
其中，所述根据质量因子确定所述特征值的权重值以及所述质量因子的权重值，可具体包括：将得到的质量因子与对应的质量因子阈值进行比较，根据比较结果确定该质量因子的加权值j1；以及确定特征值的权重值为(1-j1)。Wherein, the determining the weight value of the characteristic value and the weight value of the quality factor according to the quality factor may specifically include: comparing the obtained quality factor with a corresponding quality factor threshold, and determining the quality factor of the quality factor according to the comparison result Weight value j1; and determine the weight value of the feature value (1-j1).
其中，所述质量因子可包括至少一个质量因子，且可为通过不同的分析技术得到的不同类型的质量因子或通过相同的分析技术得到的不同类型的质量因子。Wherein, the quality factor may include at least one quality factor, and may be different types of quality factors obtained by different analysis techniques or different types of quality factors obtained by the same analysis technique.
以时域技术得到的质量因子为例，通过时域技术分析，得到以下值：脉搏波幅值标准差、峰峰间隔平均值、峰峰间隔最大值，则分别将脉搏波幅值标准差、峰峰间隔平均值、峰峰间隔最大最小值与标准差阈值、间隔平均值阈值、间隔最大值阈值进行比较，并根据比较结果确定质量因子的加权值j1。其中，当信号质量越好时，对应的质量因子的加权值越小；反之，当信号质量越差时，对应的质量因子的加权值越大。Taking the quality factor obtained by time domain technology as an example, through time domain analysis, the following values are obtained: pulse wave amplitude standard deviation, peak-peak interval average, peak-peak interval maximum, then the pulse wave amplitude standard deviation, The peak-to-peak interval average value, the peak-to-peak interval maximum and minimum values are compared with the standard deviation threshold, the interval average threshold, and the interval maximum threshold, and the weighted value j1 of the quality factor is determined according to the comparison result. Among them, when the signal quality is better, the weight value of the corresponding quality factor is smaller; conversely, when the signal quality is worse, the weight value of the corresponding quality factor is larger.
其中，所述阈值可为单个阈值，也可包括两个阈值，例如第一阈值和第二阈值构成的阈值范围。具体地，在一些实施例中，质量因子的加权值j1的取值范围为0到1，相应地，特征值的权重值1-j1的取值范围也为0到1。设定质量信号越好时，对应的质量因子的加权值越小的意义在于：当质量信号越好时，应该弱化质量因子，而此时的根据脉搏波信号获取的特征值也更为准确，应该强化特征值，故此情形下，质量因子的加权值越小，而特征值的权重值越大；反之亦然。Wherein, the threshold may be a single threshold, or may include two thresholds, for example, a threshold range formed by the first threshold and the second threshold. Specifically, in some embodiments, the weight value j1 of the quality factor ranges from 0 to 1, and correspondingly, the weight value 1-j1 of the feature value also ranges from 0 to 1. The better the quality signal is set, the smaller the weighting value of the corresponding quality factor is: when the quality signal is better, the quality factor should be weakened, and the characteristic value obtained from the pulse wave signal at this time is also more accurate. The eigenvalues should be strengthened, so in this case, the smaller the weight value of the quality factor, the greater the weight value of the eigenvalue; and vice versa.
例如，当满足，幅值标准差<a，并且，峰峰间隔平均值/峰峰间隔最大值<b，则判断信 号质量为好，对应的质量因子的加权值j1较小，例如可为j1＝0.2。当a<幅值标准差<c，并且，b<峰峰间隔最大值(最小值)/峰峰间隔平均值<d，判断信号质量为中，对应的质量因子的加权值例如可为j1＝0.5；当幅值标准差>c，并且，峰峰间隔最大值(最小值)/峰峰间隔平均值>d，判断信号质量为低，对应的质量因子的加权值j1较大，例如可为j1＝0.8。For example, when it is satisfied that the amplitude standard deviation is <a, and the peak-to-peak interval average value/peak-to-peak interval maximum value<b, the signal quality is judged to be good, and the corresponding quality factor weight j1 is small, for example, j1 = 0.2. When a<standard deviation of amplitude<c, and b<maximum peak-peak interval (minimum value)/average peak-peak interval<d, the signal quality is judged to be medium, and the weighted value of the corresponding quality factor can be, for example, j1= 0.5; when the amplitude standard deviation>c, and the peak-to-peak interval maximum (minimum)/peak-to-peak interval average>d, it is judged that the signal quality is low, and the corresponding quality factor has a larger weight value j1, for example j1=0.8.
例如，若信号质量越好，则说明得到信号质量的质量因子应该尽量弱化，因此质量因子的加权值可以取值为数值较小的值，例如0.2，而特征值应该强化，因此特征值的权重值可以取值为数值较大的值，例如为1-0.2＝0.8。For example, if the signal quality is better, it means that the quality factor of the signal quality should be as weak as possible, so the weighting value of the quality factor can be a smaller value, such as 0.2, and the eigenvalue should be strengthened, so the weight of the eigenvalue The value can be a larger value, for example, 1-0.2=0.8.
以频域为例来说：可得到一段时间信号的频谱，统计出频谱峰幅度>a的频谱峰个数，第一种情况：当频谱峰幅度>a的频谱峰个数<b时，则判断信号质量为好，加权值j1＝0.2；当b<频谱峰幅度>a的频谱峰个数<c时,判断信号质量为中，加权值＝0.5；当频谱峰幅度>a的频谱峰个数>c时，判断信号质量为低，加权值＝0.8。Take the frequency domain as an example: the frequency spectrum of a signal can be obtained for a period of time, and the number of spectrum peaks whose spectrum peak amplitude>a is counted. The first case: when the spectrum peak amplitude>the number of spectrum peaks of a<b, then Judge the signal quality as good, and the weighted value j1=0.2; when b<spectral peak amplitude> the number of spectral peaks of a<c, judge the signal quality as medium, and the weighted value=0.5; when the spectral peak amplitude>a has spectral peaks When the number>c, the signal quality is judged to be low, and the weighting value=0.8.
在另一些实施例中，所述根据所述质量因子以及所述获取出的特征值进行进一步分析，得到规则性评价信息，还可包括：In other embodiments, the further analysis based on the quality factor and the acquired characteristic value to obtain regularity evaluation information may further include:
将所述质量因子映射为所述获取出的特征值的质量因子系数；Mapping the quality factor to the quality factor coefficient of the acquired characteristic value;
将所述特征值和质量因子系数计算得到校正特征值；Calculating the characteristic value and the quality factor coefficient to obtain a corrected characteristic value;
根据所述校正特征值进行分析，得到所述规则性评价信息。Perform analysis according to the corrected characteristic value to obtain the regularity evaluation information.
即，在另一些实施例中，是通过质量因子得到质量因子系数后，将特征值与质量因子系数计算得到校正特征值后，再根据所述校正特征值得到所述规则性评价信息。That is, in other embodiments, after the quality factor coefficient is obtained by the quality factor, the characteristic value and the quality factor coefficient are calculated to obtain the corrected characteristic value, and then the regularity evaluation information is obtained according to the corrected characteristic value.
即，在另一些实施例中，是通过质量因子得到质量因子系数后，将特征值与质量因子系数计算得到校正特征值后，再根据所述校正特征值得到所述规则性评价信息。在一实施例中，计算为相乘。可以理解地，计算包括相乘、相除、相减、相加中的至少一种，例如，当计算包括相除时，特征值除以质量因子系数。当信号质量越高，质量因子系数越大，最大等于1；当信号质量越差，质量因子系数越小。That is, in other embodiments, after the quality factor coefficient is obtained by the quality factor, the characteristic value and the quality factor coefficient are calculated to obtain the corrected characteristic value, and then the regularity evaluation information is obtained according to the corrected characteristic value. In one embodiment, the calculation is multiplication. Understandably, the calculation includes at least one of multiplication, division, subtraction, and addition. For example, when the calculation includes division, the characteristic value is divided by the quality factor coefficient. When the signal quality is higher, the quality factor coefficient is larger, and the maximum is equal to 1. When the signal quality is worse, the quality factor coefficient is smaller.
其中，得到所述质量因子的方式与前相同，在此不再赘述。Wherein, the method for obtaining the quality factor is the same as before, and will not be repeated here.
进一步的，所述将所述质量因子映射为所述获取出的特征值的质量因子系数，包括：将所述质量因子与对应的质量因子阈值进行比较，根据比较结果将所述质量因子映射为所述获取出的特征值的质量因子系数。Further, the mapping the quality factor to the quality factor coefficient of the acquired feature value includes: comparing the quality factor with a corresponding quality factor threshold, and mapping the quality factor to The quality factor coefficient of the acquired characteristic value.
其中，所述阈值可为单个阈值，也可包括两个阈值，例如第一阈值和第二阈值构成的阈值范围。Wherein, the threshold may be a single threshold, or may include two thresholds, for example, a threshold range formed by the first threshold and the second threshold.
例如，当满足，幅值标准差<a，并且，峰峰间隔平均值/峰峰间隔最大值<b，则判断信号质量为好，对应的质量因子系数可为1。当a<幅值标准差<c，并且，b<峰峰间隔最大值(最小值)/峰峰间隔平均值<d，判断信号质量为中，质量因子系数为0.8；当幅值标准差>c，并且，峰峰间隔最大值(最小值)/峰峰间隔平均值>d，判断信号质量为低，质量因子系数为0.5。For example, when it is satisfied that the amplitude standard deviation is <a, and the peak-to-peak interval average value/peak-to-peak interval maximum value<b, the signal quality is judged to be good, and the corresponding quality factor coefficient can be 1. When a<standard deviation of amplitude<c, and b<maximum peak-peak interval (minimum)/average peak-peak interval<d, the signal quality is judged to be medium, and the quality factor coefficient is 0.8; when the standard deviation of amplitude> c, and the maximum value (minimum value) of the peak-to-peak interval/average value of the peak-to-peak interval>d, the signal quality is judged to be low, and the quality factor coefficient is 0.5.
以频域为例来说：可得到一段时间信号的频谱，统计出频谱峰幅度>a的频谱峰个数，第一种情况：当频谱峰幅度>a的频谱峰个数<b时，则判断信号质量为好，质量因子系数为1；当b<频谱峰幅度>a的频谱峰个数<c时,判断信号质量为中，质量因子系数为0.8；当频谱峰幅度>a的频谱峰个数>c时，判断信号质量为低，质量因子系数为0.2。Take the frequency domain as an example: the frequency spectrum of a signal can be obtained for a period of time, and the number of spectrum peaks whose spectrum peak amplitude>a is counted. The first case: when the spectrum peak amplitude>the number of spectrum peaks of a<b, then When the signal quality is judged to be good, the quality factor coefficient is 1; when b<spectral peak amplitude> the number of spectral peaks of a<c, the signal quality is judged to be medium, and the quality factor coefficient is 0.8; when the spectral peak amplitude>a is the spectral peak When the number>c, the signal quality is judged to be low, and the quality factor coefficient is 0.2.
例如，若信号质量为低，则说明当前受到的干扰大，此时将特征值乘以的质量因子系数更小，使得特征值对应的干扰信号进行较大的削减，从而有效避免干扰。For example, if the signal quality is low, it means that the current interference is large. At this time, the quality factor coefficient multiplied by the eigenvalue is smaller, so that the interference signal corresponding to the eigenvalue is greatly reduced, thereby effectively avoiding interference.
在一些实施例中，所述处理器220还用于当判断信号质量为低时，获取一噪音模板信号，以及基于所述噪音模板信号对所述脉搏波信号进行除噪处理而得到除噪后的脉搏波信号。In some embodiments, the processor 220 is further configured to obtain a noise template signal when the signal quality is determined to be low, and perform denoising processing on the pulse wave signal based on the noise template signal to obtain the denoising Pulse wave signal.
其中，所述处理器220根据所述脉搏波信号获取表征脉搏波的波动节律的特征值可包 括：所述处理器220根据除噪后的脉搏波信号获取表征脉搏波的波动节律的特征值。Wherein, the processor 220 acquiring the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal may include: the processor 220 acquiring the characteristic value representing the fluctuation rhythm of the pulse wave according to the denoised pulse wave signal.
其中，所述处理器220可在脉搏波信号中剔除对应所述噪音模板信号的成分而得到除噪后的脉搏波信号。Wherein, the processor 220 may remove the component corresponding to the noise template signal from the pulse wave signal to obtain the pulse wave signal after noise removal.
在一些实施例中，所述处理器220根据所述脉搏波信号获取表征脉搏波的波动节律的特征值之后，还用于将提取/获取出的特征值转换为中间特征值；所述处理器220并用于基于所述中间特征值进行分析得到规则性评价信息。In some embodiments, after the processor 220 obtains the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal, it is further configured to convert the extracted/acquired characteristic value into an intermediate characteristic value; the processor 220 and used to analyze based on the intermediate characteristic value to obtain regularity evaluation information.
在一些实施例中，所述中间特征值包括脉率值，所述处理器220将提取出的特征值转换为中间特征值，包括：所述处理器220将提取出的特征值转换为脉率值。所述处理器220还用于基于所述脉率值进行分析得到规则性评价信息。In some embodiments, the intermediate feature value includes a pulse rate value, and the processor 220 converting the extracted feature value into an intermediate feature value includes: the processor 220 converts the extracted feature value into a pulse rate value. The processor 220 is further configured to perform analysis based on the pulse rate value to obtain regularity evaluation information.
在一些实施例中，所述处理器220基于所述脉率值进行分析得到规则性评价信息，包括：所述处理器220获取脉率间差值，当满足连续若干个相邻脉率间的差值均超过阈值，或在N个相邻脉率间差值中至少满足n个超过阈值，或存在一个脉率超过或小于脉率平均值的多少(阈值)，或脉率的标准差除以脉率的平均值超过阈值时，判断疑似不规则。In some embodiments, the processor 220 performs analysis based on the pulse rate value to obtain the regularity evaluation information, including: the processor 220 obtains the difference between pulse rates, and when the difference between consecutive pulse rates is satisfied The difference exceeds the threshold, or at least n of the N adjacent pulse rate differences meet the threshold, or there is a pulse rate that exceeds or is less than the average pulse rate (threshold), or the standard deviation of the pulse rate divided by When the average pulse rate exceeds the threshold, it is judged that it is suspected to be irregular.
在一些实施例中，所述中间特征值还可包括脉搏音特征值，所述处理器220将提取出的特征值转换为中间特征值，包括：所述处理器220将提取出的特征值转换为脉搏音特征值。所述处理器220并用于基于所述脉搏音特征值进行分析得到规则性评价信息。In some embodiments, the intermediate feature value may further include a pulse sound feature value. The processor 220 converting the extracted feature value into an intermediate feature value includes: the processor 220 converting the extracted feature value It is the characteristic value of pulse sound. The processor 220 is also configured to perform analysis based on the pulse sound characteristic value to obtain regularity evaluation information.
在一些实施例中，所述处理器220基于所述脉搏音特征值进行分析得到规则性评价信息，包括：所述处理器220获取脉搏音间隔，当满足连续若干个相邻间隔的差值均超过阈值，或在N个相邻间隔差值中至少满足n个差值超过阈值，或存在一个间隔超过或小于间隔平均值的多少(阈值)，或间隔的标准差除以间隔的平均值超过阈值时，判断疑似不规则。In some embodiments, the processor 220 performs analysis based on the pulse sound characteristic value to obtain regularity evaluation information, including: the processor 220 obtains the pulse sound interval, and when the difference value of several consecutive adjacent intervals is satisfied Exceeds the threshold, or at least n differences in N adjacent interval differences exceed the threshold, or there is an interval that exceeds or is less than the average of the interval (threshold), or the standard deviation of the interval divided by the average of the interval exceeds At the threshold value, it is judged that it is suspected to be irregular.
进一步的，所述处理器220将提取出的特征值转换为脉搏音特征值，包括：所述处理器220根据提取出的特征值确定脉搏的波峰或波谷的到达时刻，在波峰或波谷的到达时刻进行波峰或波谷标记；根据波峰或波谷标记生成脉搏音特征值。Further, the processor 220 converting the extracted characteristic value into a pulse sound characteristic value includes: the processor 220 determines the arrival time of the peak or trough of the pulse according to the extracted characteristic value. Mark the peaks or troughs at all times; generate pulse sound characteristic values according to the markers of the peaks or troughs.
在一些实施例中，所述处理器220基于所述脉搏音特征值进行分析得到规则性评价信息，可进一步包括：所述处理器220对某一时间段内或若干个周期的脉搏波信号的波峰或波谷进行标记而得到至少两个波峰或波谷标记，得到由至少两个波峰标记或至少两个波谷标记生成的至少两个脉搏音特征值；通过统计学分析和/或机器学习方式对所述至少两个脉搏音特征值进行分析，而得到所述规则性评价信息。In some embodiments, the processor 220 analyzes based on the pulse sound characteristic value to obtain regularity evaluation information, which may further include: the processor 220 evaluates the pulse wave signal within a certain period of time or several cycles The peaks or troughs are marked to obtain at least two peaks or trough markers, and at least two pulse sound characteristic values generated from at least two peak markers or at least two trough markers are obtained; the statistical analysis and/or machine learning methods The at least two pulse sound characteristic values are analyzed to obtain the regularity evaluation information.
具体的，所述处理器220通过统计学分析和/或机器学习方式对所述至少两个脉搏音特征值进行分析，而得到所述规则性评价信息，可包括：所述处理器220通过统计学分析方法对所述至少两个脉搏音特征值进行分析，得到统计分析数据，以及根据所述统计分析数据得到所述规则性评价信息；和/或通过机器学习方法，将所述至少两个脉搏音特征值作为输入，而得出所述规则性评价信息这一输出。即，将所述至少两个脉搏音特征值作为机器学习模型的输入，而得出所述规则性评价信息这一输出。Specifically, the processor 220 analyzes the at least two pulse sound feature values through statistical analysis and/or machine learning to obtain the regularity evaluation information, which may include: the processor 220 performs statistical analysis The scientific analysis method analyzes the at least two pulse sound characteristic values to obtain statistical analysis data, and obtains the regularity evaluation information according to the statistical analysis data; and/or combines the at least two pulse sound The pulse sound characteristic value is used as input, and the output of the regularity evaluation information is obtained. That is, the at least two pulse sound feature values are used as the input of the machine learning model to obtain the output of the regularity evaluation information.
在一些实施例中，所述处理器220还用于根据规则性评价信息输出提示信息。In some embodiments, the processor 220 is further configured to output prompt information according to the regularity evaluation information.
其中，所述提示信息包括脉搏波相关信息、可执行功能的相关信息以及所述规则性评价信息中的至少一种；Wherein, the prompt information includes at least one of pulse wave related information, executable function related information, and the regularity evaluation information;
其中，所述规则性评价信息的类型包括用于表示规则或不规则的脉搏搏动和/或心脏节律的评价结果，所述脉搏波相关信息包括脉搏波波形和/或节律量化参数值，所述可执行功能为所述规则性评价信息满足预设条件时下一步可执行的功能。Wherein, the type of regularity evaluation information includes an evaluation result used to indicate regular or irregular pulse beats and/or heart rhythms, and the pulse wave-related information includes pulse wave waveforms and/or rhythm quantification parameter values, and The executable function is a function that can be executed in the next step when the regularity evaluation information meets the preset condition.
其中，所述节律量化参数值包括脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度在内的至少一个特征值和/或至少包括根据至少一个特征值统计分析出的最值、比值、加和、积分、差值、均值、标准差、最大间隔期、最小间隔期，显示变异度， 变异次数之一在内的统计分析数据。Wherein, the rhythm quantitative parameter value includes at least one characteristic value including pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, and pulse width, and/or at least includes the maximum value statistically analyzed according to at least one characteristic value , Ratio, Sum, Integral, Difference, Mean, Standard Deviation, Maximum Interval, Minimum Interval, show the degree of variability, statistical analysis data including one of the times of variation.
其中，所述监护设备200还包括显示屏240，所述所述规则性评价信息可现实与所述显示屏的第一显示区域，所述脉搏波相关信息可显示于所述显示屏的第二显示区域，可执行功能的相关信息可显示于所述显示屏的第三显示区域。即，所述提示信息具体地可至少包括以下之一：显示在所述显示屏240的第一显示区域的所述规则性评价信息；显示在所述显示屏240的第二显示区域的脉搏波相关信息；显示在所述显示屏240的第三显示区域的可执行功能的相关信息，其中，所述可执行功能为所述规则性评价信息满足预设条件时下一步可执行的功能。Wherein, the monitoring device 200 further includes a display screen 240, the regularity evaluation information can be displayed on the first display area of the display screen, and the pulse wave related information can be displayed on the second display area of the display screen. In the display area, relevant information about executable functions can be displayed in the third display area of the display screen. That is, the prompt information may specifically include at least one of the following: the regularity evaluation information displayed in the first display area of the display screen 240; and the pulse wave displayed in the second display area of the display screen 240 Related information; related information of the executable function displayed in the third display area of the display screen 240, wherein the executable function is the next executable function when the regularity evaluation information meets the preset condition.
其中，所述规则性评价信息可包括用于表示规则或不规则的评价结果。所述规则性评价信息至少通过以下形式之一的方式显示：文字、图案、光、声音、震动。Wherein, the regularity evaluation information may include evaluation results used to indicate rules or irregularities. The regularity evaluation information is displayed in at least one of the following forms: text, pattern, light, sound, and vibration.
其中，所述处理器220根据所述规则性评价信息为用于表示规则或不规则而显示相应的提示信息。Wherein, the processor 220 displays corresponding prompt information according to whether the regularity evaluation information is used to indicate a rule or an irregularity.
请返回参考图3，如图3所示，所述提示信息可仅包括“疑似不规则脉搏”这一规则性评价信息P1，此时，所述第一显示区域A1可为显示屏的整个显示区域或者显示屏显示的当前界面中的某一区域。所述当前界面可为监护设备200的某一功能界面或者***界面。可以理解地，规则性评价信息P1还可以包括“不规则脉搏”、“不规则”、“脉搏异常”、“异常”、“脉搏间隔不规则”等其他文字，只要其可以提示测量对象当前出现脉搏不规则或者可能出现脉搏不规则的情况即可，在其文字表达形式上不做限制。Please refer back to FIG. 3. As shown in FIG. 3, the prompt information may only include the regular evaluation information P1 of "suspected irregular pulse". At this time, the first display area A1 may be the entire display of the display screen. Area or a certain area in the current interface displayed on the screen. The current interface may be a certain functional interface or system interface of the monitoring device 200. Understandably, the regularity evaluation information P1 can also include other words such as "irregular pulse", "irregular", "abnormal pulse", "abnormal", "irregular pulse interval", etc., as long as it can prompt the measurement object to be present. Irregular pulse or irregular pulse may occur, and there is no restriction on its written expression.
显然，当规则性评价信息为规则时，所述提示信息可为“规则脉搏”、“规则”、“正常”等能够提示测量对象当前脉搏正常的文字信息。Obviously, when the regularity evaluation information is a rule, the prompt information may be "regular pulse", "rule", "normal" and other text information that can prompt the measurement subject to have a normal pulse.
提示信息包括规则性评价信息时，用户可以直接地看到设备智能分析的结果，便捷直观，方便用户执行后续检查，例如，预约心电图检查、超声检查等。When the prompt information includes regular evaluation information, the user can directly see the results of the device's intelligent analysis, which is convenient and intuitive, and facilitates the user to perform follow-up examinations, such as booking an ECG examination, ultrasound examination, etc.
请返回参考图4，如图4所示，所述提示信息可仅包括显示于第二显示区域A2的脉搏波相关信息P2。同样的，所述第二显示区域A2可为显示屏的整个显示区域或者显示屏显示的当前界面中的某一区域。当第二显示区域A2为当前界面的某一区域时，所述提示信息可通过弹窗方式显示在当前界面上。当所述第二显示区域A2为显示屏的整个显示区域时，所述提示信息可为从当前界面切换到一提示界面后，显示于所述提示界面中。Please refer back to FIG. 4, as shown in FIG. 4, the prompt information may only include the pulse wave related information P2 displayed in the second display area A2. Similarly, the second display area A2 may be the entire display area of the display screen or a certain area in the current interface displayed on the display screen. When the second display area A2 is a certain area of the current interface, the prompt information can be displayed on the current interface through a pop-up window. When the second display area A2 is the entire display area of the display screen, the prompt information may be displayed on the prompt interface after switching from the current interface to a prompt interface.
提示信息包括脉搏波相关信息P2时，可以给用户提供波形参考，供用户确认规则性评价信息。When the prompt information includes pulse wave related information P2, it can provide the user with a waveform reference for the user to confirm the regular evaluation information.
请返回参考图5，如图5所示，所述提示信息还可同时包括所述规则性评价信息P1和所述脉搏波相关信息P2。所述规则性评价信息P1位于的第一显示区域A1和所述脉搏波相关信息P2位于的第二显示区域A2相邻设置。可以理解地，第一显示区域A1与第二显示区域A2也可以不相邻，可以任意设置。在本实施例中，第一显示区域A1和第二显示区域A2的相邻设置可以方便用户直观地查看规则性评价信息和结合脉搏波相关信息，根据脉搏波相关信息判断测量对象的发生规则性评价信息的具体原因。Please refer back to FIG. 5. As shown in FIG. 5, the prompt information may also include the regularity evaluation information P1 and the pulse wave related information P2. The first display area A1 where the regularity evaluation information P1 is located is adjacent to the second display area A2 where the pulse wave related information P2 is located. Understandably, the first display area A1 and the second display area A2 may not be adjacent to each other, and may be set arbitrarily. In this embodiment, the adjacent settings of the first display area A1 and the second display area A2 can facilitate the user to intuitively view the regularity evaluation information and combine the pulse wave related information to determine the occurrence regularity of the measurement object based on the pulse wave related information Specific reasons for evaluating information.
请返回参阅图6，如图6所示，所述提示信息可同时包括显示于第一显示区域A1的规则性评价信息P1、显示于第二显示区域A2的脉搏波相关信息P2以及显示于第三显示区域A3的可执行功能的相关信息P3。显示可执行功能的相关信息P3可以起到对下一步需要执行的相关操作起到提示和指引作用，便于用户获悉和执行下一步需要执行的操作。Please refer back to FIG. 6. As shown in FIG. 6, the prompt information may include regularity evaluation information P1 displayed in the first display area A1, pulse wave related information P2 displayed in the second display area A2, and pulse wave related information P2 displayed in the second display area A2. 3. Information P3 related to the executable function of the area A3 is displayed. Displaying the relevant information P3 of the executable function can play a role of prompting and guiding the relevant operation to be performed in the next step, so that the user can learn and execute the operation to be performed in the next step.
其中，所述第一显示区域A1、所述二显示区域A2以及所述第三显示区域A3依次相邻A3设置。显然，在其他实施例中，也可以为所述第一显示区域A1、所述第三显示区域A3以及所述二显示区域A2依次相邻设置，只要确保多个区域为相邻设置即可，顺序可以任意调整。Wherein, the first display area A1, the second display area A2, and the third display area A3 are sequentially arranged adjacent to A3. Obviously, in other embodiments, the first display area A1, the third display area A3, and the second display area A2 may be arranged adjacently in sequence, as long as it is ensured that multiple areas are arranged adjacently. The order can be adjusted arbitrarily.
从而，本申请中，当存在至少两个显示区域时，所述至少两个显示区域相邻位于显示 屏240上的。可以理解地，将至少两个显示区域相邻设置在显示屏上是为了方便用户查看规则性评价信息、脉搏波相关信息和可执行功能的相关的信息。在本申请的其他实施例中，显示区域可以不相邻设置。Therefore, in the present application, when there are at least two display areas, the at least two display areas are located on the display screen 240 adjacently. Understandably, the at least two display areas are arranged adjacently on the display screen to facilitate the user to view the regularity evaluation information, pulse wave related information, and executable function related information. In other embodiments of the present application, the display areas may not be arranged adjacently.
请返回参阅图7及图8，如图7所示，第一显示区域P1和第二显示区域P2不相邻。在本实施例中，显示屏还包括触控区域T，用于收起或展开第二显示区域P2以对应地隐藏或显示脉搏波相关信息A2。如图8所示，只在第一显示区域P1显示规则性评价信息A1，便于用户关注规则性评价信息A1，第二显示区域P2收起，脉搏波相关信息A2隐藏。该设置使得用户可以根据实际需要选择查看或隐藏脉搏波相关信息，当脉搏波相关信息隐藏时，显示屏界面整洁美观；当用户规则性评价信息A1提示“不规则”或者用户因其他原因需要查看脉搏波相关信息A2时，可以通过点击触控区域T，展开第二显示区域P2进行查看。Please refer back to FIG. 7 and FIG. 8. As shown in FIG. 7, the first display area P1 and the second display area P2 are not adjacent. In this embodiment, the display screen further includes a touch area T for retracting or expanding the second display area P2 to hide or display the pulse wave related information A2 accordingly. As shown in FIG. 8, only the regularity evaluation information A1 is displayed in the first display area P1, which is convenient for the user to pay attention to the regularity evaluation information A1, the second display area P2 is retracted, and the pulse wave related information A2 is hidden. This setting allows users to choose to view or hide pulse wave related information according to actual needs. When pulse wave related information is hidden, the display screen interface is clean and beautiful; when the user’s regular evaluation information A1 prompts “irregular” or the user needs to view it for other reasons When the pulse wave related information A2, you can click the touch area T to expand the second display area P2 for viewing.
其中，所述包括所述规则性评价信息、脉搏波相关信息以及可执行功能的相关信息提示信息中至少之一的提示信息还可以通过弹窗方式显示在当前界面上，或为从当前界面切换到一提示界面后，显示于所述提示界面中。Wherein, the prompt information including at least one of the regularity evaluation information, pulse wave related information, and executable function related information prompt information can also be displayed on the current interface in a pop-up window, or switch from the current interface After reaching a prompt interface, it is displayed in the prompt interface.
其中，在一些实施例中，所述规则性评价信息至少通过以下形式之一的方式显示：文字、图案、光。Wherein, in some embodiments, the regularity evaluation information is displayed in at least one of the following forms: text, pattern, and light.
例如，如图3所示，所述规则性评价信息可同时包括文字和图案：“疑似不规则脉搏
Figure PCTCN2019098456-appb-000002
”。显然，所述显示屏上还可设置指示灯，还可通过所述指示灯发出的光来指示规则性评价信息，例如，当发出红光时，指示“不规则”，当发出绿光时，指示“规则”。 For example, as shown in Figure 3, the regularity evaluation information may include both text and patterns: "Suspected irregular pulse
Figure PCTCN2019098456-appb-000002
Obviously, an indicator light can also be provided on the display, and the regularity evaluation information can also be indicated by the light emitted by the indicator light. For example, when a red light is emitted, it indicates "irregularity", and when a green light is emitted When, indicate "rules".
在一些实施例中，当提示信息为弹窗显示且包括所述规则性评价信息、脉搏波相关信息以及可执行功能的相关信息提示信息中的至少两个时，所述规则性评价信息、脉搏波相关信息以及可执行功能的相关信息提示信息中的至少两个可显示于相同的窗口中，也可以显示于不同的窗口中。即，所述第一显示区域A1、所述二显示区域A2以及所述第三显示区域A3中的至少两个可位于相同的窗口中，也可以位于不同的窗口中。In some embodiments, when the prompt information is displayed in a pop-up window and includes at least two of the regularity evaluation information, pulse wave related information, and executable function related information, the regularity evaluation information, pulse wave At least two of the wave-related information and the relevant information prompt information of the executable function may be displayed in the same window, or may be displayed in different windows. That is, at least two of the first display area A1, the second display area A2, and the third display area A3 may be located in the same window, or may be located in different windows.
如图4-6所述，所述第二显示区域A2还包括第一子显示区域A21，所述脉搏波相关信息包括显示在第一子显示区域内的一段时间内的脉搏波波形。所述脉搏波波形为根据所述周期性生理信号中提取出与所述测量对象相关的脉搏波信号得出的对应的脉搏波波形。通过将脉搏波波形进行显示，可直观显示脉搏的搏动情况。As shown in FIGS. 4-6, the second display area A2 further includes a first sub display area A21, and the pulse wave related information includes pulse wave waveforms displayed in the first sub display area for a period of time. The pulse wave waveform is a corresponding pulse wave waveform obtained by extracting a pulse wave signal related to the measurement object from the periodic physiological signal. By displaying the pulse wave waveform, the pulsation of the pulse can be visually displayed.
如图4-6所示，所述第二显示区域A2包括第二子显示区域A22，所述脉搏波相关信息还包括节律量化参数值，所述节律量化参数值包括显示在第二子显示区域A22的特征值和/或一时间段内特征值的统计分析数据和/或包括变异度阈值、变异次数阈值在内的至少一个阈值。其中，所述统计分析数据包括所述特征值的最值、比值、加和、积分、差值、均值、标准差、最大间隔期、最小间隔期、显示变异度、变异次数、最大脉率值、最小脉率值中的至少一种数据；所述特征值包括：脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度中的至少一种。即，所述脉搏波相关信息还可包括直接根据所述脉搏波信号获取的表征脉搏波的波动节律的特征值，和/或，对该些特征值进行统计分析后得出的统计分析数据。As shown in FIGS. 4-6, the second display area A2 includes a second sub display area A22, the pulse wave related information also includes rhythm quantization parameter values, and the rhythm quantization parameter values include displayed in the second sub display area The characteristic value of A22 and/or the statistical analysis data of the characteristic value in a period of time and/or at least one threshold including the threshold of the degree of variation and the threshold of the number of times of variation. Wherein, the statistical analysis data includes the maximum value, ratio, sum, integral, difference, mean, standard deviation, maximum interval, minimum interval, display variability, number of variations, and maximum pulse rate of the characteristic value At least one of the minimum pulse rate values; the characteristic value includes: at least one of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, and pulse width. That is, the pulse wave-related information may also include characteristic values representing the fluctuation rhythm of the pulse wave obtained directly from the pulse wave signal, and/or statistical analysis data obtained after statistical analysis of these characteristic values.
如图4-6所示，所述第一子显示区域A21和所述第二子显示区域A22相邻设置。其中，第一子显示区域A21和所述第二子显示区域A22的具***置关系不限，例如，如图4所示，所述第二子显示区域A22在上方，或者，如图5-6所示，可为第一子显示区域A21在上方。As shown in FIGS. 4-6, the first sub-display area A21 and the second sub-display area A22 are adjacently arranged. The specific positional relationship between the first sub-display area A21 and the second sub-display area A22 is not limited. For example, as shown in FIG. 4, the second sub-display area A22 is on the upper side, or as shown in FIG. 5-6 As shown, the first sub-display area A21 may be at the top.
在一些实施例中，所述可执行功能的相关信息包括可执行功能的指引信息和/或可执行功能的功能图标。In some embodiments, the information related to the executable function includes guide information of the executable function and/or function icon of the executable function.
其中，所述可执行功能的指引信息用于在该监护设备200输出提示信息后，告知用户可通过监护设备200进行的可执行功能，该指引信息可为文字或图案，用于引导用户了解监护设备200所具有的可执行功能以及如何触发该些可执行功能。Wherein, the guide information of the executable function is used to inform the user of the executable function that can be performed by the monitoring device 200 after the monitoring device 200 outputs the prompt information. The guide information can be text or pattern to guide the user to understand the monitoring The executable functions of the device 200 and how to trigger the executable functions.
如图6所示，所述可执行功能的相关信息还可直接包括可执行功能的功能图标B1，从而，通过更直接的方式显示每个可执行功能的功能图标B1，而供用户操作而触发相应的可执行功能。As shown in FIG. 6, the relevant information of the executable function may also directly include the function icon B1 of the executable function, so that the function icon B1 of each executable function is displayed in a more direct manner, and the function icon B1 of each executable function is displayed for user operation to trigger The corresponding executable function.
因此，所述处理器220还用于响应对所述功能图标B1的触发操作，控制执行所述功能图标B1对应的功能。Therefore, the processor 220 is further configured to control the execution of the function corresponding to the function icon B1 in response to the trigger operation on the function icon B1.
如图6所示，所述可执行功能包括打印脉搏波波形、预约ECG检查、预约超声检查在内的至少一个，以及还可以包括其他功能，例如用户自定义的常用功能。相应的，所述功能图标B1可包括打印脉搏波波形功能图标、预约ECG检查功能图标、预约超声检查功能图标在内的至少一个功能图标。As shown in FIG. 6, the executable functions include at least one of printing pulse wave waveforms, scheduling ECG examinations, and scheduling ultrasound examinations, and may also include other functions, such as user-defined common functions. Correspondingly, the function icon B1 may include at least one function icon including a function icon for printing pulse wave waveforms, a function icon for scheduled ECG examination, and a function icon for scheduled ultrasound examination.
如前所述，所述规则性评价信息的类型包括用于表示规则或不规则的脉搏搏动和/或心脏节律，在一些实施例中，所述处理器220还用于在所述规则性评价信息为不规则时，输出报警信息。As mentioned above, the type of regularity evaluation information includes regular or irregular pulse beats and/or heart rhythms. In some embodiments, the processor 220 is also used for evaluating regularity. When the information is irregular, output alarm information.
所述报警信息的表现形式包括文字、图案、光、声音、振动中的至少一种。The presentation form of the alarm information includes at least one of text, pattern, light, sound, and vibration.
如图16所示，所述监护设备200还包括指示灯250、扬声器260以及振动器270。As shown in FIG. 16, the monitoring device 200 further includes an indicator light 250, a speaker 260, and a vibrator 270.
当所述报警信息为所述文字和/或图案时，所述处理器220可控制所述显示屏240显示所述文字和/或图案，当所述报警信息为光时，所述处理器220可控制所述显示屏或所述指示灯250显示相应的光，例如，控制显示屏整屏或特定区域显示红色等颜色，或控制指示灯250发出红色的光。When the alarm information is the text and/or pattern, the processor 220 may control the display screen 240 to display the text and/or pattern. When the alarm information is light, the processor 220 The display screen or the indicator light 250 can be controlled to display corresponding light, for example, the entire screen or a specific area of the display screen can be controlled to display colors such as red, or the indicator light 250 can be controlled to emit red light.
其中，所述指示灯250具体可为包括红色LED灯、绿色LED灯以及蓝色LED灯的指示灯，所述处理器220可通过控制不同颜色和/或数量的LED灯发光而产生或混色出相应的颜色光。Wherein, the indicator light 250 may specifically be an indicator light including a red LED light, a green LED light, and a blue LED light. The processor 220 may generate or mix colors by controlling the lighting of different colors and/or numbers of LED lights. The corresponding color light.
当所述报警信息为声音报警信息时，所述处理器220可控制扬声器260输出声音。When the alarm information is sound alarm information, the processor 220 may control the speaker 260 to output sound.
当所述报警信息为振动时，所述处理器220可控制振动器270产生振动。When the alarm information is vibration, the processor 220 may control the vibrator 270 to generate vibration.
在一些实施例中，所述处理器220在所述规则性评价信息为不规则时，还根据获取的特征值确定报警档位，并控制输出相应报警档位的报警信息，其中，所述报警档位包括至少两个档位。In some embodiments, when the regularity evaluation information is irregular, the processor 220 also determines the alarm gear according to the acquired characteristic value, and controls the output of the alarm information of the corresponding alarm gear, wherein the alarm The gear positions include at least two gear positions.
具体的，所述处理器220将获取的特征值与多个参考值进行比较，确定特征值所处于的特征值区间，根据确定出的特征值区间以及特征值区间与报警档位的对应关系，确定对应的报警档位。Specifically, the processor 220 compares the acquired characteristic value with multiple reference values, determines the characteristic value interval in which the characteristic value is located, and according to the determined characteristic value interval and the corresponding relationship between the characteristic value interval and the alarm gear, Determine the corresponding alarm gear.
例如，当获取的特征值为时域特征值中的斜率时，处理器220在所述斜率为大于等于第一斜率且小于第一斜率时，确定对应的报警档位为第一报警档位，并控制发出绿光或者较小分贝的声音报警信息；处理器220在所述斜率大于等于第一斜率且小于第三斜率时，确定对应的报警档位为第二报警档位，并控制发出橙光或者中等分贝的声音报警信息；处理器220在所述斜率大于等于第三斜率时，确定对应的报警档位为第三报警档位，并控制发出红光或者最高分贝的声音报警信息。For example, when the acquired characteristic value is the slope in the time domain characteristic value, the processor 220 determines that the corresponding alarm gear is the first alarm gear when the slope is greater than or equal to the first slope and less than the first slope, And control to emit a green light or an audible alarm message with a smaller decibel; when the slope is greater than or equal to the first slope and less than the third slope, the processor 220 determines that the corresponding alarm gear is the second alarm gear, and controls to emit orange Light or medium-decibel sound alarm information; when the slope is greater than or equal to the third slope, the processor 220 determines that the corresponding alarm gear is the third alarm gear, and controls to emit a red light or the highest-decibel sound alarm information.
其中，所述第一斜率小于所述第二斜率，所述第二斜率小于所述第三斜率。其中，所述第一报警档位小于第二报警档位，所述第二报警档位小于第三报警档位。Wherein, the first slope is smaller than the second slope, and the second slope is smaller than the third slope. Wherein, the first alarm gear is smaller than the second alarm gear, and the second alarm gear is smaller than the third alarm gear.
其中，所述报警档位的数量可为2个、3个、4个等任意合适的值。Wherein, the number of the alarm gears can be any suitable value such as 2, 3, 4, etc.
其中，所述特征值区间与报警档位的对应关系可为预先存储于存储器230中的对应关系表、对应关系曲线等。The correspondence relationship between the characteristic value interval and the alarm gear position may be a correspondence relationship table, a correspondence relationship curve, etc., pre-stored in the memory 230.
在一些实施例中，所述处理器220还用于响应用户输入的结果更改操作或确认操作，对所述为用于表示规则或不规则的规则性评价信息的进行更改或确认。In some embodiments, the processor 220 is further configured to respond to a result change operation or confirmation operation input by the user, and change or confirm the regularity evaluation information used to indicate a rule or an irregularity.
请返回参阅图9，如图9所示，所述提示信息可为弹窗方式显示于某一界面上，所述提示信息包括详细信息区Z1以及判断区Z2，所述详细信息区Z1显示有详细信息供用户进 行判断是否规则，所述判断区Z2包括“规则”、“不规则”的选项，所述“规则”、“不规则”的选项用于供用户选择而得出所述规则性评价信息。其中，所述详细信息包括：脉搏波信号(图中的“pleth”区域)、脉搏标识、脉搏间期测量值、最大间隔期、最小间隔期，显示变异度等信息。在本申请的一些实施例中，详细信息的内容与提示信息的内容完全不重叠，详细信息给出比提示信息更多的信息。可以理解地，在本申请的另一些实施例中，详细信息包含的内容也可以和提示信息的包含的内容部分一致或完全一致。Please refer back to Figure 9. As shown in Figure 9, the prompt information can be displayed on an interface in a pop-up window. The prompt information includes a detailed information zone Z1 and a judgment zone Z2. The detailed information zone Z1 displays The detailed information is for the user to judge whether the rule is ruled or not. The judgment zone Z2 includes the options of “rule” and “irregular”. The options of “rule” and “irregular” are used for the user to select to obtain the regularity. Evaluation information. Wherein, the detailed information includes: pulse wave signal ("pleth" area in the figure), pulse identification, pulse interval measurement value, maximum interval, minimum interval, display variability and other information. In some embodiments of the present application, the content of the detailed information does not overlap with the content of the prompt information at all, and the detailed information gives more information than the prompt information. Understandably, in other embodiments of the present application, the content contained in the detailed information may also be partially or completely consistent with the content contained in the prompt information.
例如，所述处理器220响应对“规则”选项的选择操作而确定规则性评价信息为规则，或者响应对“不规则”选项的选择操作而确认规则性评价信息为不规则。For example, the processor 220 determines that the regularity evaluation information is a rule in response to a selection operation of the "rule" option, or confirms that the regularity evaluation information is irregular in response to a selection operation of the "irregular" option.
请返回参阅图10，如图10所示，所述提示信息包括显示于监护设备200的某一界面上“规则”、“不规则”选择框。所述“规则”、“不规则”的选项用于供用户选择而确认或更改所述规则性评价信息。Please refer back to FIG. 10. As shown in FIG. 10, the prompt message includes a "rule" and "irregular" selection box displayed on a certain interface of the monitoring device 200. The "rule" and "irregular" options are used for the user to choose to confirm or modify the regular evaluation information.
即，如图10所示，通过当前选择的“规则”选择框S1、“不规则”选择框S2提示当前的规则性评价信息，并可通过响应用户对“规则”选择框S1或“不规则”选择框S2的选择，而更改规则性评价信息。That is, as shown in FIG. 10, the current regularity evaluation information is prompted through the currently selected "rule" selection box S1 and "irregular" selection box S2, and the user can respond to the user's response to the "rule" selection box S1 or "irregular "Select box S2 to change the regular evaluation information.
在另一实施例中，所述整个界面可为提示信息界面。In another embodiment, the entire interface may be a prompt information interface.
如图10所示，所述提示信息还包括界面提供操作接口，用于供用户调出详细信息辅助用户判断，所述详细信息包括：脉搏波信号(图中的“pleth”区域)、脉搏标识、脉搏间期测量值、最大脉搏间期、最小脉搏间期、脉搏间期变异度等信息，或者还进一步包括变异度阈值、变异次数、变异次数阈值、最大脉率、最小脉率等信息。As shown in Figure 10, the prompt information also includes an interface to provide an operation interface for the user to call up detailed information to assist the user in judgment. The detailed information includes: pulse wave signal ("pleth" area in the figure), pulse identifier , Pulse interval measurement value, maximum pulse interval, minimum pulse interval, pulse interval variability and other information, or further including the variability threshold, the number of mutations, the threshold of the number of mutations, the maximum pulse rate, the minimum pulse rate and other information.
其中，图7-图10的提示信息也可在处理器220控制输出报警信息时进行输出的，例如输出声音报警信息时，同时控制显示屏240显示相应的提示信息。Wherein, the prompt information of FIGS. 7-10 may also be output when the processor 220 controls the output of the alarm information, for example, when the sound alarm information is output, the display screen 240 is simultaneously controlled to display corresponding prompt information.
在一些实施例中，所述处理器220在根据规则性评价信息输出提示信息之前，还用于根据规则性评价信息确定要显示的提示信息。In some embodiments, the processor 220 is further configured to determine the prompt information to be displayed according to the regularity evaluation information before outputting the prompt information according to the regularity evaluation information.
例如，所述处理器220在规则性评价信息为规则时，确定要显示的提示信息的中的规则性评价信息为“规则”等文字或图案，在规则性评价信息为不规则时，确定要显示的提示信息的中的规则性评价信息为“不规则”等文字或图案。For example, when the regularity evaluation information is regular, the processor 220 determines that the regularity evaluation information in the prompt information to be displayed is a text or pattern such as "rules", and when the regularity evaluation information is irregular, it determines that the regularity evaluation information is irregular. The regularity evaluation information in the displayed prompt information is text or patterns such as "irregular".
在一些实施例中，所述监护设备200还包括通信单元280，所述通信单元280用于与科室级工作站设备和/或院级数据中心/院级急救中心管理设备等监护管理设备300建立通信连接。其中，当监护设备200为移动监护设备时，所述通信单元280还可用于与床边监护设备202以及科室级工作站设备和/或院级数据中心/院级急救中心管理设备等监护管理设备300建立通信连接。In some embodiments, the monitoring device 200 further includes a communication unit 280, which is used to establish communication with a monitoring management device 300 such as department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment. connection. Wherein, when the monitoring device 200 is a mobile monitoring device, the communication unit 280 can also be used to communicate with the bedside monitoring device 202 and department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment and other monitoring management equipment 300 Establish a communication connection.
其中，所述通信单元280包括蓝牙模组、WMTS通信模组、NFC通信模组、WIFI通信模组以及2G/3G/4G/5G等移动通信网络模组中的至少一种。Wherein, the communication unit 280 includes at least one of a Bluetooth module, a WMTS communication module, an NFC communication module, a WIFI communication module, and a mobile communication network module such as 2G/3G/4G/5G.
所述处理器220还用于通过通信单元280将所述提示信息发送给科室级工作站设备和/或院级数据中心/院级急救中心管理设备等监护管理设备300，通过所述科室级工作站设备和/或院级数据中心/院级急救中心管理设备输出所述提示信息。The processor 220 is further configured to send the prompt information to the department-level workstation equipment and/or the hospital-level data center/hospital-level emergency center management equipment and other monitoring and management equipment 300 through the communication unit 280, through the department-level workstation equipment And/or the hospital-level data center/hospital-level emergency center management equipment outputs the prompt information.
其中，当所述监护设备200为移动监护设备201时，所述处理器220可将所述规则性评价信息或所述提示信息发送给床边监护设备202、科室级工作站设备和/或院级数据中心/院级急救中心管理设备等监护管理设备300，通过所述床边监护设备202、科室级工作站设备和/或院级数据中心/院级急救中心管理设备根据规则性评价信息输出所述提示信息。Wherein, when the monitoring device 200 is a mobile monitoring device 201, the processor 220 may send the regularity evaluation information or the prompt information to the bedside monitoring device 202, department-level workstation equipment, and/or hospital-level Monitoring and management equipment 300 such as data center/hospital-level emergency center management equipment, through the bedside monitoring equipment 202, department-level workstation equipment, and/or hospital-level data center/hospital-level emergency center management equipment, output the information according to the regularity evaluation information Prompt information.
即，当所述监护设备200为移动监护设备201时，还可将提示信息发送给床边监护设备202进行显示输出。That is, when the monitoring device 200 is a mobile monitoring device 201, the prompt information can also be sent to the bedside monitoring device 202 for display output.
在一些实施例中，所述处理器220还用于通过通信单元280将所述周期性生理信号发送给科室级工作站设备和/或院级数据中心/院级急救中心管理设备，通过科室级工作站设备 和/或院级数据中心/院级急救中心管理设备进行“从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号”、“处理所述脉搏波信号以提取脉搏波信号”、“根据所述脉搏波信号获取表征脉搏波的波动节律的特征值”以及“分析所述特征值得到规则性评价信息”等处理操作而得到规则性评价信息。In some embodiments, the processor 220 is further configured to send the periodic physiological signals to department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment through the communication unit 280, through the department-level workstation Equipment and/or hospital-level data center/hospital-level emergency center management equipment performs "extracting the pulse wave signal related to the measurement object from the periodic physiological signal" and "processing the pulse wave signal to extract the pulse wave signal "Acquire the characteristic value of the fluctuation rhythm of the pulse wave according to the pulse wave signal" and "analyze the characteristic value to obtain the regularity evaluation information" to obtain the regularity evaluation information.
在一些实施例中，所述处理器220还用于通过所述通信单元280从科室级工作站设备和/或院级数据中心/院级急救中心管理设备接收规则性评价信息，并根据接收到的规则性评价信息输出提示信息。In some embodiments, the processor 220 is further configured to receive regularity evaluation information from department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment through the communication unit 280, and according to the received The regularity evaluation information outputs prompt information.
显然，当所述监护设备200为移动监护设备201时，所述处理器220可为将所述周期性生理信号发送给床边监护设备202、科室级工作站设备和/或院级数据中心/院级急救中心管理设备等，通过床边监护设备202、科室级工作站设备和/或院级数据中心/院级急救中心管理设备等进行处理操作而得到规则性评价信息；以及所述处理器220还可从床边监护设备202、科室级工作站设备和/或院级数据中心/院级急救中心管理设备接收规则性评价信息，并根据接收到的规则性评价信息输出提示信息。Obviously, when the monitoring device 200 is a mobile monitoring device 201, the processor 220 may send the periodic physiological signals to the bedside monitoring device 202, department-level workstation equipment and/or hospital-level data center/hospital. Level emergency center management equipment, etc., through the bedside monitoring equipment 202, department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment, etc., to obtain regular evaluation information; and the processor 220 also Regularity evaluation information can be received from the bedside monitoring equipment 202, department-level workstation equipment, and/or hospital-level data center/hospital-level emergency center management equipment, and output prompt information according to the received regularity evaluation information.
在进一步的实施例中，所述提示信息也可为科室级工作站设备和/或院级数据中心/院级急救中心管理设备确定出后，再发送给所述监护设备200进行显示输出。In a further embodiment, the prompt information may also be determined by department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment, and then sent to the monitoring device 200 for display output.
即，在进一步的实施例中，所述处理器220通过所述通信单元280从科室级工作站设备和/或院级数据中心/院级急救中心管理设备接收的可直接为提示信息。That is, in a further embodiment, the processor 220 may directly receive prompt information from department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment through the communication unit 280.
在一些实施例中，所述处理器220还用于执行如下的操作：在处理所述脉搏波信号以提取脉搏波信号后，对脉搏波信号进行质量分析得到质量评价值；将质量评价值与一预设阈值进行比较；当确定所述质量评价值小于预设阈值时，不进行后续的规则性评价信息的分析步骤或者不输出提示信息，或者在不进行后续的规则性评价信息的分析步骤的情况下输出提示信息；当确定所述质量评价值大于等于预设阈值时，进行后续的规则性评价信息的分析步骤。In some embodiments, the processor 220 is further configured to perform the following operations: after processing the pulse wave signal to extract the pulse wave signal, perform quality analysis on the pulse wave signal to obtain a quality evaluation value; and compare the quality evaluation value with A preset threshold value for comparison; when it is determined that the quality evaluation value is less than the preset threshold value, the subsequent analysis step of regularity evaluation information is not performed or prompt information is not output, or the subsequent analysis step of regularity evaluation information is not performed In the case of outputting prompt information; when it is determined that the quality evaluation value is greater than or equal to the preset threshold, the subsequent step of analyzing the regularity evaluation information is performed.
其中，所述质量评价值可为前述的质量因子。Wherein, the quality evaluation value may be the aforementioned quality factor.
在一些实施例中，所述“进行后续的规则性评价信息的分析步骤”还可包括：将所述质量评价值映射为所述获取出的特征值的质量因子系数；将所述特征值和质量因子系数计算得到校正特征值；根据所述校正特征值进行分析，得到所述规则性评价信息。In some embodiments, the “performing the subsequent step of analyzing the regularity evaluation information” may further include: mapping the quality evaluation value to the quality factor coefficient of the acquired characteristic value; and combining the characteristic value and The quality factor coefficient is calculated to obtain the corrected characteristic value; the analysis is performed according to the corrected characteristic value to obtain the regularity evaluation information.
与前类似的，所述处理器220采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述脉搏波信号进行特征提取而获取至少一个特征值；以及根据所述至少一个特征值得到质量评价值。Similar to the previous, the processor 220 uses at least one analysis technique of time domain technology, frequency domain technology, and nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least one feature value; and The at least one characteristic value obtains a quality evaluation value.
具体的，所述处理器220可采用时域技术、频域技术以及非线性动力学技术中的其中一种分析技术对所述脉搏波信号进行特征提取而获取至少一个特征值。Specifically, the processor 220 may use one of time domain technology, frequency domain technology, and nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least one feature value.
或者，所述处理器220可采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述脉搏波信号进行特征提取而获取至少两类特征值，根据两类特征值以及每类特征值的权重值得出最终的特征值。Alternatively, the processor 220 may use at least one analysis technology of time domain technology, frequency domain technology, and nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least two types of feature values. The value and the weight of each type of feature value yield the final feature value.
具体请参考前述的相关描述。For details, please refer to the aforementioned description.
其中，所述处理器220进行后续的规则性评价信息的分析步骤，也还可包括：所述处理器220根据质量评价值确定所述特征值的权重值以及所述质量质量评价值的权重值；根据所述特征值的权重值以及所述质量评价值的权重值对所述特征值和所述质量评价值进行加权计算得到加权特征值；根据加权特征值进行分析，得到所述规则性评价信息。Wherein, the processor 220 performing the subsequent step of analyzing the regularity evaluation information may also include: the processor 220 determining the weight value of the characteristic value and the weight value of the quality quality evaluation value according to the quality evaluation value According to the weight value of the characteristic value and the weight value of the quality evaluation value, the characteristic value and the quality evaluation value are weighted and calculated to obtain the weighted characteristic value; the weighted characteristic value is analyzed to obtain the regularity evaluation information.
在一些实施例中，所述处理器220不进行后续的规则性评价信息的分析步骤的情况下直接输出提示信息指的是不基于规则评价信息来输出提示信息。在一实施例中，提示信息包括脉搏波相关信息，即直接输出脉搏波相关信息，其中，脉搏波相关信息包括脉搏波波形和节律量化参数值。In some embodiments, the processor 220 directly outputting the prompt information without performing the subsequent step of analyzing the regularity evaluation information refers to outputting the prompt information not based on the regularity evaluation information. In one embodiment, the prompt information includes pulse wave related information, that is, pulse wave related information is directly output, where the pulse wave related information includes pulse wave waveform and rhythm quantization parameter values.
在一实施例中，提示信息仅包括脉搏波相关信息中的脉搏波波形。进一步地，在显示仅包括脉搏波波形的提示信息后，所述处理器220还用于接收输入的指令执行步骤“根据所述脉搏波信号获取表征脉搏波的波动节律的特征值”，并根据所述特征值输出节律量化参数值。节律量化参数值如前所述，例如包括脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度等，在此不再赘述。In one embodiment, the prompt information only includes the pulse wave waveform in the pulse wave related information. Further, after displaying the prompt information that only includes the pulse wave waveform, the processor 220 is further configured to receive an input instruction to execute the step of "obtain the characteristic value of the fluctuation rhythm of the pulse wave according to the pulse wave signal", and according to The characteristic value outputs a rhythm quantization parameter value. Rhythm quantization parameter values are as described above, for example, include pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, pulse width, etc., which will not be repeated here.
从而，当医生等用户看到脉搏波波形后，如果想进一步看到相关的节律量化参数值，还可输入指令触发监护设备执行步骤“根据所述脉搏波信号获取表征脉搏波的波动节律的特征值”，而得到包括脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度等特征值的参数，而能够得到进一步的信息，来人工判断得出规则性评价分析。Therefore, after doctors and other users see the pulse wave waveform, if they want to further see the relevant rhythm quantification parameter values, they can also input instructions to trigger the monitoring device to execute the step "Acquire the characteristics of the pulse wave rhythm characteristics according to the pulse wave signal. Value", and obtain parameters including characteristic values such as pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, pulse width, etc., and further information can be obtained for artificial judgment to obtain regularity evaluation and analysis.
其中，所述存储器230还存储有程序指令，而用于供处理器220调用后执行如前所述的图2中的方法步骤。前述图2、图11中的方法以及图12中的监护设备200的功能可相互参照。The memory 230 also stores program instructions, which are used by the processor 220 to execute the method steps in FIG. 2 as described above. The aforementioned methods in Fig. 2 and Fig. 11 and the functions of the monitoring device 200 in Fig. 12 can be referred to each other.
请参阅图17，为本申请另一实施例中的监护设备200的模块架构图。如图12所示，为监护设备200的模块架构图。如图17所示，所述监护设备200包括第一传感器211、至少一个第二传感器212以及处理器220。Please refer to FIG. 17, which is a module architecture diagram of a monitoring device 200 in another embodiment of the application. As shown in FIG. 12, it is a block diagram of the monitoring device 200. As shown in FIG. 17, the monitoring device 200 includes a first sensor 211, at least one second sensor 212 and a processor 220.
所述第一传感器211用于获取测量对象的周期性生理信号。所述至少一个第二传感器212，用于获取人体的其他生理体征信号，其中，所述第一传感器211为非心电传感器。The first sensor 211 is used to obtain periodic physiological signals of the measuring object. The at least one second sensor 212 is used to obtain signals of other physiological signs of the human body, wherein the first sensor 211 is a non-cardiograph sensor.
所述处理器220用于从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号，并根据所述脉搏波信号以及所述其他生理体征信号得到规则性评价信息。The processor 220 is configured to extract a pulse wave signal related to the measurement object from the periodic physiological signal, and obtain regularity evaluation information according to the pulse wave signal and the other physiological sign signals.
其中，所述处理器220根据所述脉搏波信号以及所述其他生理体征信号得到规则性评价信息，包括：所述处理器220在所述脉搏波信号中滤除其他生理体征信号的影响而得到过滤后的脉搏波信号；根据所述过滤后的脉搏波信号获取表征脉搏波的波动节律的特征值；以及分析所述特征值得到规则性评价信息。Wherein, the processor 220 obtains regularity evaluation information according to the pulse wave signal and the other physiological sign signals, including: the processor 220 filters out the influence of other physiological sign signals in the pulse wave signal to obtain The filtered pulse wave signal; obtaining the characteristic value representing the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal; and analyzing the characteristic value to obtain regularity evaluation information.
在一些实施例中，所述处理器220在所述脉搏波信号中滤除其他生理体征信号的影响而得到过滤后的脉搏波信号，具体包括：所述处理器220根据脉搏波信号得出节律量化参数值以及根据所述其他生理体征信号得到其他生理体征参数值；根据所述节律量化参数值和所述其他生理体征参数值确定过滤方案；根据所述过滤方案在所述脉搏波信号中滤除其他生理体征信号的影响而得到过滤后的脉搏波信号。In some embodiments, the processor 220 filters out the influence of other physiological signs from the pulse wave signal to obtain the filtered pulse wave signal, which specifically includes: the processor 220 obtains the rhythm based on the pulse wave signal Quantify parameter values and obtain other physiological sign parameter values according to the other physiological sign signals; determine a filtering scheme according to the rhythm quantitative parameter value and the other physiological sign parameter values; filter the pulse wave signal according to the filtering scheme In addition to the influence of other physiological signs, the filtered pulse wave signal is obtained.
如图17所示，所述监护设备200还包括多个滤波器290，例如，所述多个滤波器290包括滤波器1、滤波器2、滤波器N等，其中N为正整数，N的数量根据需要设置。所述多个滤波器290可为硬件滤波器，例如，可为由可调电阻器和可调电容组成的RC滤波器、由可调电感和可调电容组成的LC滤波器，也可以为数字滤波器，从而，滤波参数可通过调节电阻、电容、电感等方式进行调整，或者通过数字调节方式进行调整。As shown in FIG. 17, the monitoring device 200 further includes a plurality of filters 290, for example, the plurality of filters 290 include filter 1, filter 2, filter N, etc., where N is a positive integer, and N is The quantity is set according to needs. The multiple filters 290 may be hardware filters, for example, RC filters composed of adjustable resistors and adjustable capacitors, LC filters composed of adjustable inductors and adjustable capacitors, or digital filters. The filter, therefore, the filter parameters can be adjusted by adjusting resistance, capacitance, inductance, etc., or by digital adjustment.
进一步的，所述过滤方案包括选择的滤波器290和滤波参数，所述处理器220根据所述节律量化参数值和所述其他生理体征信号确定过滤方案包括：所述处理器220根据所述节律量化参数值和所述其他生理体征参数值的比值或差值确定对应的目标滤波器290和目标滤波参数。所述处理器220根据所述过滤方案所述脉搏波信号中滤除其他生理体征信号的影响而得到过滤后的脉搏波信号，包括：所述处理器220通过所述目标滤波器290以所述目标滤波参数对所述脉搏波信号进行过滤，而得到过滤后的脉搏波信号。Further, the filtering scheme includes a selected filter 290 and filtering parameters. The processor 220 determining the filtering scheme according to the rhythm quantization parameter value and the other physiological sign signals includes: the processor 220 according to the rhythm The ratio or difference between the quantization parameter value and the other physiological sign parameter value determines the corresponding target filter 290 and target filter parameter. The processor 220 obtains the filtered pulse wave signal by filtering out the influence of other physiological signs in the pulse wave signal according to the filtering scheme, including: the processor 220 passes the target filter 290 to the The target filter parameter filters the pulse wave signal to obtain a filtered pulse wave signal.
其中，每个滤波器均对应有多种滤波参数。Among them, each filter corresponds to a variety of filter parameters.
显然在其他实施例中，也可以根据所述节律量化参数值和所述其他生理体征参数值的其他关系，例如乘积等等来确定目标过滤器和目标过滤参数(过滤方案)。Obviously, in other embodiments, the target filter and the target filter parameter (filtering scheme) can also be determined according to other relationships between the rhythm quantization parameter value and the other physiological sign parameter value, such as a product.
其中，所述处理器220根据所述节律量化参数值和所述其他生理体征参数值的比值或差值确定对应的目标滤波器和目标滤波参数，包括：所述处理器220根据预设的比值或差 值与过滤方案的对应关系，确定所述节律量化参数值和所述其他生理体征参数值的比值或差值对应的过滤方案；确定过滤方案中的滤波器290和滤波参数分别为所述目标滤波器290和目标滤波参数。Wherein, the processor 220 determines the corresponding target filter and target filter parameter according to the ratio or difference between the rhythm quantization parameter value and the other physiological sign parameter value, including: the processor 220 according to a preset ratio Or the corresponding relationship between the difference and the filtering scheme, determine the filtering scheme corresponding to the ratio or difference between the rhythm quantization parameter value and the other physiological sign parameter value; determine that the filter 290 and the filtering parameter in the filtering scheme are respectively the Target filter 290 and target filter parameters.
其中，所述比值与过滤方案的对应关系可为预存与存储器230中的对应关系表。Wherein, the correspondence between the ratio and the filtering scheme may be a correspondence table pre-stored in the memory 230.
在一些实施例中，所述至少一个第二传感器212包括呼吸传感器，所述其他生理体征信号包括呼吸信号，所述其他生理体征参数值包括呼吸率，所述节律量化参数值包括脉率。In some embodiments, the at least one second sensor 212 includes a respiration sensor, the other physiological sign signal includes a respiration signal, the other physiological sign parameter value includes a respiration rate, and the rhythm quantization parameter value includes a pulse rate.
由于呼吸时会引起静脉血回流心脏时胸内压的变化，肺内的牵张感受器感受到压力的变化，神经活动就会调节大脑的血管运动中枢，控制着交感神经作用到血管，引起血管变化，进而造成检测的脉搏波发生变化。因此呼吸时由于迷走神经的作用，脉搏波会发生变化，吸气时迷走神经被抑制，脉搏波间期变小，呼气时迷走神经抑制取消，脉搏波间隔变大。因此，在基于脉搏波信号识别不规则脉搏时滤除呼吸因素，可以得到更加真实的脉搏波信号的特征值，从而提高了不规则脉搏识别准确度。Because breathing will cause changes in intrathoracic pressure when venous blood flows back to the heart, and the stretch receptors in the lungs feel pressure changes, nerve activity will regulate the vascular movement center of the brain, controlling the sympathetic nerves to act on the blood vessels, causing vascular changes , Which in turn causes the detected pulse wave to change. Therefore, due to the action of the vagus nerve during breathing, the pulse wave will change, the vagus nerve is inhibited during inhalation, the pulse wave interval becomes smaller, and the vagus nerve inhibition is cancelled during exhalation, and the pulse wave interval becomes larger. Therefore, by filtering out the respiratory factor when identifying the irregular pulse based on the pulse wave signal, a more realistic characteristic value of the pulse wave signal can be obtained, thereby improving the accuracy of irregular pulse identification.
其中，所述第一传感器包括光电传感器、压力传感器、电磁传感器、声音传感器以及加速度传感器中的至少一种。Wherein, the first sensor includes at least one of a photoelectric sensor, a pressure sensor, an electromagnetic sensor, a sound sensor, and an acceleration sensor.
所述光电传感器通过将不同波长的光辐射到测量对象的组织区域中，检测通过所述组织区域发送的光信号作为前述的周期性生理信号。The photoelectric sensor radiates light of different wavelengths into the tissue area of the measurement object, and detects the optical signal sent through the tissue area as the aforementioned periodic physiological signal.
在一些实施例中，所述光电传感器可包括血氧传感器。In some embodiments, the photosensor may include a blood oxygen sensor.
所述血氧传感器用于将不同波长的光辐射到测量对象的组织区域中，检测通过所述组织区域发送的光信号，以供处理器220从所述光信号中提取所述组织区域的光吸收产生的光电容积脉搏波信号。即，前述的根据周期性生理信号得出的脉搏波信号即为所述光电容积脉搏波信号。The blood oxygen sensor is used to radiate light of different wavelengths into the tissue area of the measurement object, and detect the optical signal sent through the tissue area, so that the processor 220 can extract the light of the tissue area from the optical signal. Absorb the generated photoplethysmographic signal. That is, the aforementioned pulse wave signal derived from the periodic physiological signal is the photoplethysmographic pulse wave signal.
其中，当第一传感器包括血氧传感器时，所述血氧传感器包括血氧探头，所述血氧探头可为夹持式结构，用于夹持在测量对象，例如病人的手指上。所述组织区域可为测量对象的手指部位区域。Wherein, when the first sensor includes a blood oxygen sensor, the blood oxygen sensor includes a blood oxygen probe, and the blood oxygen probe may have a clamping structure for clamping on a measurement object, such as a patient's finger. The tissue area may be a finger part area of the measurement object.
所述压力传感器用于根据压力信号中的压力大小的变化而得到所述测量对象的周期性生理信号。The pressure sensor is used to obtain the periodic physiological signal of the measurement object according to the change of the pressure in the pressure signal.
其中，压力传感器可为血压传感器，所述周期性生理信号可为脉管波动产生的周期性的压力信号，所述“从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号”包括：根据压力信号中的压力大小的变化而得到所述测量对象的脉搏波信号。Wherein, the pressure sensor may be a blood pressure sensor, the periodic physiological signal may be a periodic pressure signal generated by vascular fluctuations, and the “extract the pulse wave signal related to the measurement object from the periodic physiological signal "Includes: obtaining the pulse wave signal of the measurement object according to the change of the pressure in the pressure signal.
当传感器为电磁传感器时，电磁传感器可包括穿戴于手腕上的导电环以及设置于导电环磁场内的霍尔传感器等传感器，手腕上的导电环跟随脉管搏动而伸缩，导致磁场变化，从而可通过霍尔传感器侦测该变化而产生相应的电磁感应信号。所述周期性生理信号可为周期性的电磁感应信号，所述“从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号”包括：根据电磁感应信号中的感应强度的变化而得到所述测量对象的脉搏波信号。When the sensor is an electromagnetic sensor, the electromagnetic sensor may include a conductive ring worn on the wrist and a Hall sensor and other sensors arranged in the magnetic field of the conductive ring. The conductive ring on the wrist expands and contracts following the pulse of the pulse, resulting in a change in the magnetic field. The Hall sensor detects the change and generates the corresponding electromagnetic induction signal. The periodic physiological signal may be a periodic electromagnetic induction signal, and the "extracting the pulse wave signal related to the measurement object from the periodic physiological signal" includes: according to the change of the induction intensity in the electromagnetic induction signal The pulse wave signal of the measurement object is obtained.
又例如，当传感器为声音传感器时，可通过声音传感器传感器采集脉搏搏动的声音信号，即，所述周期性生理信号可为声音信号，然后通过声音的频率、音量、音色等特征进行分析，而可得到脉搏波信号。For another example, when the sensor is a sound sensor, the sound signal of pulse pulsation can be collected by the sound sensor sensor, that is, the periodic physiological signal can be a sound signal, and then analyzed by the characteristics of sound frequency, volume, timbre, etc. Can get pulse wave signal.
其中，所述处理器220根据所述过滤后的脉搏波信号获取表征脉搏波的波动节律的特征值的具体方式可与图16所示的实施例中的根据所述脉搏波信号获取表征脉搏波的波动节律的特征值”相同，仅仅是该脉搏波信号是过滤后的脉搏波信号，具体可参考图16的相关描述。Wherein, the specific manner in which the processor 220 obtains the characteristic value characterizing the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal may be the same as obtaining the characterizing pulse wave according to the pulse wave signal in the embodiment shown in FIG. The characteristic values of the fluctuating rhythms are the same, except that the pulse wave signal is a filtered pulse wave signal. For details, please refer to the relevant description in FIG. 16.
例如，所述处理器220根据所述过滤后的脉搏波信号获取表征脉搏波的波动节律的特征值，包括：所述处理器220采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述脉搏波信号进行特征提取而得到相应的至少一个特征值。For example, the processor 220 obtains the characteristic value of the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal, including: the processor 220 adopts the time domain technology, the frequency domain technology and the nonlinear dynamics technology. At least one analysis technique performs feature extraction on the pulse wave signal to obtain corresponding at least one feature value.
在一些实施例中，所述处理器220采用时域技术对脉搏波信号进行特征提取而得到至少一个时域特征值。In some embodiments, the processor 220 uses time domain technology to perform feature extraction on the pulse wave signal to obtain at least one time domain feature value.
所述至少一个时域特征值包括脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度中的至少一种。The at least one time domain characteristic value includes at least one of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, and pulse width.
在一些实施例中，所述处理器220可仅采用频域技术将脉搏波信号转换为频域信号，然后对频域信号进行特征提取而得到至少一个频域特征值。In some embodiments, the processor 220 may only use frequency domain technology to convert the pulse wave signal into a frequency domain signal, and then perform feature extraction on the frequency domain signal to obtain at least one frequency domain feature value.
其中，所述频域特征值包括频谱特征、功率谱特征中的至少一种。Wherein, the frequency domain feature value includes at least one of a spectrum feature and a power spectrum feature.
在一些实施例中，所述处理器220还可仅采用非线性动力学技术对脉搏波信号进行特征提取而得到至少一个非线性动力学特征值。In some embodiments, the processor 220 may also perform feature extraction on the pulse wave signal using only nonlinear dynamics technology to obtain at least one nonlinear dynamics feature value.
所述非线性动力学特征值包括熵值或复杂度。The nonlinear dynamics characteristic value includes entropy or complexity.
其中，所述处理器220根据所述脉搏波信号获取表征脉搏波的波动节律的特征值，进一步包括：所述处理器220对一时间段或若干个周期的脉搏波信号进行特征提取而得到至少两个特征值；所述分析所述特征值得到规则性评价信息，包括：通过统计学分析方法和/或机器学习方法对所述至少两个特征值进行分析，而得到所述规则性评价信息。Wherein, the processor 220 obtains the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal, and further includes: the processor 220 performs characteristic extraction on the pulse wave signal for a period of time or several cycles to obtain at least Two characteristic values; the analyzing the characteristic values to obtain regularity evaluation information includes: analyzing the at least two characteristic values by a statistical analysis method and/or a machine learning method to obtain the regularity evaluation information .
进一步的，所述处理器220通过统计学分析方法对所述至少两个特征值进行分析，得到统计分析数据，以及根据所述统计分析数据得到所述规则性评价信息；和/或通过机器学习方法，将所述至少两个特征值作为输入，而得出所述规则性评价信息这一输出。Further, the processor 220 analyzes the at least two characteristic values through a statistical analysis method to obtain statistical analysis data, and obtains the regularity evaluation information according to the statistical analysis data; and/or through machine learning In the method, the at least two characteristic values are used as input to obtain the output of the regularity evaluation information.
其中，所述处理器220采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述脉搏波信号进行特征提取而得到相应的至少一个特征值，还可包括：所述处理器220采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述脉搏波信号进行特征提取而获取至少两类特征值，根据两类特征值以及每类特征值的权重值得出最终的至少一个特征值。Wherein, the processor 220 adopts at least one analysis technology of time domain technology, frequency domain technology and nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain the corresponding at least one feature value, and may further include: The processor 220 uses at least one analysis technology of time domain technology, frequency domain technology, and nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least two types of feature values. According to the two types of feature values and each The weight of the class eigenvalues yields at least one final eigenvalue.
其中，所述不同的至少两个特征值包括通过不同的分析技术分析出来的至少两个特征值和/或通过相同的分析技术分析出来的至少两个不同的特征值。Wherein, the at least two different characteristic values include at least two characteristic values analyzed by different analysis techniques and/or at least two different characteristic values analyzed by the same analysis technique.
此外，所述处理器220在根据所述脉搏波信号获取表征脉搏波的波动节律的特征值之后，还用于将提取出的特征值转换为中间特征值。所述处理器220分析所述特征值得到规则性评价信息，包括：所述处理器220基于所述中间特征值进行分析得到规则性评价信息。In addition, the processor 220 is also used to convert the extracted characteristic value into an intermediate characteristic value after acquiring the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal. The processor 220 analyzing the characteristic value to obtain regularity evaluation information includes: the processor 220 performs analysis based on the intermediate characteristic value to obtain the regularity evaluation information.
在一些实施例中，所述中间特征值包括脉率值，所述处理器220将提取出的特征值转换为中间特征值，包括：所述处理器220将提取出的特征值转换为脉率值。所述处理器220还用于基于所述脉率值进行分析得到规则性评价信息。In some embodiments, the intermediate feature value includes a pulse rate value, and the processor 220 converting the extracted feature value into an intermediate feature value includes: the processor 220 converts the extracted feature value into a pulse rate value. The processor 220 is further configured to perform analysis based on the pulse rate value to obtain regularity evaluation information.
其中，所述中间特征值还可包括脉搏音特征值，所述处理器220具体用于将提取出的特征值转换为脉搏音特征值，并基于所述脉搏音特征值进行分析得到规则性评价信息。Wherein, the intermediate characteristic value may also include a pulse sound characteristic value, and the processor 220 is specifically configured to convert the extracted characteristic value into a pulse sound characteristic value, and analyze based on the pulse sound characteristic value to obtain a regularity evaluation information.
其中，所述处理器220将提取出的特征值转换为脉搏音特征值包括：所述处理器220根据提取出的特征值确定脉搏的波峰或波谷的到达时刻，在波峰或波谷的到达时刻进行波峰或波谷标记；根据波峰或波谷标记生成脉搏音特征值。Wherein, the processor 220 converting the extracted characteristic value into a pulse sound characteristic value includes: the processor 220 determines the arrival time of the peak or trough of the pulse according to the extracted characteristic value, and proceeding at the arrival time of the peak or trough Wave crest or trough mark; generate pulse sound characteristic value based on wave crest or trough mark.
其中，所述处理器220基于所述脉搏音特征值进行分析得到规则性评价信息，可进一步包括：所述处理器220对一时间段内或若干个周期的脉搏波信号的波峰或波谷进行标记而得到至少两个波峰或波谷标记，得到由至少个波峰或至少两个波谷标记生成的至少两个脉搏音特征值；通过统计学分析和/或机器学习方式对所述至少两个脉搏音特征值进行分析，而得到所述规则性评价信息。Wherein, the processor 220 analyzes based on the pulse sound characteristic value to obtain regularity evaluation information, which may further include: the processor 220 marks the peaks or troughs of the pulse wave signal within a period of time or several cycles Obtain at least two wave peaks or trough marks, and obtain at least two pulse sound feature values generated by at least two wave crests or at least two trough marks; and compare the at least two pulse sound features by means of statistical analysis and/or machine learning. Value is analyzed to obtain the regularity evaluation information.
如图17所示，所述监护设备200还包括存储器230、显示屏240、指示灯250、扬声器260以及振动器270。As shown in FIG. 17, the monitoring device 200 further includes a memory 230, a display screen 240, an indicator light 250, a speaker 260, and a vibrator 270.
在一些实施例中，所述处理器220还用于根据规则性评价信息输出提示信息。具体的，所述处理器220为根据规则性评价信息控制在显示屏240上输出提示信息。In some embodiments, the processor 220 is further configured to output prompt information according to the regularity evaluation information. Specifically, the processor 220 controls to output prompt information on the display screen 240 according to the regularity evaluation information.
其中，根据规则性评价信息输出提示信息与图16所示的实施例中的监护装置的相同部分的内容相同，具体可参考图16的相关描述。Wherein, the content of the prompt information output according to the regularity evaluation information is the same as the content of the same part of the monitoring device in the embodiment shown in FIG. 16. For details, refer to the related description of FIG. 16.
例如，所述提示信息包括脉搏波相关信息、可执行功能的相关信息以及所述规则性评价信息中的至少一种；For example, the prompt information includes at least one of pulse wave related information, executable function related information, and the regularity evaluation information;
其中，所述规则性评价信息的类型包括用于表示规则或不规则的脉搏搏动和/或心脏节律的评价结果，所述脉搏波相关信息包括脉搏波波形和/或节律量化参数值，所述可执行功能为所述规则性评价信息满足预设条件时下一步可执行的功能。Wherein, the type of regularity evaluation information includes an evaluation result used to indicate regular or irregular pulse beats and/or heart rhythms, and the pulse wave-related information includes pulse wave waveforms and/or rhythm quantification parameter values, and The executable function is a function that can be executed in the next step when the regularity evaluation information meets the preset condition.
所述节律量化参数值包括脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度在内的至少一个特征值，和/或至少包括根据至少一个特征值统计分析出的最值、比值、加和、积分、差值、均值、标准差、最大间隔期、最小间隔期，脉搏变异度，变异次数、最大脉率值、最小脉率值之一在内的统计分析数据，和/或包括变异度阈值、变异次数阈值在内的至少一个阈值。The rhythm quantification parameter value includes at least one characteristic value including pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, and pulse width, and/or at least includes the highest value statistically analyzed according to at least one characteristic value, Statistical analysis data including one of ratio, sum, integral, difference, mean, standard deviation, maximum interval, minimum interval, pulse variability, number of variations, maximum pulse rate, and minimum pulse rate, and/ Or at least one threshold including the threshold of the degree of variability and the threshold of the number of mutations.
其中，所述规则性评价信息至少通过以下形式之一的方式显示：文字、图案、光。Wherein, the regularity evaluation information is displayed in at least one of the following forms: text, pattern, and light.
进一步的，所述规则性评价信息的类型包括用于表示规则或不规则的脉搏搏动和/或心脏节律，所述处理器220在所述规则性评价信息为不规则时，控制输出报警信息。Further, the type of the regularity evaluation information includes a pulse and/or heart rhythm used to indicate regular or irregular, and the processor 220 controls to output alarm information when the regularity evaluation information is irregular.
其中，输出报警信息的内容也与图16所示的监护设备200的相关实施例中的相关内容相同，具体可参考图16所示的监护设备200的相关的相关描述。The content of the output alarm information is also the same as the related content in the related embodiment of the monitoring device 200 shown in FIG. 16. For details, reference may be made to the related description of the monitoring device 200 shown in FIG. 16.
例如，所述报警信息的表现形式包括文字、图案、光、声音、振动中的至少一种。For example, the presentation form of the alarm information includes at least one of text, pattern, light, sound, and vibration.
当所述报警信息为所述文字和/或图案时，所述处理器220可控制所述显示屏240显示所述文字和/或图案，当所述报警信息为光时，所述处理器220可控制所述显示屏或所述指示灯250显示相应的光，例如，控制显示屏整屏或特定区域显示红色等颜色，或控制指示灯250发出红色的光。When the alarm information is the text and/or pattern, the processor 220 may control the display screen 240 to display the text and/or pattern. When the alarm information is light, the processor 220 The display screen or the indicator light 250 can be controlled to display corresponding light, for example, the entire screen or a specific area of the display screen can be controlled to display colors such as red, or the indicator light 250 can be controlled to emit red light.
其中，所述指示灯250具体可为包括红色LED灯、绿色LED灯以及蓝色LED灯的指示灯，所述处理器220可通过控制不同颜色和/或数量的LED灯发光而产生或混色出相应的颜色光。Wherein, the indicator light 250 may specifically be an indicator light including a red LED light, a green LED light, and a blue LED light. The processor 220 may generate or mix colors by controlling the lighting of different colors and/or numbers of LED lights. The corresponding color light.
当所述报警信息为声音报警信息时，所述处理器220可控制扬声器260输出声音。When the alarm information is sound alarm information, the processor 220 may control the speaker 260 to output sound.
当所述报警信息为振动时，所述处理器220可控制振动器270产生振动。When the alarm information is vibration, the processor 220 may control the vibrator 270 to generate vibration.
在一些实施例中，所述处理器220在所述规则性评价信息为不规则时，还根据获取的特征值确定报警档位，并控制输出相应报警档位的报警信息，其中，所述报警档位包括至少两个档位。In some embodiments, when the regularity evaluation information is irregular, the processor 220 also determines the alarm gear according to the acquired characteristic value, and controls the output of the alarm information of the corresponding alarm gear, wherein the alarm The gears include at least two gears.
具体的，所述处理器220将获取的特征值与多个参考值进行比较，确定特征值所处于的特征值区间，根据确定出的特征值区间以及特征值区间与报警档位的对应关系，确定对应的报警档位。Specifically, the processor 220 compares the acquired characteristic value with multiple reference values, determines the characteristic value interval in which the characteristic value is located, and according to the determined characteristic value interval and the corresponding relationship between the characteristic value interval and the alarm gear, Determine the corresponding alarm gear.
例如，当获取的特征值为时域特征值中的斜率时，处理器220在所述斜率为大于等于第一斜率且小于第二斜率时，确定对应的报警档位为第一报警档位，并控制发出绿光或者较小分贝的声音报警信息；处理器220在所述斜率大于等于第二斜率且小于第三斜率时，确定对应的报警档位为第二报警档位，并控制发出橙光或者中等分贝的声音报警信息；处理器220在所述斜率大于等于第三斜率时，确定对应的报警档位为第三报警档位，并控制发出红光或者最高分贝的声音报警信息。For example, when the acquired feature value is the slope in the time domain feature value, the processor 220 determines that the corresponding alarm gear is the first alarm gear when the slope is greater than or equal to the first slope and less than the second slope, And control to emit a green light or an audible alarm message with a smaller decibel; when the slope is greater than or equal to the second slope and less than the third slope, the processor 220 determines that the corresponding alarm gear is the second alarm gear, and controls to emit orange Light or medium-decibel sound alarm information; when the slope is greater than or equal to the third slope, the processor 220 determines that the corresponding alarm gear is the third alarm gear, and controls to emit a red light or the highest-decibel sound alarm information.
其中，所述第一斜率小于所述第二斜率，所述第二斜率小于所述第三斜率。Wherein, the first slope is smaller than the second slope, and the second slope is smaller than the third slope.
其中，所述第一报警档位小于第二报警档位，所述第二报警档位小于第三报警档位。Wherein, the first alarm gear is smaller than the second alarm gear, and the second alarm gear is smaller than the third alarm gear.
其中，所述报警档位的数量可为2个、3个、4个等任意合适的值。Wherein, the number of the alarm gears can be any suitable value such as 2, 3, 4, etc.
其中，所述特征值区间与报警档位的对应关系可为预先存储于存储器230中的对应关系表、对应关系曲线等。The correspondence relationship between the characteristic value interval and the alarm gear position may be a correspondence relationship table, a correspondence relationship curve, etc., pre-stored in the memory 230.
如图15所示，所述监护设备200还包括通信单元280，所述通信单元280用于与科室级工作站设备和/或院级数据中心/院级急救中心管理设备等监护管理设备300建立通信连接。其中，当监护设备200为移动监护设备时，所述通信单元280还可用于与床边监护设备202以及科室级工作站设备和/或院级数据中心/院级急救中心管理设备等监护管理设备300建立通信连接。As shown in FIG. 15, the monitoring device 200 further includes a communication unit 280, which is used to establish communication with a monitoring management device 300 such as department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment. connection. Wherein, when the monitoring device 200 is a mobile monitoring device, the communication unit 280 can also be used to communicate with the bedside monitoring device 202 and department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment and other monitoring management equipment 300 Establish a communication connection.
其中，所述通信单元280包括蓝牙模组、WMTS通信模组、NFC通信模组、WIFI通信模组以及2G/3G/4G/5G等移动通信网络模组中的至少一种。Wherein, the communication unit 280 includes at least one of a Bluetooth module, a WMTS communication module, an NFC communication module, a WIFI communication module, and a mobile communication network module such as 2G/3G/4G/5G.
所述处理器220还用于通过通信单元280将所述提示信息发送给科室级工作站设备和/或院级数据中心/院级急救中心管理设备等监护管理设备300，通过所述科室级工作站设备和/或院级数据中心/院级急救中心管理设备输出所述提示信息。The processor 220 is further configured to send the prompt information to the department-level workstation equipment and/or the hospital-level data center/hospital-level emergency center management equipment and other monitoring and management equipment 300 through the communication unit 280, through the department-level workstation equipment And/or the hospital-level data center/hospital-level emergency center management equipment outputs the prompt information.
在一些实施例中，所述处理器220还用于通过通信单元280将所述周期性生理信号发送给科室级工作站设备和/或院级数据中心/院级急救中心管理设备，通过科室级工作站设备和/或院级数据中心/院级急救中心管理设备进行“从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号”、“根据所述脉搏波信号获取表征脉搏波的波动节律的特征值”以及“分析所述特征值得到规则性评价信息”等处理操作而得到规则性评价信息。In some embodiments, the processor 220 is further configured to send the periodic physiological signals to department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment through the communication unit 280, through the department-level workstation The equipment and/or hospital-level data center/hospital-level emergency center management equipment performs “extracting the pulse wave signal related to the measurement object from the periodic physiological signal”, “obtaining the characteristic pulse wave signal from the pulse wave signal” The regularity evaluation information is obtained by processing operations such as "the characteristic value of the fluctuation rhythm" and "analyzing the characteristic value to obtain the regularity evaluation information".
在一些实施例中，所述处理器220还用于通过所述通信单元280从科室级工作站设备和/或院级数据中心/院级急救中心管理设备接收规则性评价信息，并根据接收到的规则性评价信息输出提示信息。In some embodiments, the processor 220 is further configured to receive regularity evaluation information from department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment through the communication unit 280, and according to the received The regularity evaluation information outputs prompt information.
显然，当所述监护设备200为移动监护设备201时，所述处理器220可为将所述周期性生理信号发送给床边监护设备202、科室级工作站设备和/或院级数据中心/院级急救中心管理设备等，通过床边监护设备202、科室级工作站设备和/或院级数据中心/院级急救中心管理设备等进行处理操作而得到规则性评价信息；以及所述处理器220还可从床边监护设备202、科室级工作站设备和/或院级数据中心/院级急救中心管理设备接收规则性评价信息，并根据接收到的规则性评价信息输出提示信息。Obviously, when the monitoring device 200 is a mobile monitoring device 201, the processor 220 may send the periodic physiological signals to the bedside monitoring device 202, department-level workstation equipment and/or hospital-level data center/hospital. Level emergency center management equipment, etc., through the bedside monitoring equipment 202, department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment, etc., to obtain regular evaluation information; and the processor 220 also Regularity evaluation information can be received from the bedside monitoring equipment 202, department-level workstation equipment, and/or hospital-level data center/hospital-level emergency center management equipment, and output prompt information according to the received regularity evaluation information.
在进一步的实施例中，所述提示信息也可为科室级工作站设备和/或院级数据中心/院级急救中心管理设备确定出后，再发送给所述监护设备200进行显示输出。In a further embodiment, the prompt information may also be determined by department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment, and then sent to the monitoring device 200 for display output.
即，在进一步的实施例中，所述处理器220通过所述通信单元280从科室级工作站设备和/或院级数据中心/院级急救中心管理设备接收的可直接为提示信息。That is, in a further embodiment, the processor 220 may directly receive prompt information from department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment through the communication unit 280.
在一些实施例中，相比前述的滤波器的选择方式，所述存储器230中还预存有比值区间或差值区间与滤波器的对应关系，所述比值为前述的节律量化参数值和所述其他生理体征参数值的比值，以滤波器为三个作为例子，在一些实施例中，所述处理器220在滤波器选择方面，还具体用于：判断节律量化参数值和其他生理体征参数值的比值或差值是否小于第一预设比值或差值；如果小于第一预设比值或差值，则选择第一滤波器进行滤波，如果大于等于第一预设比值或差值，则继续确定所述比值或差值是否小于第二预设比值或差值，其中，所述第二预设比值或差值大于所述第一预设比值或差值；如果所述比值或差值小于第二预设比值或差值则选择第二滤波器进行滤波，如果大于或等于第二预设比值或差值，则选择第三滤波器进行滤波。In some embodiments, compared with the aforementioned filter selection method, the memory 230 also prestores the ratio interval or the correspondence relationship between the difference interval and the filter, and the ratio is the aforementioned rhythm quantization parameter value and the For the ratio of other physiological sign parameter values, three filters are used as an example. In some embodiments, the processor 220 is also specifically used to determine the value of the rhythm quantization parameter and other physiological sign parameter values in terms of filter selection. Whether the ratio or difference of is less than the first preset ratio or difference; if it is less than the first preset ratio or difference, select the first filter for filtering, if it is greater than or equal to the first preset ratio or difference, continue Determine whether the ratio or difference is less than a second preset ratio or difference, where the second preset ratio or difference is greater than the first preset ratio or difference; if the ratio or difference is less than For the second preset ratio or difference, the second filter is selected for filtering, and if it is greater than or equal to the second preset ratio or difference, the third filter is selected for filtering.
即，以滤波器290包括第一滤波器、第二滤波器以及第三滤波器为例来说，所述处理器220当节律量化参数值和其他生理体征参数值的比值或差值小于第一预设比值或差值时，选择第一滤波器进行滤波，当节律量化参数值和其他生理体征参数值的比值或差值大于等于第一预设比值或差值且小于第二预设比值或差值时，则选择第二滤波器进行滤波，当节律量化参数值和其他生理体征参数值的比值或差值大于第二预设比值或差值，则选择第三滤波器进行滤波。That is, taking the filter 290 including the first filter, the second filter, and the third filter as an example, when the ratio or difference between the rhythm quantization parameter value and the other physiological parameter value is smaller than the first When the ratio or difference is preset, the first filter is selected for filtering. When the ratio or difference between the rhythm quantization parameter value and other physiological parameter values is greater than or equal to the first preset ratio or difference and less than the second preset ratio or When there is a difference, the second filter is selected for filtering, and when the ratio or difference between the rhythm quantization parameter value and the other physiological parameter values is greater than the second preset ratio or difference, the third filter is selected for filtering.
其中，所述滤波参数可为与滤波器同时根据比值区间或差值区间确定，即，所述处理 器220根据比值区间或差值区间确定出滤波器后，还可根据比值区间或差值区间确定出对应的滤波参数，即不同的比值区间或差值区间还可对应不同的滤波参数。Wherein, the filter parameter may be determined according to the ratio interval or the difference interval at the same time as the filter, that is, after the processor 220 determines the filter according to the ratio interval or the difference interval, it may also be determined according to the ratio interval or the difference interval. Determine the corresponding filter parameters, that is, different ratio intervals or difference intervals can also correspond to different filter parameters.
在一些实施例中，所述处理器220根据所述脉搏波信号以及所述其他生理体征信号得到规则性评价信息，具体包括：所述处理器220从所述其他生理体征信号中提取生理体征参数值，根据所述脉搏波信号获取表征脉搏波的波动节律的特征值，分析所述特征值得到第一规则性评价信息以及分析所述生理体征参数值得到第二规则性评价信息，以及根据所述第一规则性评价信息和第二规则性评价信息得出最终的规则性评价信息。In some embodiments, the processor 220 obtains regularity evaluation information according to the pulse wave signal and the other physiological sign signals, specifically including: the processor 220 extracts physiological sign parameters from the other physiological sign signals Value, according to the pulse wave signal to obtain a characteristic value that characterizes the rhythm of the pulse wave, analyze the characteristic value to obtain first regularity evaluation information, and analyze the physiological sign parameter value to obtain second regularity evaluation information, and The first regularity evaluation information and the second regularity evaluation information are described to obtain the final regularity evaluation information.
其中，所述至少一个第二传感器212可为心电传感器，所述其他生理体征信号为心电信号，所述生理体征参数值至为心电参数值，所述处理器220根据所述第一规则性评价信息和第二规则性评价信息得出最终的规则性评价信息，包括：所述处理器220在所述第一规则性评价信息和第二规则性评价信息一致时，选择其中的任一个作为最终的规则性评价信息；以及在所述第一规则性评价信息和第二规则性评价信息不一致时，选择所述第二规则性评价信息作为最终的规则性评价信息。Wherein, the at least one second sensor 212 may be an ECG sensor, the other physiological sign signal is an ECG signal, the physiological sign parameter value is an ECG parameter value, and the processor 220 is based on the first The final regularity evaluation information is obtained from the regularity evaluation information and the second regularity evaluation information, including: the processor 220 selects any one of them when the first regularity evaluation information and the second regularity evaluation information are consistent. One is the final regularity evaluation information; and when the first regularity evaluation information is inconsistent with the second regularity evaluation information, the second regularity evaluation information is selected as the final regularity evaluation information.
在一些实施例中，所述处理器220还用于将所述根据用于分析得到第一规则性评价信息的特征值作为机器学习模型的输入以及将所述最终的规则性评价信息作为机器学习模型的输出并相互绑定，从而进一步完善机器学习模型。In some embodiments, the processor 220 is further configured to use the characteristic value obtained according to the analysis of the first regularity evaluation information as the input of the machine learning model and use the final regularity evaluation information as the machine learning model. The output of the model is bound to each other to further improve the machine learning model.
即，在一些实施例中，至少一个第二传感器212包括了心电传感器，可直接侦测心电信号并得到规则性评价信息，而对第一传感器211这些非心电的传感器侦测获取的脉搏波信号进行分析得到的规则性评价信息进行校验，并以依据心电信号得到的规则性评价信息为准作为最终的规则性评价信息，从而训练和完善机器学习模型，而提升通过非心电传感器侦测的脉搏波信号得到的规则性评价信息的准确度。That is, in some embodiments, the at least one second sensor 212 includes an ECG sensor, which can directly detect ECG signals and obtain regularity evaluation information, while the first sensor 211 is detected by non-ECG sensors. The regularity evaluation information obtained by the analysis of the pulse wave signal is verified, and the regularity evaluation information obtained based on the ECG signal is used as the final regularity evaluation information, so as to train and improve the machine learning model, and improve the The accuracy of the regularity evaluation information obtained from the pulse wave signal detected by the electrical sensor.
在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分，可以参见其他实施例的相关描述。有关脉搏波的波动节律信息的定义、识别或获取方法、输出方式、显示方案以及信号处理过程等，可以参见前述各个实施例中的相关说明，在此不再累述。In the above-mentioned embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in an embodiment, reference may be made to related descriptions of other embodiments. For the definition, identification or acquisition method, output mode, display scheme, and signal processing process of pulse wave fluctuation rhythm information, please refer to the relevant descriptions in the foregoing embodiments, which will not be repeated here.
因此，对于配备有ECG技术的监护设备200来说，在最开始的若干次可同时使用心电传感器和非心电传感器进行侦测，而在后续，可以进使用非心电传感器进行周期性生理信号的侦测，并仅基于非心电传感器得到的信号进行规则性评价信息，仍然可确保评价的准确性。Therefore, for the monitoring device 200 equipped with ECG technology, the ECG sensor and the non-ECG sensor can be used for detection at the same time in the first several times, and in the subsequent period, the non-ECG sensor can be used for periodic physiology. Signal detection and regular evaluation information based only on signals obtained by non-ECG sensors can still ensure the accuracy of the evaluation.
其中，所述存储器230中同样还存储有程序指令，所述程序指令用于供处理器220调用后执行图12、13、14中的分析方法中的步骤。Wherein, the memory 230 also stores program instructions, and the program instructions are used by the processor 220 to execute the steps in the analysis methods in FIGS. 12, 13, and 14.
具体的，所述监护设备200更具体的结构和执行的功能可参考图16的监护设备200的相关描述，也可参考图2、11、图12-14的相关描述，在此不再赘述。Specifically, for a more specific structure and functions performed by the monitoring device 200, reference may be made to the related description of the monitoring device 200 in FIG. 16, and may also refer to the related descriptions of FIGS. 2, 11, and 12-14, which will not be repeated here.
请参阅图18，为一种多参数监护仪或模块组件的***框架图。多参数监护仪或模块组件至少包括参数测量电路112。参数测量电路112至少包括一个生理参数对应的参数测量电路，参数测量电路至少包含心电信号参数测量电路、呼吸参数测量电路、体温参数测量电路、血氧参数测量电路、无创血压参数测量电路、有创血压参数测量电路等等中的至少一个参数测量电路，每个参数测量电路分别通过相应的传感器接口与外部***的传感器附件111连接。传感器附件111包括用于血氧、血压、体温等生理参数检测所对应的检测附件。参数测量电路112主要是用来连接传感器附件111获得采集的生理参数信号的，可以包括至少两种以上生理参数的测量电路，参数测量电路可以是但不局限于生理参数测量电路(模块)，人体生理参数测量电路(模块)或传感器采集人体生理参数等。具体的，参数测量电路通过扩展接口获得外部生理参数传感器附件获得有关病人的生理采样信号，并经过处理后得到生理数据，用以报警和显示。扩展接口还可用于将主控电路输出的关于如何采集生理 参数的控制信号通过相应接口输出至外部生理参数监测附件，实现对病人生理参数的监测控制。Please refer to Figure 18, which is a system framework diagram of a multi-parameter monitor or module component. The multi-parameter monitor or module assembly at least includes a parameter measurement circuit 112. The parameter measurement circuit 112 includes at least one parameter measurement circuit corresponding to a physiological parameter. The parameter measurement circuit includes at least an ECG signal parameter measurement circuit, a respiratory parameter measurement circuit, a body temperature parameter measurement circuit, a blood oxygen parameter measurement circuit, a noninvasive blood pressure parameter measurement circuit, and a At least one parameter measurement circuit in the blood pressure parameter measurement circuit, etc., each parameter measurement circuit is respectively connected to the externally inserted sensor accessory 111 through a corresponding sensor interface. The sensor accessory 111 includes detection accessories corresponding to the detection of physiological parameters such as blood oxygen, blood pressure, and body temperature. The parameter measurement circuit 112 is mainly used to connect the sensor attachment 111 to obtain the collected physiological parameter signals, and may include at least two or more physiological parameter measurement circuits. The parameter measurement circuit may be, but is not limited to, a physiological parameter measurement circuit (module). Physiological parameter measurement circuit (module) or sensor collects human physiological parameters, etc. Specifically, the parameter measurement circuit obtains the external physiological parameter sensor attachment to obtain the physiological sampling signal of the patient through the extended interface, and obtains the physiological data after processing for alarm and display. The extended interface can also be used to output the control signal on how to collect the physiological parameters output by the main control circuit to the external physiological parameter monitoring accessory through the corresponding interface to realize the monitoring and control of the patient's physiological parameters.
对于监护设备200来说，参数测量电路112可为处理传感信号的电路；该些传感器附件111即为包括前述的传感器210、第一传感器211以及至少一个第二传感器212的传感器附件。特别的，对于床边监护设备202来说，传感器附件111即为可通过传感器接口***的外接的传感器附件。For the monitoring device 200, the parameter measurement circuit 112 may be a circuit for processing sensor signals; the sensor accessories 111 are sensor accessories including the aforementioned sensor 210, the first sensor 211, and at least one second sensor 212. In particular, for the bedside monitoring device 202, the sensor accessory 111 is an external sensor accessory that can be inserted through a sensor interface.
多参数监护仪或模块组件还可以包括主控电路113，主控电路113需要包括至少一个处理器1131和至少一个存储器1132，当然，主控电路还可以包括电源管理模块1133、电源IP模块和接口转换电路等中的至少之一。其中，所述处理器1131可为前述的处理器220，所述存储器1132可为前述的处理器270。The multi-parameter monitor or module component may also include a main control circuit 113. The main control circuit 113 needs to include at least one processor 1131 and at least one memory 1132. Of course, the main control circuit may also include a power management module 1133, a power IP module, and an interface. At least one of the conversion circuit, etc. The processor 1131 may be the aforementioned processor 220, and the memory 1132 may be the aforementioned processor 270.
电源管理模块1133用于控制整机开关机、板卡内部各电源域上电时序和电池充放电等。电源IP模块是指把经常重复调用的电源电路单元的原理图和PCB版图相关联，固化成单独的电源模块，即，将一输入电压通过预定的电路转换为一输出电压，其中，输入电压和输出电压不同。例如，将15V的电压转换为1.8V、3.3V或3.8V等。可以理解的是，电源IP模块可以是单路的，还可以是多路的。当电源IP模块为单路时，电源IP模块可以将一个输入电压转换为一个输出电压。当电源IP模块为多路时，电源IP模块可以将一个输入电压转换为多个输出电压，且多个输出电压的电压值可以相同，也可以不相同，从而能够同时满足多个电子元件的不同电压需求，并且模块对外接口少，在***中工作呈黑盒与外界硬件***解耦，提高了整个电源***的可靠性。接口转换电路用于将主控最小***模块(即主控电路中的至少一个处理器和至少一个存储器)输出的信号，转换为实际外部设备所要求接收的输入标准信号，例如，支持外接VGA显示功能，是将主控CPU输出的RGB数字信号转换为VGA模拟信号，支持对外网络功能，是将RMII信号转换为标准的网络差分信号。The power management module 1133 is used to control the power on and off of the whole machine, the power-on sequence of each power domain inside the board, and battery charging and discharging. The power IP module refers to associating the schematic diagram of the power circuit unit that is frequently called repeatedly with the PCB layout, and solidifying it into a separate power module, that is, converting an input voltage into an output voltage through a predetermined circuit, where the input voltage and The output voltage is different. For example, the voltage of 15V is converted to 1.8V, 3.3V or 3.8V. It is understandable that the power IP module can be single-channel or multi-channel. When the power IP module is a single channel, the power IP module can convert an input voltage into an output voltage. When the power IP module is multi-channel, the power IP module can convert one input voltage into multiple output voltages, and the voltage values of the multiple output voltages can be the same or different, so as to meet the differences of multiple electronic components at the same time Voltage demand, and the module has few external interfaces, it works in the system as a black box decoupling from the external hardware system, which improves the reliability of the entire power supply system. The interface conversion circuit is used to convert the signal output by the main control minimum system module (that is, at least one processor and at least one memory in the main control circuit) into an input standard signal required by the actual external device, for example, to support an external VGA display The function is to convert the RGB digital signal output by the main control CPU into a VGA analog signal, support the external network function, and convert the RMII signal into a standard network differential signal.
此外，多参数监护仪或模块组件还可以包括本地显示器114、报警电路116、输入接口电路117、对外通讯和电源接口115中的一个或多个。主控电路用于协调、控制多参数监护仪或模块组件中的各板卡、各电路和设备。在本实施例中，主控电路用于控制参数测量电路112和通讯接口电路之间的数据交互、以及控制信号的传输，并将生理数据输送到显示器114上进行显示，也可以接收来自触摸屏或者键盘、按键等物理输入接口电路输入的用户控制指令，当然还可以输出的关于如何采集生理参数的控制信号。报警电路116可以是声光报警电路和振动报警电路，可包括前述的指示灯250、扬声器250以及振动器270。主控电路完成生理参数的计算，并通过对外通讯和电源接口115可将参数的计算结果和波形发送到主机(如带显示器的主机、PC机、中央站等等)，对外通讯和电源接口115可以是以太网(Ethernet)、令牌环(Token Ring)、令牌总线(Token Bus)以及作为这三种网的骨干网光纤分布数据接口(FDDI)构成的局域网接口中的一个或其组合，还可以是红外、蓝牙、wifi、WMTS通讯等无线接口中的一个或其组合，或者还可以是RS232、USB等有线数据连接接口中的一个或其组合。对外通讯和电源接口115也可以是无线数据传输接口和有线数据传输接口中的一种或两种的组合。主机可以是监护仪的主机、心电图机，超声诊断仪，计算机等任何一个计算机设备，安装配合的软件，就能够组成一个监护设备。主机还可以是通讯设备，例如手机，多参数监护仪或模块组件通过蓝牙接口将数据发送到支持蓝牙通讯的手机上，实现数据的远程传输。In addition, the multi-parameter monitor or module assembly may also include one or more of the local display 114, the alarm circuit 116, the input interface circuit 117, and the external communication and power interface 115. The main control circuit is used to coordinate and control the boards, circuits and devices in the multi-parameter monitor or module assembly. In this embodiment, the main control circuit is used to control the data interaction between the parameter measurement circuit 112 and the communication interface circuit, as well as the transmission of control signals, and transmit the physiological data to the display 114 for display, or it can receive data from the touch screen or The user control instructions input by physical input interface circuits such as keyboards and keys can also output control signals on how to collect physiological parameters. The alarm circuit 116 may be an acousto-optic alarm circuit and a vibration alarm circuit, and may include the aforementioned indicator light 250, speaker 250, and vibrator 270. The main control circuit completes the calculation of physiological parameters, and can send the calculation results and waveforms of the parameters to the host (such as a host with a display, PC, central station, etc.) through the external communication and power interface 115, and the external communication and power interface 115 It can be one or a combination of Ethernet, Token Ring, Token Bus, and the fiber distribution data interface (FDDI) of the backbone network of these three networks. It may also be one or a combination of wireless interfaces such as infrared, Bluetooth, wifi, and WMTS communication, or may also be one or a combination of wired data connection interfaces such as RS232 and USB. The external communication and power interface 115 may also be one or a combination of a wireless data transmission interface and a wired data transmission interface. The host can be any computer equipment such as the host of the monitor, an electrocardiograph, an ultrasonic diagnostic apparatus, a computer, etc., and a monitoring device can be formed by installing matching software. The host can also be a communication device, such as a mobile phone, a multi-parameter monitor, or a module component that sends data to a mobile phone that supports Bluetooth communication through a Bluetooth interface to realize remote data transmission.
其中，对于监护设备200来说，本地显示器114即为显示屏240，输入接口电路117可为与显示屏240整合的触摸板等，而构成触摸显示屏，对外通讯和电源接口115可为前述的通信单元280。对于监护设备200来说，本地显示器114即为显示屏240，输入接口电路117可为与显示屏240整合的触摸板、对外通讯和电源接口115可为前述的通信单元280。Among them, for the monitoring device 200, the local display 114 is the display 240, and the input interface circuit 117 can be a touch panel integrated with the display 240 to form a touch display. The external communication and power interface 115 can be the aforementioned Communication unit 280. For the monitoring device 200, the local display 114 is the display screen 240, the input interface circuit 117 can be a touch panel integrated with the display screen 240, and the external communication and power interface 115 can be the aforementioned communication unit 280.
多参数监护模块组件可以设置在监护仪外壳之外，作为独立的外插参数模块，可以通过***到监护仪的主机(包含主控板)形成插件式监护仪，作为监护仪的一部分，或者也可以通过电缆与监护仪的主机(包含主控板)连接，外插参数模块作为监护仪外置的一个配件。当然，参数处理还可以内置于外壳之内，与主控模块集成，或物理分离设置在外壳之内，形成集成监护仪。The multi-parameter monitoring module component can be set outside the monitor shell, as an independent external plug-in parameter module, which can be inserted into the host (including the main control board) of the monitor to form a plug-in monitor as a part of the monitor, or also It can be connected to the monitor's host (including the main control board) through a cable, and the external parameter module is used as an external accessory of the monitor. Of course, the parameter processing can also be built in the shell, integrated with the main control module, or physically separated and set in the shell to form an integrated monitor.
其中，所述存储器230可以包括高速随机存取存储器，还可以包括非易失性存储器，例如硬盘、内存、插接式硬盘，智能存储卡(Smart Media Card,SMC)，安全数字(Secure Digital,SD)卡，闪存卡(Flash Card)、多个磁盘存储器件、闪存器件、或其他易失性固态存储器件。Wherein, the memory 230 may include a high-speed random access memory, and may also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), and a secure digital (Secure Digital, SD) card, flash card, multiple disk storage devices, flash memory devices, or other volatile solid-state storage devices.
所述处理器220是中央处理单元(Central Processing Unit，CPU)，还可以是其他通用处理器、数字信号处理器(Digital Signal Processor，DSP)、专用集成电路(Application Specific Integrated Circuit，ASIC)、现场可编程门阵列(Field-Programmable Gate Array，FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件等。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。The processor 220 is a central processing unit (Central Processing Unit, CPU), and may also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), on-site Field-Programmable Gate Array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor or the like.
本文参照了各种示范实施例进行说明。然而，本领域的技术人员将认识到，在不脱离本文范围的情况下，可以对示范性实施例做出改变和修正。例如，各种操作步骤以及用于执行操作步骤的组件，可以根据特定的应用或考虑与***的操作相关联的任何数量的成本函数以不同的方式实现(例如一个或多个步骤可以被删除、修改或结合到其他步骤中)。This document is described with reference to various exemplary embodiments. However, those skilled in the art will recognize that changes and modifications can be made to the exemplary embodiments without departing from the scope of this document. For example, various operation steps and components used to perform the operation steps can be implemented in different ways according to a specific application or considering any number of cost functions associated with the operation of the system (for example, one or more steps can be deleted, Modify or incorporate into other steps).
另外，如本领域技术人员所理解的，本文的原理可以反映在计算机可读存储介质上的计算机程序产品中，该可读存储介质预装有计算机可读程序代码。任何有形的、非暂时性的计算机可读存储介质皆可被使用，包括磁存储设备(硬盘、软盘等)、光学存储设备(CD-ROM、DVD、Blu Ray盘等)、闪存和/或诸如此类。这些计算机程序指令可被加载到通用计算机、专用计算机或其他可编程数据处理设备上以形成机器，使得这些在计算机上或其他可编程数据处理装置上执行的指令可以生成实现指定的功能的装置。这些计算机程序指令也可以存储在计算机可读存储器中，该计算机可读存储器可以指示计算机或其他可编程数据处理设备以特定的方式运行，这样存储在计算机可读存储器中的指令就可以形成一件制造品，包括实现指定功能的实现装置。计算机程序指令也可以加载到计算机或其他可编程数据处理设备上，从而在计算机或其他可编程设备上执行一系列操作步骤以产生一个计算机实现的进程，使得在计算机或其他可编程设备上执行的指令可以提供用于实现指定功能的步骤。In addition, as understood by those skilled in the art, the principles herein can be reflected in a computer program product on a computer-readable storage medium, which is pre-installed with computer-readable program code. Any tangible, non-transitory computer-readable storage medium can be used, including magnetic storage devices (hard disks, floppy disks, etc.), optical storage devices (CD-ROM, DVD, Blu Ray disks, etc.), flash memory and/or the like . These computer program instructions can be loaded on a general-purpose computer, a special-purpose computer, or other programmable data processing equipment to form a machine, so that these instructions executed on the computer or other programmable data processing device can generate a device that realizes the specified function. These computer program instructions can also be stored in a computer-readable memory, which can instruct a computer or other programmable data processing equipment to operate in a specific manner, so that the instructions stored in the computer-readable memory can form a piece of Manufactured products, including realization devices that realize specified functions. Computer program instructions can also be loaded on a computer or other programmable data processing equipment, thereby executing a series of operation steps on the computer or other programmable equipment to produce a computer-implemented process, so that the execution on the computer or other programmable equipment Instructions can provide steps for implementing specified functions.
虽然在各种实施例中已经示出了本文的原理，但是许多特别适用于特定环境和操作要求的结构、布置、比例、元件、材料和部件的修改可以在不脱离本披露的原则和范围内使用。以上修改和其他改变或修正将被包含在本文的范围之内。Although the principles herein have been shown in various embodiments, many modifications of structures, arrangements, proportions, elements, materials, and components that are particularly suitable for specific environments and operating requirements can be made without departing from the principles and scope of this disclosure. use. The above modifications and other changes or amendments will be included in the scope of this article.
前述具体说明已参照各种实施例进行了描述。然而，本领域技术人员将认识到，可以在不脱离本披露的范围的情况下进行各种修正和改变。因此，对于本披露的考虑将是说明性的而非限制性的意义上的，并且所有这些修改都将被包含在其范围内。同样，有关于各种实施例的优点、其他优点和问题的解决方案已如上所述。然而，益处、优点、问题的解决方案以及任何能产生这些的要素，或使其变得更明确的解决方案都不应被解释为关键的、必需的或必要的。本文中所用的术语“包括”和其任何其他变体，皆属于非排他性包含，这样包括要素列表的过程、方法、文章或设备不仅包括这些要素，还包括未明确列出的或不属于该过程、方法、***、文章或设备的其他要素。此外，本文中所使用的术语“耦合”和其任何其他变体都是指物理连接、电连接、磁连接、光连接、通信连接、功能连接和/或任何其他连接。The foregoing detailed description has been described with reference to various embodiments. However, those skilled in the art will recognize that various modifications and changes can be made without departing from the scope of this disclosure. Therefore, the consideration of this disclosure will be in an illustrative rather than restrictive sense, and all these modifications will be included in its scope. Likewise, the advantages, other advantages, and solutions to problems of the various embodiments have been described above. However, benefits, advantages, solutions to problems, and any solutions that can produce these or make them more specific should not be construed as critical, necessary, or necessary. The term "including" and any other variants used in this article are non-exclusive inclusions. Such a process, method, article or device that includes a list of elements not only includes these elements, but also includes those that are not explicitly listed or are not part of the process. , Methods, systems, articles or other elements of equipment. In addition, the term "coupled" and any other variations thereof used herein refer to physical connection, electrical connection, magnetic connection, optical connection, communication connection, functional connection and/or any other connection.
具有本领域技术的人将认识到，在不脱离本申请的基本原理的情况下，可以对上述实 施例的细节进行许多改变。因此，本申请的范围应仅由以下权利要求确定。Those skilled in the art will recognize that many changes can be made to the details of the above-mentioned embodiments without departing from the basic principles of the present application. Therefore, the scope of this application should only be determined by the following claims.

Claims (114)

  1. 一种规则性评价信息的分析方法，其特征在于，所述方法包括：A method for analyzing regular evaluation information, characterized in that the method includes:
    通过传感器获取测量对象的与脉搏波信号相关的周期性生理信号，其中，所述传感器为非心电传感器；Obtain periodic physiological signals related to the pulse wave signal of the measurement object through a sensor, where the sensor is a non-cardiograph sensor;
    从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号；Extracting a pulse wave signal related to the measurement object from the periodic physiological signal;
    根据所述脉搏波信号，分析得到规则性评价信息。According to the pulse wave signal, the regularity evaluation information is obtained by analysis.
  2. 如权利要求1所述的分析方法，其特征在于，所述根据所述脉搏波信号，分析得到规则性评价信息，包括：The analysis method according to claim 1, wherein said analyzing and obtaining regularity evaluation information according to said pulse wave signal comprises:
    根据所述脉搏波信号，获取表征脉搏波的波动节律的特征值；Obtaining a characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal;
    分析所述特征值，得到规则性评价信息。The characteristic value is analyzed to obtain regularity evaluation information.
  3. 如权利要求2所述的分析方法，其特征在于，所述根据所述脉搏波信号获取表征脉搏波的波动节律的特征值，包括：3. The analysis method according to claim 2, wherein the acquiring the characteristic value of the fluctuation rhythm of the pulse wave according to the pulse wave signal comprises:
    采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述脉搏波信号进行特征提取而得到相应的至少一个特征值。At least one analysis technology of time domain technology, frequency domain technology and nonlinear dynamics technology is used to perform feature extraction on the pulse wave signal to obtain the corresponding at least one feature value.
  4. 如权利要求3所述的分析方法，其特征在于，所述根据所述脉搏波信号获取表征脉搏波的波动节律的特征值，包括：The analysis method according to claim 3, wherein said obtaining the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal comprises:
    采用时域技术对脉搏波信号进行特征提取而得到至少一个时域特征值。Using time domain technology to perform feature extraction on the pulse wave signal to obtain at least one time domain feature value.
  5. 如权利要求4所述的分析方法，其特征在于，所述至少一个时域特征值包括脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度中的至少一种。The analysis method of claim 4, wherein the at least one time domain characteristic value includes at least one of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, and pulse width.
  6. 如权利要求3所述的分析方法，其特征在于，所述根据所述脉搏波信号获取表征脉搏波的波动节律的特征值，包括：The analysis method according to claim 3, wherein said obtaining the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal comprises:
    采用频域技术将脉搏波信号转换为频域信号，然后对频域信号进行特征提取而得到至少一个频域特征值。The frequency domain technology is used to convert the pulse wave signal into a frequency domain signal, and then the frequency domain signal is feature extracted to obtain at least one frequency domain feature value.
  7. 如权利要求6所述的分析方法，其特征在于，所述频域特征值包括频谱特征、功率谱特征中的至少一种。The analysis method according to claim 6, wherein the frequency domain characteristic value includes at least one of a frequency spectrum characteristic and a power spectrum characteristic.
  8. 如权利要求3所述的分析方法，其特征在于，所述根据所述脉搏波信号获取表征脉搏波的波动节律的特征值，包括：The analysis method according to claim 3, wherein said obtaining the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal comprises:
    采用非线性动力学技术对脉搏波信号进行特征提取而得到至少一个非线性动力学特征值。Using nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least one nonlinear dynamics feature value.
  9. 如权利要求8所述的分析方法，其特征在于，所述非线性动力学特征值包括熵值或复杂度。8. The analysis method according to claim 8, wherein the nonlinear dynamic characteristic value includes entropy or complexity.
  10. 如权利要求3-8任一项所述的分析方法，其特征在于，所述分析所述特征值得到规则性评价信息，包括：8. The analysis method according to any one of claims 3-8, wherein said analyzing said characteristic value to obtain regularity evaluation information comprises:
    将所述至少一个特征值与对应的至少一个特征值阈值进行比较，并根据比较结果得到规则性评价信息；和/或Compare the at least one characteristic value with the corresponding at least one characteristic value threshold, and obtain regularity evaluation information according to the comparison result; and/or
    通过机器学习方法，将所述至少一个特征值作为输入，而得出所述规则性评价信息这一输出。Through a machine learning method, the at least one feature value is used as an input to obtain the output of the regularity evaluation information.
  11. 如权利要求3-8任一项所述的分析方法，其特征在于，所述根据所述脉搏波信号获取表征脉搏波的波动节律的特征值，进一步包括：8. The analysis method according to any one of claims 3-8, wherein the acquiring the characteristic value of the fluctuation rhythm of the pulse wave according to the pulse wave signal further comprises:
    对一时间段或若干个周期的脉搏波信号进行特征提取而得到至少两个特征值；Perform feature extraction on pulse wave signals of a period of time or several cycles to obtain at least two feature values;
    所述分析所述特征值得到规则性评价信息，包括：The analyzing the characteristic value to obtain regularity evaluation information includes:
    通过统计学分析方法和/或机器学习方法对所述至少两个特征值进行分析，而得到所述规则性评价信息。The at least two characteristic values are analyzed by a statistical analysis method and/or a machine learning method to obtain the regularity evaluation information.
  12. 如权利要求11所述的分析方法，其特征在于，所述通过统计学分析方法和/或机 器学习方法对所述至少两个特征值进行分析，而得到所述规则性评价信息，包括：The analysis method according to claim 11, wherein the analysis of the at least two characteristic values by a statistical analysis method and/or a machine learning method to obtain the regularity evaluation information comprises:
    通过统计学分析方法对所述至少两个特征值进行分析，得到统计分析数据，以及根据所述统计分析数据得到所述规则性评价信息；和/或Analyze the at least two characteristic values by a statistical analysis method to obtain statistical analysis data, and obtain the regularity evaluation information according to the statistical analysis data; and/or
    通过机器学习方法，将所述至少两个特征值作为输入，而得出所述规则性评价信息这一输出。Through a machine learning method, the at least two feature values are used as inputs to obtain the output of the regularity evaluation information.
  13. 如权利要求3所述的分析方法，其特征在于，所述采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述脉搏波信号进行特征提取而得到相应的至少一个特征值，包括：The analysis method according to claim 3, wherein the characteristic extraction of the pulse wave signal is performed on the pulse wave signal by using at least one of the time domain technology, the frequency domain technology and the nonlinear dynamics technology to obtain the corresponding At least one characteristic value, including:
    采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述脉搏波信号进行特征提取而获取至少两类特征值，根据两类特征值以及每类特征值的权重值得出最终的至少一个特征值。At least one analysis technology of time domain technology, frequency domain technology and nonlinear dynamics technology is used to extract features of the pulse wave signal to obtain at least two types of feature values, according to the two types of feature values and the weight of each type of feature value At least one characteristic value is worthy.
  14. 如权利要求13所述的分析方法，其特征在于，所述至少两类特征值包括通过不同的分析技术分析出来的至少两个特征值和/或通过相同的分析技术分析出来的至少两个不同的特征值。The analysis method according to claim 13, wherein the at least two types of characteristic values include at least two characteristic values analyzed by different analysis techniques and/or at least two different characteristic values analyzed by the same analysis technique. The characteristic value.
  15. 如权利要求3-8任一项所述的分析方法，其特征在于，所述方法还包括：The analysis method according to any one of claims 3-8, wherein the method further comprises:
    对脉搏波信号的质量进行评估而得到质量因子；以及The quality factor is obtained by evaluating the quality of the pulse wave signal; and
    根据所述质量因子确定是否采用或舍弃当前得到的脉搏波信号。According to the quality factor, it is determined whether to adopt or discard the pulse wave signal currently obtained.
  16. 如权利要求15所述的分析方法，其特征在于，所述分析所述特征值得到规则性评价信息，包括：The analysis method according to claim 15, wherein said analyzing said characteristic value to obtain regularity evaluation information comprises:
    当根据所述质量因子确定当前得到的脉搏波信号可被采用时，根据所述获取出的特征值进行进一步分析，得到规则性评价信息。When it is determined according to the quality factor that the currently obtained pulse wave signal can be used, further analysis is performed according to the obtained characteristic value to obtain regularity evaluation information.
  17. 如权利要求15所述的分析方法，其特征在于，所述分析所述特征值得到规则性评价信息，包括：The analysis method according to claim 15, wherein said analyzing said characteristic value to obtain regularity evaluation information comprises:
    当根据所述质量因子确定当前得到的脉搏波信号可被采用时，根据所述质量因子以及所述获取出的特征值进行进一步分析，得到规则性评价信息。When it is determined according to the quality factor that the currently obtained pulse wave signal can be used, further analysis is performed according to the quality factor and the acquired characteristic value to obtain regularity evaluation information.
  18. 如权利要求17所述的分析方法，其特征在于，所述根据所述质量因子以及所述获取出的特征值进行进一步分析，得到规则性评价信息包括：The analysis method according to claim 17, wherein the further analysis is performed according to the quality factor and the obtained characteristic value to obtain the regularity evaluation information comprises:
    根据质量因子确定所述特征值的权重值以及所述质量因子的权重值；Determining the weight value of the characteristic value and the weight value of the quality factor according to the quality factor;
    根据所述特征值的权重值以及所述质量因子的权重值对所述特征值和所述质量因子进行加权计算得到加权特征值；Performing a weighted calculation on the characteristic value and the quality factor according to the weight value of the characteristic value and the weight value of the quality factor to obtain a weighted characteristic value;
    根据加权特征值进行分析，得到所述规则性评价信息。Analyze according to the weighted feature value to obtain the regularity evaluation information.
  19. 如权利要求17所述的分析方法，其特征在于，所述根据所述质量因子以及所述获取出的特征值进行进一步分析，得到规则性评价信息包括：The analysis method according to claim 17, wherein the further analysis is performed according to the quality factor and the obtained characteristic value to obtain the regularity evaluation information comprises:
    将所述质量因子映射为所述获取出的特征值的质量因子系数；Mapping the quality factor to the quality factor coefficient of the acquired characteristic value;
    将所述特征值和质量因子系数计算得到校正特征值；Calculating the characteristic value and the quality factor coefficient to obtain a corrected characteristic value;
    根据所述校正特征值进行分析，得到所述规则性评价信息。Perform analysis according to the corrected characteristic value to obtain the regularity evaluation information.
  20. 如权利要求19所述的分析方法，其特征在于，所述将所述质量因子映射为所述获取出的特征值的质量因子系数，包括：The analysis method of claim 19, wherein the mapping the quality factor to the quality factor coefficient of the acquired characteristic value comprises:
    将所述质量因子与对应的质量因子阈值进行比较，根据比较结果将所述质量因子映射为所述获取出的特征值的质量因子系数。The quality factor is compared with the corresponding quality factor threshold, and the quality factor is mapped to the quality factor coefficient of the acquired characteristic value according to the comparison result.
  21. 如权利要求3-8任一项所述的分析方法，其特征在于，在根据所述脉搏波信号获取表征脉搏波的波动节律的特征值之后，所述方法还包括：8. The analysis method according to any one of claims 3-8, characterized in that, after acquiring the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal, the method further comprises:
    将提取出的特征值转换为中间特征值；Convert the extracted feature value into an intermediate feature value;
    所述分析所述特征值得到规则性评价信息，包括：The analyzing the characteristic value to obtain regularity evaluation information includes:
    基于所述中间特征值进行分析得到规则性评价信息。Analyze based on the intermediate feature value to obtain regularity evaluation information.
  22. 如权利要求21所述的分析方法，其特征在于，所述中间特征值包括脉率值，所述将提取出的特征值转换为中间特征值，包括：The analysis method according to claim 21, wherein the intermediate characteristic value comprises a pulse rate value, and the converting the extracted characteristic value into the intermediate characteristic value comprises:
    将提取出的特征值转换为脉率值；Convert the extracted characteristic value to pulse rate value;
    所述基于所述中间特征值进行分析得到规则性评价信息，包括：The analyzing and obtaining regularity evaluation information based on the intermediate characteristic value includes:
    基于所述脉率值进行分析得到规则性评价信息。Analysis based on the pulse rate value to obtain regularity evaluation information.
  23. 如权利要求21所述的分析方法，其特征在于，所述中间特征值包括脉搏音特征值，所述将提取出的特征值转换为中间特征值，包括：The analysis method according to claim 21, wherein the intermediate characteristic value comprises a pulse sound characteristic value, and the converting the extracted characteristic value into the intermediate characteristic value comprises:
    将提取出的特征值转换为脉搏音特征值；Convert the extracted characteristic values into pulse sound characteristic values;
    所述基于所述中间特征值进行分析得到规则性评价信息，包括：The analyzing and obtaining regularity evaluation information based on the intermediate characteristic value includes:
    基于所述脉搏音特征值进行分析得到规则性评价信息。Based on the analysis of the pulse sound characteristic value, regularity evaluation information is obtained.
  24. 如权利要求23所述的分析方法，其特征在于，所述将提取出的特征值转换为脉搏音特征值包括：The analysis method of claim 23, wherein said converting the extracted characteristic value into a pulse sound characteristic value comprises:
    根据提取出的特征值确定脉搏的波峰或波谷的到达时刻，在波峰或波谷的到达时刻进行波峰或波谷标记；Determine the arrival time of the peak or trough of the pulse according to the extracted characteristic value, and mark the peak or trough at the arrival time of the peak or trough;
    根据波峰或波谷标记生成脉搏音特征值。Generate pulse sound characteristic values based on the peak or trough mark.
  25. 如权利要求23所述的分析方法，其特征在于，所述基于所述脉搏音特征值进行分析得到规则性评价信息包括：22. The analysis method of claim 23, wherein the analysis based on the characteristic value of the pulse sound to obtain the regularity evaluation information comprises:
    对一时间段内或若干个周期的脉搏波信号的波峰或波谷进行标记而得到至少两个波峰标记或波谷标记，得到由至少两个波峰标记或至少两个波谷标记生成的至少两个脉搏音特征值；Mark the peaks or troughs of the pulse wave signal within a period of time or several cycles to obtain at least two peak marks or trough marks, and obtain at least two pulse sounds generated by at least two wave crest marks or at least two trough marks Eigenvalues;
    通过统计学分析和/或机器学习方式对所述至少两个脉搏音特征值进行分析，而得到所述规则性评价信息。The at least two pulse sound characteristic values are analyzed through statistical analysis and/or machine learning methods to obtain the regularity evaluation information.
  26. 如权利要求1所述的分析方法，其特征在于，所述方法还包括：8. The analysis method of claim 1, wherein the method further comprises:
    根据规则性评价信息的类型输出提示信息。Output prompt information according to the type of regular evaluation information.
  27. 如权利要求26所述的分析方法，其特征在于，所述提示信息包括脉搏波相关信息、可执行功能的相关信息以及所述规则性评价信息中的至少一种。The analysis method of claim 26, wherein the prompt information includes at least one of pulse wave-related information, executable function-related information, and the regularity evaluation information.
  28. 如权利要求27所述的分析方法，其特征在于，所述规则性评价信息的类型包括用于表示规则或不规则的脉搏搏动和/或心脏节律的评价结果。The analysis method according to claim 27, wherein the type of the regularity evaluation information includes an evaluation result used to indicate regular or irregular pulse beats and/or heart rhythms.
  29. 如权利要求27或28所述的分析方法，其特征在于，所述脉搏波相关信息包括脉搏波波形和/或节律量化参数值，所述可执行功能为所述规则性评价信息满足预设条件时下一步可执行的功能。The analysis method according to claim 27 or 28, wherein the pulse wave-related information includes pulse wave waveform and/or rhythm quantization parameter value, and the executable function is that the regularity evaluation information satisfies a preset condition The function that can be executed in the next step.
  30. 如权利要求29所述的分析方法，其特征在于，所述节律量化参数值包括以下的至少一个：频域特征、非线性动力学特征、脉搏频率相关量、时域特征值、时域特征值的统计量、变异相关量以及预设阈值。The analysis method of claim 29, wherein the rhythm quantization parameter value includes at least one of the following: frequency domain characteristics, nonlinear dynamics characteristics, pulse frequency related quantities, time domain characteristic values, time domain characteristic values Statistics, variation related quantities and preset thresholds.
  31. 如权利要求30所述的分析方法，其特征在于，其中：The analysis method of claim 30, wherein:
    所述频域特征至少包括频谱特征、功率谱特征中的其中之一；和/或The frequency domain feature includes at least one of a spectrum feature and a power spectrum feature; and/or
    所述非线性动力学特征至少包括熵值、复杂度中的其中之一，其中，所述熵值至少包括信息熵、谱熵、近似熵、样本熵、模糊熵中的其中之一；和/或The nonlinear dynamic feature includes at least one of entropy and complexity, wherein the entropy includes at least one of information entropy, spectral entropy, approximate entropy, sample entropy, and fuzzy entropy; and/ or
    所述脉搏频率相关量包含脉率和/或脉率的统计分析量，其中，所述脉率的统计分析量至少包括最大脉率值和/或最小脉率值；和/或The pulse frequency-related quantity includes pulse rate and/or a statistical analysis quantity of pulse rate, wherein the statistical analysis quantity of pulse rate includes at least a maximum pulse rate value and/or a minimum pulse rate value; and/or
    所述时域特征值至少包括脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度中的其中之一；和/或The time domain characteristic value includes at least one of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, and pulse width; and/or
    所述时域特征值的统计量至少包括脉搏间隔的差值、脉搏幅度的差值、脉搏斜率的差值、 脉搏面积的差值、脉搏包络的差值、脉搏宽度的差值、脉搏间隔的均值、脉搏幅度的均值、脉搏斜率的均值、脉搏面积的均值、脉搏包络的均值、脉搏宽度的均值、脉搏间隔的标准差、脉搏幅度的标准差、脉搏波斜率的标准差、脉搏面积的标准差、脉搏包络的标准差、脉搏宽度的标准差、脉搏间隔的加和、脉搏幅度的加和、脉搏斜率的加和、脉搏面积的加和、脉搏包络的加和、脉搏宽度的加和、脉搏间隔的比值、脉搏幅度的比值、脉搏斜率的比值、脉搏面积的比值、脉搏包络的比值、脉搏宽度的比值、脉搏间隔的差值的均值、脉搏幅度差值的均值、脉搏斜率差值的均值、脉搏面积差值的均值、脉搏包络差值的均值、脉搏宽度差值的均值、脉搏间隔的差值的积分、脉搏幅度差值的积分、脉搏斜率差值的积分、脉搏面积差值的积分、脉搏包络差值的积分、脉搏宽度差值的积分、最大脉率值、最小脉率值中的其中之一；和/或The statistics of the time-domain characteristic values include at least the difference in pulse interval, the difference in pulse amplitude, the difference in pulse slope, the difference in pulse area, the difference in pulse envelope, the difference in pulse width, and the pulse interval. Mean value of pulse amplitude, mean value of pulse slope, mean value of pulse area, mean value of pulse envelope, mean value of pulse width, standard deviation of pulse interval, standard deviation of pulse amplitude, standard deviation of pulse wave slope, pulse area Standard deviation of pulse envelope, standard deviation of pulse envelope, standard deviation of pulse width, sum of pulse intervals, sum of pulse amplitude, sum of pulse slope, sum of pulse area, sum of pulse envelope, pulse width The sum of the pulse interval ratio, the ratio of pulse amplitude, the ratio of pulse slope, the ratio of pulse area, the ratio of pulse envelope, the ratio of pulse width, the average value of pulse interval difference, the average value of pulse amplitude difference, Mean value of pulse slope difference, mean value of pulse area difference, mean value of pulse envelope difference, mean value of pulse width difference, integral of pulse interval difference, integral of pulse amplitude difference, integral of pulse slope difference , One of the integral of the pulse area difference, the integral of the pulse envelope difference, the integral of the pulse width difference, the maximum pulse rate value, and the minimum pulse rate value; and/or
    所述变异相关量至少包括变异度、变异次数中的其中之一。The variation related quantity includes at least one of the degree of variation and the number of variations.
  32. 如权利要求29所述的分析方法，其特征在于，所述节律量化参数值包括以下的至少一个：包括脉搏间隔、脉搏幅度、脉率值、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度在内的至少一个特征值；The analysis method of claim 29, wherein the rhythm quantification parameter value includes at least one of the following: pulse interval, pulse amplitude, pulse rate value, pulse area, pulse slope, pulse envelope, pulse width At least one characteristic value within;
    包括根据至少一个特征值统计分析出的最值、加和、积分、比值、差值、均值、标准差、最大间隔期、最小间隔期、脉搏变异度、变异次数、最大脉率值、最小脉率值中的至少之一在内的统计分析数据；以及Including the maximum value, sum, integral, ratio, difference, mean, standard deviation, maximum interval, minimum interval, pulse variability, number of variations, maximum pulse rate, and minimum pulse statistically analyzed based on at least one characteristic value. Statistical analysis data including at least one of the rate values; and
    包括变异度阈值、变异次数阈值在内的至少一个阈值。At least one threshold including the threshold of the degree of variation and the threshold of the number of mutations.
  33. 如权利要求26所述的分析方法，其特征在于，所述规则性评价信息至少通过以下形式之一的方式输出：文字、图案、光、声音、震动。The analysis method of claim 26, wherein the regularity evaluation information is output in at least one of the following forms: text, pattern, light, sound, and vibration.
  34. 如权利要求1所述的分析方法，其特征在于，所述规则性评价信息的类型包括用于表示规则或不规则的脉搏搏动和/或心脏节律的评价结果，所述方法还包括：The analysis method according to claim 1, wherein the type of the regularity evaluation information includes an evaluation result used to indicate regular or irregular pulse and/or heart rhythm, and the method further comprises:
    在所述规则性评价信息为不规则时，输出报警信息。When the regularity evaluation information is irregular, output warning information.
  35. 如权利要求34所述的分析方法，其特征在于，所述报警信息的表现形式包括文字、图案、光、声音、振动中的至少一种。The analysis method according to claim 34, wherein the manifestation of the alarm information includes at least one of text, pattern, light, sound, and vibration.
  36. 如权利要求34所述的分析方法，其特征在于，所述在所述规则性评价信息为不规则时，输出报警信息，包括：The analysis method according to claim 34, wherein said outputting alarm information when said regularity evaluation information is irregular comprises:
    根据获取的特征值确定报警档位，控制输出相应报警档位的报警信息，其中，所述报警档位包括至少两个档位。The alarm gear is determined according to the acquired characteristic value, and the alarm information of the corresponding alarm gear is controlled to output, wherein the alarm gear includes at least two gears.
  37. 如权利要求1所述的分析方法，其特征在于，所述传感器包括光电传感器、压力传感器、电磁传感器、声音传感器以及加速度传感器中的至少一种。The analysis method according to claim 1, wherein the sensor includes at least one of a photoelectric sensor, a pressure sensor, an electromagnetic sensor, a sound sensor, and an acceleration sensor.
  38. 一种规则性评价信息的分析方法，其特征在于，所述方法包括：A method for analyzing regular evaluation information, characterized in that the method includes:
    通过第一传感器获取测量对象的周期性生理信号，其中，所述第一传感器为非心电传感器；Obtain the periodic physiological signal of the measuring object through a first sensor, where the first sensor is a non-cardiograph sensor;
    通过至少一个第二传感器获取人体的其他生理体征信号；Acquiring other physiological signs of the human body through at least one second sensor;
    从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号；Extracting a pulse wave signal related to the measurement object from the periodic physiological signal;
    根据所述脉搏波信号以及所述其他生理体征信号得到规则性评价信息。Obtain regularity evaluation information according to the pulse wave signal and the other physiological sign signals.
  39. 如权利要求38所述的分析方法，其特征在于，所述根据所述脉搏波信号以及所述其他生理体征信号得到规则性评价信息，包括：The analysis method according to claim 38, wherein said obtaining regularity evaluation information according to said pulse wave signal and said other physiological sign signals comprises:
    在所述脉搏波信号中滤除其他生理体征信号的影响而得到过滤后的脉搏波信号；以及Filter out the influence of other physiological signs from the pulse wave signal to obtain a filtered pulse wave signal; and
    根据所述过滤后的脉搏波信号获取表征脉搏波的波动节律的特征值。According to the filtered pulse wave signal, a characteristic value representing the fluctuation rhythm of the pulse wave is obtained.
  40. 如权利要求39所述的分析方法，其特征在于，所述在所述脉搏波信号中滤除其他生理体征信号的影响而得到过滤后的脉搏波信号，包括：The analysis method of claim 39, wherein the filtering out the influence of other physiological signs from the pulse wave signal to obtain the filtered pulse wave signal comprises:
    根据脉搏波信号得出节律量化参数值以及根据所述其他生理体征信号得到其他生理体 征参数值；Obtaining rhythm quantification parameter values according to the pulse wave signal and obtaining other physiological sign parameter values according to the other physiological sign signals;
    根据所述节律量化参数值和所述其他生理体征参数值确定过滤方案；Determining a filtering scheme according to the rhythm quantification parameter value and the other physiological sign parameter value;
    根据所述过滤方案在所述脉搏波信号中滤除其他生理体征信号的影响而得到过滤后的脉搏波信号。According to the filtering scheme, the pulse wave signal is filtered out of the influence of other physiological signs to obtain the filtered pulse wave signal.
  41. 如权利要求40所述的分析方法，其特征在于，所述过滤方案包括选择的过滤器和过滤参数，所述根据所述节律量化参数值和所述其他生理体征信号确定过滤方案包括：The analysis method according to claim 40, wherein the filtering scheme includes selected filters and filtering parameters, and the determining the filtering scheme according to the rhythm quantization parameter value and the other physiological sign signals comprises:
    根据所述节律量化参数值和所述其他生理体征参数值的比值或差值确定对应的目标过滤器和目标过滤参数；Determining the corresponding target filter and target filtering parameter according to the ratio or difference between the rhythm quantification parameter value and the other physiological sign parameter value;
    所述根据所述过滤方案所述脉搏波信号中滤除其他生理体征信号的影响而得到过滤后的脉搏波信号，包括：The filtering of the pulse wave signal according to the filtering scheme to filter out the influence of other physiological signs signals to obtain the filtered pulse wave signal includes:
    通过所述目标过滤器以所述目标过滤参数对所述脉搏波信号进行过滤，而得到过滤后的脉搏波信号。The pulse wave signal is filtered with the target filter parameter through the target filter to obtain a filtered pulse wave signal.
  42. 如权利要求41述的分析方法，其特征在于，所述根据所述节律量化参数值和所述其他生理体征参数值的比值或差值确定对应的目标过滤器和目标过滤参数，包括：The analysis method according to claim 41, wherein the determining the corresponding target filter and target filtering parameter according to the ratio or difference of the rhythm quantification parameter value and the other physiological sign parameter value comprises:
    根据预设的比值或差值与过滤方案的对应关系，确定所述节律量化参数值和所述其他生理体征参数值的比值对应的过滤方案；Determine the filtering scheme corresponding to the ratio of the rhythm quantification parameter value and the other physiological sign parameter value according to the preset ratio or difference value and the corresponding relationship between the filtering scheme;
    确定过滤方案中的过滤器和过滤参数分别为所述目标过滤器和目标过滤参数。It is determined that the filter and the filtering parameter in the filtering scheme are the target filter and the target filtering parameter respectively.
  43. 如权利要求40-42任一项所述的分析方法，其特征在于，所述第二传感器包括呼吸传感器，所述其他生理体征信号包括呼吸信号，所述其他生理体征参数值包括呼吸率，所述节律量化参数值包括脉率值。The analysis method according to any one of claims 40-42, wherein the second sensor comprises a respiration sensor, the other physiological sign signals include respiration signals, and the other physiological sign parameter values include respiration rate, so The rhythm quantization parameter value includes the pulse rate value.
  44. 如权利要求39所述的分析方法，其特征在于，所述根据所述过滤后的脉搏波信号获取表征脉搏波的波动节律的特征值，包括：39. The analysis method according to claim 39, wherein the obtaining the characteristic value of the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal comprises:
    采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述脉搏波信号进行特征提取而得到相应的至少一个特征值。At least one analysis technology of time domain technology, frequency domain technology and nonlinear dynamics technology is used to perform feature extraction on the pulse wave signal to obtain the corresponding at least one feature value.
  45. 如权利要求44所述的分析方法，其特征在于，所述根据所述过滤后的脉搏波信号获取表征脉搏波的波动节律的特征值，包括：The analysis method according to claim 44, wherein said obtaining the characteristic value representing the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal comprises:
    采用时域技术对所述过滤后的脉搏波信号进行特征提取而得到至少一个时域特征值。Using time domain technology to perform feature extraction on the filtered pulse wave signal to obtain at least one time domain feature value.
  46. 如权利要求45所述的分析方法，其特征在于，所述至少一个时域特征值包括脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度中的至少一种。The analysis method according to claim 45, wherein the at least one time domain characteristic value comprises at least one of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, and pulse width.
  47. 如权利要求46所述的分析方法，其特征在于，所述脉搏波信号根据所述过滤后的脉搏波信号获取表征脉搏波的波动节律的特征值，包括：The analysis method according to claim 46, wherein the pulse wave signal acquiring the characteristic value of the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal comprises:
    采用频域技术将脉搏波信号转换为频域信号，然后对频域信号进行特征提取而得到至少一个频域特征值。The frequency domain technology is used to convert the pulse wave signal into a frequency domain signal, and then the frequency domain signal is feature extracted to obtain at least one frequency domain feature value.
  48. 如权利要求47所述的分析方法，其特征在于，所述频域特征值包括频谱特征或功率谱特征中的至少一种。The analysis method according to claim 47, wherein the frequency domain feature value comprises at least one of a spectrum feature or a power spectrum feature.
  49. 如权利要求44所述的分析方法，其特征在于，所述根据所述过滤后的脉搏波信号获取表征脉搏波的波动节律的特征值，包括：The analysis method according to claim 44, wherein said obtaining the characteristic value representing the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal comprises:
    采用非线性动力学技术对脉搏波信号进行特征提取而得到至少一个非线性动力学特征值。Using nonlinear dynamics technology to perform feature extraction on the pulse wave signal to obtain at least one nonlinear dynamics feature value.
  50. 如权利要求49所述的分析方法，其特征在于，所述非线性动力学特征值包括熵值或复杂度。The analysis method according to claim 49, wherein the nonlinear dynamic characteristic value comprises entropy or complexity.
  51. 如权利要求45-50任一项所述的分析方法，其特征在于，所述根据所述过滤后的脉搏波信号获取表征脉搏波的波动节律的特征值，进一步包括：The analysis method according to any one of claims 45-50, wherein the obtaining the characteristic value representing the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal further comprises:
    所述至少一个特征值与对应的至少一个特征值阈值进行比较，并根据比较结果得到规 则性评价信息；和/或The at least one characteristic value is compared with the corresponding at least one characteristic value threshold, and regularity evaluation information is obtained according to the comparison result; and/or
    通过机器学习方法，将所述至少一个特征值作为输入，而得出所述规则性评价信息这一输出。Through a machine learning method, the at least one feature value is used as an input to obtain the output of the regularity evaluation information.
  52. 如权利要求45-50任一项所述的分析方法，其特征在于，所述根据所述过滤后的脉搏波信号获取表征脉搏波的波动节律的特征值，进一步包括：The analysis method according to any one of claims 45-50, wherein the obtaining the characteristic value representing the fluctuation rhythm of the pulse wave according to the filtered pulse wave signal further comprises:
    对一时间段或若干个周期的过滤后的脉搏波信号进行特征提取而得到至少两个特征值；Performing feature extraction on the filtered pulse wave signal for a period of time or several cycles to obtain at least two feature values;
    所述分析所述特征值得到规则性评价信息，包括：The analyzing the characteristic value to obtain regularity evaluation information includes:
    通过统计学分析方法和/或机器学习方法对所述至少两个特征值进行分析，而得到所述规则性评价信息。The at least two characteristic values are analyzed by a statistical analysis method and/or a machine learning method to obtain the regularity evaluation information.
  53. 如权利要求52所述的分析方法，其特征在于，所述通过统计学分析方法和/或机器学习方法对所述至少两个特征值进行分析，而得到所述规则性评价信息，包括：The analysis method according to claim 52, wherein the analysis of the at least two characteristic values by a statistical analysis method and/or a machine learning method to obtain the regularity evaluation information comprises:
    通过统计学分析方法对所述至少两个特征值进行分析，得到统计分析数据，以及根据所述统计分析数据得到所述规则性评价信息；和/或Analyze the at least two characteristic values by a statistical analysis method to obtain statistical analysis data, and obtain the regularity evaluation information according to the statistical analysis data; and/or
    通过机器学习方法，将所述至少两个特征值作为输入，而得出所述规则性评价信息这一输出。Through a machine learning method, the at least two feature values are used as inputs to obtain the output of the regularity evaluation information.
  54. 如权利要求44所述的分析方法，其特征在于，所述采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述过滤后的脉搏波信号进行特征提取而得到相应的至少一个特征值，包括：The analysis method according to claim 44, wherein the at least one analysis technology of time domain technology, frequency domain technology, and nonlinear dynamics technology is used to perform feature extraction on the filtered pulse wave signal. Obtain the corresponding at least one characteristic value, including:
    采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述过滤后的脉搏波信号进行特征提取而获取至少两类特征值，根据两类特征值以及每类特征值的权重值得出最终的至少一个特征值。At least one analysis technology of time domain technology, frequency domain technology, and nonlinear dynamics technology is used to perform feature extraction on the filtered pulse wave signal to obtain at least two types of feature values, according to the two types of feature values and each type of feature The weight of the value gives the final at least one characteristic value.
  55. 如权利要求54所述的分析方法，其特征在于，所述不同的至少两个特征值包括通过不同的分析技术分析出来的至少两个特征值和/或通过相同的分析技术分析出来的至少两个不同的特征值。The analysis method according to claim 54, wherein the at least two different characteristic values comprise at least two characteristic values analyzed by different analysis techniques and/or at least two characteristic values analyzed by the same analysis technique. Different characteristic values.
  56. 如权利要求45-50任一项所述的分析方法，其特征在于，在根据所述脉搏波信号获取表征脉搏波的波动节律的特征值之后，所述方法还包括：The analysis method according to any one of claims 45-50, characterized in that, after acquiring the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal, the method further comprises:
    将提取出的特征值转换为中间特征值；Convert the extracted feature value into an intermediate feature value;
    所述分析所述特征值得到规则性评价信息，包括：The analyzing the characteristic value to obtain regularity evaluation information includes:
    基于所述中间特征值进行分析得到规则性评价信息。Analyze based on the intermediate feature value to obtain regularity evaluation information.
  57. 如权利要求56所述的分析方法，其特征在于，所述中间特征值包括脉率值，所述将提取出的特征值转换为中间特征值，包括：The analysis method according to claim 56, wherein said intermediate characteristic value comprises a pulse rate value, and said converting the extracted characteristic value into an intermediate characteristic value comprises:
    将提取出的特征值转换为脉率值；Convert the extracted characteristic value to pulse rate value;
    所述基于所述中间特征值进行分析得到规则性评价信息，包括：The analyzing and obtaining regularity evaluation information based on the intermediate characteristic value includes:
    基于所述脉率值进行分析得到规则性评价信息。Analysis based on the pulse rate value to obtain regularity evaluation information.
  58. 如权利要求56所述的分析方法，其特征在于，所述中间特征值包括脉搏音特征值，所述将提取出的特征值转换为中间特征值，包括：The analysis method according to claim 56, wherein the intermediate characteristic value comprises a pulse sound characteristic value, and the converting the extracted characteristic value into the intermediate characteristic value comprises:
    将提取出的特征值转换为脉搏音特征值；Convert the extracted characteristic values into pulse sound characteristic values;
    所述基于所述中间特征值进行分析得到规则性评价信息，包括：The analyzing and obtaining regularity evaluation information based on the intermediate characteristic value includes:
    基于所述脉搏音特征值进行分析得到规则性评价信息。Based on the analysis of the pulse sound characteristic value, regularity evaluation information is obtained.
  59. 如权利要求58述的分析方法，其特征在于，所述将提取出的特征值转换为脉搏音特征值包括：The analysis method according to claim 58, wherein said converting the extracted characteristic value into a pulse sound characteristic value comprises:
    根据提取出的特征值确定脉搏的波峰或波谷的到达时刻，在波峰或波谷的到达时刻进行波峰或波谷标记；Determine the arrival time of the peak or trough of the pulse according to the extracted characteristic value, and mark the peak or trough at the arrival time of the peak or trough;
    根据波峰或波谷标记生成脉搏音特征值。Generate pulse sound characteristic values based on the peak or trough mark.
  60. 如权利要求58所述的分析方法，其特征在于，所述基于所述脉搏音特征值进行分析得到规则性评价信息包括：The analysis method according to claim 58, wherein the analysis based on the characteristic value of the pulse sound to obtain the regularity evaluation information comprises:
    对一时间段内或若干个周期的脉搏波信号的波峰或波谷进行标记而得到至少两个波峰标记或波谷标记，得到由至少两个波峰标记或至少两个波谷标记生成的至少两个脉搏音特征值；Mark the peaks or troughs of the pulse wave signal within a period of time or several cycles to obtain at least two peak marks or trough marks, and obtain at least two pulse sounds generated by at least two wave crest marks or at least two trough marks Eigenvalues;
    通过统计学分析和/或机器学习方式对所述至少两个脉搏音特征值进行分析，而得到所述规则性评价信息。The at least two pulse sound characteristic values are analyzed through statistical analysis and/or machine learning methods to obtain the regularity evaluation information.
  61. 如权利要求38所述的分析方法，其特征在于，所述方法还包括：The analysis method of claim 38, wherein the method further comprises:
    根据规则性评价信息的类型输出提示信息。Output prompt information according to the type of regular evaluation information.
  62. 如权利要求61所述的分析方法，其特征在于，所述提示信息包括脉搏波相关信息、可执行功能的相关信息以及所述规则性评价信息中的至少一种。The analysis method of claim 61, wherein the prompt information includes at least one of pulse wave related information, executable function related information, and the regularity evaluation information.
  63. 如权利要求61或62所述的分析方法，其特征在于，所述规则性评价信息的类型包括用于表示规则或不规则的脉搏搏动和/或心脏节律的评价结果。The analysis method according to claim 61 or 62, wherein the type of the regularity evaluation information includes an evaluation result used to indicate regular or irregular pulse beats and/or heart rhythms.
  64. 如权利要求62或63所述的分析方法，其特征在于，所述脉搏波相关信息包括脉搏波波形和/或节律量化参数值，所述可执行功能为所述规则性评价信息满足预设条件时下一步可执行的功能。The analysis method according to claim 62 or 63, wherein the pulse wave related information includes pulse wave waveform and/or rhythm quantization parameter value, and the executable function is that the regularity evaluation information satisfies a preset condition The function that can be executed in the next step.
  65. 如权利要求64所述的分析方法，其特征在于，所述节律量化参数值包括如下的至少之一：频域特征、非线性动力学特征、脉搏频率相关量、时域特征值、时域特征值的统计量、变异相关量以及预设阈值。The analysis method of claim 64, wherein the rhythm quantization parameter value includes at least one of the following: frequency domain characteristics, nonlinear dynamics characteristics, pulse frequency related quantities, time domain characteristic values, and time domain characteristics Value statistics, variation related quantities, and preset thresholds.
  66. 如权利要求65所述的分析方法，其特征在于，其中：The analysis method of claim 65, wherein:
    所述频域特征至少包括频谱特征、功率谱特征中的其中之一；和/或The frequency domain feature includes at least one of a spectrum feature and a power spectrum feature; and/or
    所述非线性动力学特征至少包括熵值、复杂度中的其中之一，其中，所述熵值至少包括信息熵、谱熵、近似熵、样本熵、模糊熵中的其中之一；和/或The nonlinear dynamic feature includes at least one of entropy and complexity, wherein the entropy includes at least one of information entropy, spectral entropy, approximate entropy, sample entropy, and fuzzy entropy; and/ or
    所述脉搏频率相关量包含脉率和/或脉率的统计分析量，其中，所述脉率的统计分析量至少包括最大脉率值和/或最小脉率值；和/或The pulse frequency-related quantity includes pulse rate and/or a statistical analysis quantity of pulse rate, wherein the statistical analysis quantity of pulse rate includes at least a maximum pulse rate value and/or a minimum pulse rate value; and/or
    所述时域特征值至少包括脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度中的其中之一；和/或The time domain characteristic value includes at least one of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, and pulse width; and/or
    所述时域特征值的统计量至少包括脉搏间隔的差值、脉搏幅度的差值、脉搏斜率的差值、脉搏面积的差值、脉搏包络的差值、脉搏宽度的差值、脉搏间隔的均值、脉搏幅度的均值、脉搏斜率的均值、脉搏面积的均值、脉搏包络的均值、脉搏宽度的均值、脉搏间隔的标准差、脉搏幅度的标准差、脉搏波斜率的标准差、脉搏面积的标准差、脉搏包络的标准差、脉搏宽度的标准差、脉搏间隔的加和、脉搏幅度的加和、脉搏斜率的加和、脉搏面积的加和、脉搏包络的加和、脉搏宽度的加和、脉搏间隔的比值、脉搏幅度的比值、脉搏斜率的比值、脉搏面积的比值、脉搏包络的比值、脉搏宽度的比值、脉搏间隔的差值的均值、脉搏幅度差值的均值、脉搏斜率差值的均值、脉搏面积差值的均值、脉搏包络差值的均值、脉搏宽度差值的均值、脉搏间隔的差值的积分、脉搏幅度差值的积分、脉搏斜率差值的积分、脉搏面积差值的积分、脉搏包络差值的积分、脉搏宽度差值的积分、最大脉率值、最小脉率值中的其中之一；和/或The statistics of the time-domain characteristic values include at least the difference in pulse interval, the difference in pulse amplitude, the difference in pulse slope, the difference in pulse area, the difference in pulse envelope, the difference in pulse width, and the pulse interval. Mean value of pulse amplitude, mean value of pulse slope, mean value of pulse area, mean value of pulse envelope, mean value of pulse width, standard deviation of pulse interval, standard deviation of pulse amplitude, standard deviation of pulse wave slope, pulse area Standard deviation of pulse envelope, standard deviation of pulse envelope, standard deviation of pulse width, sum of pulse intervals, sum of pulse amplitude, sum of pulse slope, sum of pulse area, sum of pulse envelope, pulse width The sum of the pulse interval ratio, the ratio of pulse amplitude, the ratio of pulse slope, the ratio of pulse area, the ratio of pulse envelope, the ratio of pulse width, the average value of pulse interval difference, the average value of pulse amplitude difference, Mean value of pulse slope difference, mean value of pulse area difference, mean value of pulse envelope difference, mean value of pulse width difference, integral of pulse interval difference, integral of pulse amplitude difference, integral of pulse slope difference , One of the integral of the pulse area difference, the integral of the pulse envelope difference, the integral of the pulse width difference, the maximum pulse rate value, and the minimum pulse rate value; and/or
    所述变异相关量至少包括变异度、变异次数中的其中之一。The variation related quantity includes at least one of the degree of variation and the number of variations.
  67. 如权利要求64所述的分析方法，其特征在于，所述节律量化参数值包括以下的至少一个：The analysis method of claim 64, wherein the rhythm quantization parameter value comprises at least one of the following:
    包括脉搏间隔、脉搏幅度、脉率值、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度在内的至少一个特征值；At least one characteristic value including pulse interval, pulse amplitude, pulse rate value, pulse area, pulse slope, pulse envelope, and pulse width;
    包括根据至少一个特征值统计分析出的最值、加和、积分、比值、差值、均值、标准差、最大间隔期、最小间隔期，脉搏变异度，变异次数、最大脉率值、最小脉率值中的至少之一在内的统计分析数据；以及Including the maximum, sum, integral, ratio, difference, mean, standard deviation, maximum interval, minimum interval, pulse variability, number of variations, maximum pulse rate, and minimum pulse statistically analyzed based on at least one characteristic value Statistical analysis data including at least one of the rate values; and
    包括变异度阈值、变异次数阈值在内的至少一个阈值。At least one threshold including the threshold of the degree of variation and the threshold of the number of mutations.
  68. 如权利要求61所述的分析方法，其特征在于，所述规则性评价信息至少通过以下形式之一的方式输出：文字、图案、光、声音、震动。The analysis method according to claim 61, wherein the regularity evaluation information is output in at least one of the following forms: text, pattern, light, sound, and vibration.
  69. 如权利要求38所述的分析方法，其特征在于，所述规则性评价信息的类型包括用于表示规则或不规则脉搏搏动和/或心脏节律的评价结果，所述方法还包括：The analysis method according to claim 38, wherein the type of the regularity evaluation information includes an evaluation result used to indicate regular or irregular pulse beats and/or heart rhythm, and the method further comprises:
    在所述规则性评价信息为不规则时，输出报警信息。When the regularity evaluation information is irregular, output warning information.
  70. 如权利要求69所述的分析方法，其特征在于，所述报警信息的表现形式包括文字、图案、光、声音、振动中的至少一种。The analysis method according to claim 69, wherein the manifestation of the alarm information includes at least one of text, pattern, light, sound, and vibration.
  71. 如权利要求69所述的分析方法，其特征在于，所述在所述规则性评价信息为不规则时，输出报警信息，包括：The analysis method according to claim 69, wherein said outputting alarm information when said regularity evaluation information is irregular comprises:
    根据获取的特征值确定报警档位，控制输出相应报警档位的报警信息，其中，所述报警档位包括至少两个档位。The alarm gear is determined according to the acquired characteristic value, and the alarm information of the corresponding alarm gear is controlled to output, wherein the alarm gear includes at least two gears.
  72. 如权利要求38所述的分析方法，其特征在于，所述第一传感器包括光电传感器、压力传感器、电磁传感器、声音传感器以及加速度传感器中的至少一种。The analysis method of claim 38, wherein the first sensor comprises at least one of a photoelectric sensor, a pressure sensor, an electromagnetic sensor, a sound sensor, and an acceleration sensor.
  73. 如权利要求38所述的分析方法，其特征在于，所述根据所述脉搏波信号以及所述其他生理体征信号得到规则性评价信息，包括：The analysis method according to claim 38, wherein said obtaining regularity evaluation information according to said pulse wave signal and said other physiological sign signals comprises:
    从所述其他生理体征信号中提取生理体征参数值；Extracting physiological sign parameter values from the other physiological sign signals;
    根据所述脉搏波信号获取表征脉搏波的波动节律的特征值；Acquiring, according to the pulse wave signal, a characteristic value representing the fluctuation rhythm of the pulse wave;
    分析所述特征值得到第一规则性评价信息以及分析所述生理体征参数值得到第二规则性评价信息；Analyzing the characteristic value to obtain first regularity evaluation information and analyzing the physiological sign parameter value to obtain second regularity evaluation information;
    根据所述第一规则性评价信息和第二规则性评价信息得出最终的规则性评价信息。The final regularity evaluation information is obtained according to the first regularity evaluation information and the second regularity evaluation information.
  74. 如权利要求73所述的分析方法，其特征在于，所述其他生理体征信号为心电信号，所述生理体征参数值至为心电参数值，所述根据所述第一规则性评价信息和第二规则性评价信息得出最终的规则性评价信息，包括：The analysis method of claim 73, wherein the other physiological sign signals are ECG signals, the physiological sign parameter values are up to the ECG parameter values, and the evaluation information according to the first regularity and The second regularity evaluation information yields the final regularity evaluation information, including:
    在所述第一规则性评价信息和第二规则性评价信息一致时，选择其中的任一个作为最终的规则性评价信息；以及When the first regularity evaluation information is consistent with the second regularity evaluation information, select any one of them as the final regularity evaluation information; and
    在所述第一规则性评价信息和第二规则性评价信息不一致时，选择所述第二规则性评价信息作为最终的规则性评价信息。When the first regularity evaluation information and the second regularity evaluation information are inconsistent, the second regularity evaluation information is selected as the final regularity evaluation information.
  75. 如权利要求73述的分析方法，其特征在于，所述方法还包括：The analysis method of claim 73, wherein the method further comprises:
    将所述根据用于分析得到第一规则性评价信息的特征值作为机器学习模型的输入以及将所述最终的规则性评价信息作为机器学习模型的输出并相互绑定，从而进一步完善机器学习模型。Use the characteristic value of the first regularity evaluation information obtained by analysis as the input of the machine learning model and the final regularity evaluation information as the output of the machine learning model and bind them to each other, thereby further improving the machine learning model .
  76. 一种监护设备，其特征在于，所述监护设备包括：A monitoring device, characterized in that, the monitoring device includes:
    传感器，用于获取测量对象的周期性生理信号；Sensors for obtaining periodic physiological signals of the measuring object;
    处理器，用于从所述周期性生理信号中提取与所述测量对象相关的脉搏波信号，根据所述脉搏波信号分析所述特征值得到规则性评价信息；A processor, configured to extract a pulse wave signal related to the measurement object from the periodic physiological signal, and analyze the characteristic value according to the pulse wave signal to obtain regularity evaluation information;
    其中，所述传感器为非心电传感器。Wherein, the sensor is a non-cardiac sensor.
  77. 如权利要求76所述的监护设备，其特征在于，所述处理器根据所述脉搏波信号分析得到规则性评价信息，包括：所述处理器根据所述脉搏波信号获取表征脉搏波的波动节律的特征值，以及分析所述特征值得到规则性评价信息。The monitoring device according to claim 76, wherein the processor obtains regularity evaluation information according to the pulse wave signal analysis, comprising: the processor obtains the fluctuation rhythm that characterizes the pulse wave according to the pulse wave signal And analyzing the characteristic values to obtain regularity evaluation information.
  78. 如权利要求77所述的监护设备，其特征在于，所述处理器根据所述脉搏波信号获 取表征脉搏波的波动节律的特征值，包括：所述处理器采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述脉搏波信号进行特征提取而得到相应的至少一个特征值。The monitoring device according to claim 77, wherein the processor acquires the characteristic value of the fluctuation rhythm of the pulse wave according to the pulse wave signal, comprising: the processor adopts time domain technology, frequency domain technology, and At least one analysis technology in the nonlinear dynamics technology performs feature extraction on the pulse wave signal to obtain at least one corresponding feature value.
  79. 如权利要求78所述的监护设备，其特征在于，所述处理器根据所述脉搏波信号获取表征脉搏波的波动节律的特征值，包括：所述处理器采用时域技术对脉搏波信号进行特征提取而得到至少一个时域特征值。The monitoring device according to claim 78, wherein the processor obtains the characteristic value of the fluctuation rhythm of the pulse wave according to the pulse wave signal, comprising: the processor uses the time domain technology to perform the pulse wave signal At least one time-domain feature value is obtained by feature extraction.
  80. 如权利要求79所述的监护设备，其特征在于，所述至少一个时域特征值包括脉搏间隔、脉搏幅度、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度中的至少一种。The monitoring device according to claim 79, wherein the at least one time domain characteristic value comprises at least one of pulse interval, pulse amplitude, pulse area, pulse slope, pulse envelope, and pulse width.
  81. 如权利要求77所述的监护设备，其特征在于，所述处理器根据所述脉搏波信号获取表征脉搏波的波动节律的特征值，包括：所述处理器采用频域技术将脉搏波信号转换为频域信号，然后对频域信号进行特征提取而得到至少一个频域特征值。The monitoring device according to claim 77, wherein the processor obtains the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal, comprising: the processor uses frequency domain technology to convert the pulse wave signal Is a frequency domain signal, and then feature extraction is performed on the frequency domain signal to obtain at least one frequency domain feature value.
  82. 如权利要求81所述的分析方法，其特征在于，所述频域特征值包括频谱特征、功率谱特征中的至少一种。The analysis method according to claim 81, wherein the frequency domain feature value includes at least one of a spectrum feature and a power spectrum feature.
  83. 如权利要求77所述的监护设备，其特征在于，所述处理器根据所述脉搏波信号获取表征脉搏波的波动节律的特征值，包括：所述处理器采用非线性动力学技术对脉搏波信号进行特征提取而得到至少一个非线性动力学特征值。The monitoring device according to claim 77, wherein the processor obtains the characteristic value of the fluctuation rhythm of the pulse wave according to the pulse wave signal, comprising: the processor uses a nonlinear dynamics technique to analyze the pulse wave The signal is subjected to feature extraction to obtain at least one nonlinear dynamics feature value.
  84. 如权利要求83所述的监护设备，其特征在于，所述非线性动力学特征值包括熵值或复杂度。The monitoring device according to claim 83, wherein the nonlinear dynamic characteristic value comprises an entropy value or complexity.
  85. 如权利要求76-84任一项所述的监护设备，其特征在于，所述分析所述特征值得到规则性评价信息，包括：The monitoring device according to any one of claims 76-84, wherein said analyzing said characteristic value to obtain regularity evaluation information comprises:
    将所述至少一个特征值与对应的至少一个特征值阈值进行比较，并根据比较结果得到规则性评价信息；和/或Compare the at least one characteristic value with the corresponding at least one characteristic value threshold, and obtain regularity evaluation information according to the comparison result; and/or
    通过机器学习方法，将所述至少一个特征值作为输入，而得出所述规则性评价信息这一输出。Through a machine learning method, the at least one feature value is used as an input to obtain the output of the regularity evaluation information.
  86. 如权利要求76-84任一项所述的监护设备，其特征在于，所述处理器进一步用于对一时间段或若干个周期的脉搏波信号进行特征提取而得到至少两个特征值；并通过统计学分析方法和/或机器学习方法对所述至少两个特征值进行分析，而得到所述规则性评价信息。The monitoring device according to any one of claims 76-84, wherein the processor is further configured to perform feature extraction on the pulse wave signal of a period of time or several cycles to obtain at least two feature values; and The at least two characteristic values are analyzed by a statistical analysis method and/or a machine learning method to obtain the regularity evaluation information.
  87. 如权利要求86所述的监护设备，其特征在于，所述处理器通过统计学分析方法和/或机器学习方法对所述至少两个特征值进行分析，而得到所述规则性评价信息，包括：The monitoring device according to claim 86, wherein the processor analyzes the at least two characteristic values by a statistical analysis method and/or a machine learning method to obtain the regularity evaluation information, including :
    所述处理器通过统计学分析方法对所述至少两个特征值进行分析，得到统计分析数据，以及根据所述统计分析数据得到所述规则性评价信息；和/或The processor analyzes the at least two characteristic values by a statistical analysis method to obtain statistical analysis data, and obtains the regularity evaluation information according to the statistical analysis data; and/or
    所述处理器通过机器学习方法，将所述至少两个特征值作为输入，而得出所述规则性评价信息这一输出。The processor uses the machine learning method to use the at least two feature values as input to obtain the output of the regularity evaluation information.
  88. 如权利要求87所述的监护设备，其特征在于，所述处理器具体用于采用时域技术、频域技术以及非线性动力学技术中的至少一种分析技术对所述脉搏波信号进行特征提取而获取至少两类特征值，根据两类特征值以及每类特征值的权重值得出最终的至少一个特征值。The monitoring device according to claim 87, wherein the processor is specifically configured to use at least one analysis technology of time domain technology, frequency domain technology, and nonlinear dynamics technology to characterize the pulse wave signal At least two types of feature values are obtained by extraction, and at least one final feature value is obtained according to the two types of feature values and the weight of each type of feature value.
  89. 如权利要求88所述的监护设备，其特征在于，所述至少两类特征值包括通过不同的分析技术分析出来的至少两个特征值和/或通过相同的分析技术分析出来的至少两个不同的特征值。The monitoring device according to claim 88, wherein the at least two types of characteristic values include at least two characteristic values analyzed by different analysis techniques and/or at least two different characteristic values analyzed by the same analysis technique. The characteristic value.
  90. 如权利要求77-89任一项所述的监护设备，其特征在于，所述处理器在根据所述脉搏波信号获取表征脉搏波的波动节律的特征值之后，还用于对脉搏波信号的质量进行评估而得到质量因子；以及根据所述质量因子确定是否采用或舍弃当前得到的脉搏波信号。The monitoring device according to any one of claims 77-89, wherein the processor is further configured to analyze the pulse wave signal after acquiring the characteristic value representing the fluctuation rhythm of the pulse wave signal according to the pulse wave signal. The quality is evaluated to obtain a quality factor; and it is determined whether to adopt or discard the currently obtained pulse wave signal according to the quality factor.
  91. 如权利要求90所述的监护设备，其特征在于，所述处理器还用于当根据所述质量因子确定当前得到的脉搏波信号可被采用时，根据所述获取出的特征值进行进一步分析，得到规则性评价信息。The monitoring device according to claim 90, wherein the processor is further configured to perform further analysis according to the acquired characteristic value when it is determined that the currently obtained pulse wave signal can be used according to the quality factor , Get regular evaluation information.
  92. 如权利要求90所述的监护设备，其特征在于，所述处理器还用于当根据所述质量因子确定当前得到的脉搏波信号可被采用时，根据所述质量因子以及所述获取出的特征值进行进一步分析，得到规则性评价信息。The monitoring device according to claim 90, wherein the processor is further configured to, when it is determined according to the quality factor that the currently obtained pulse wave signal can be used, according to the quality factor and the obtained The characteristic value is further analyzed to obtain regularity evaluation information.
  93. 如权利要求92所述的监护设备，其特征在于，所述处理器根据所述质量因子以及所述获取出的特征值进行进一步分析，得到规则性评价信息包括：The monitoring device according to claim 92, wherein the processor performs further analysis according to the quality factor and the acquired characteristic value, and obtaining regularity evaluation information comprises:
    所述处理器根据质量因子确定所述特征值的权重值以及所述质量因子的权重值，根据所述特征值的权重值以及所述质量因子的权重值对所述特征值和所述质量因子进行加权计算得到加权特征值，以及根据加权特征值进行分析，得到所述规则性评价信息。The processor determines the weight value of the characteristic value and the weight value of the quality factor according to the quality factor, and compares the characteristic value and the quality factor according to the weight value of the characteristic value and the weight value of the quality factor. Perform weighted calculation to obtain a weighted feature value, and perform analysis based on the weighted feature value to obtain the regularity evaluation information.
  94. 如权利要求92所述的监护设备，其特征在于，所述处理器根据所述质量因子以及所述获取出的特征值进行进一步分析，得到规则性评价信息包括：所述处理器将所述质量因子映射为所述获取出的特征值的质量因子系数；将所述特征值和质量因子系数计算得到校正特征值；以及根据所述校正特征值进行分析，得到所述规则性评价信息。The monitoring device according to claim 92, wherein the processor performs further analysis according to the quality factor and the acquired characteristic value to obtain regularity evaluation information comprising: the processor evaluates the quality The factor mapping is the quality factor coefficient of the acquired characteristic value; the corrected characteristic value is obtained by calculating the characteristic value and the quality factor coefficient; and the regularity evaluation information is obtained by analyzing the corrected characteristic value.
  95. 如权利要求94所述的分析方法，其特征在于，所述处理器将所述质量因子映射为所述获取出的特征值的质量因子系数，包括：所述处理器将所述质量因子与对应的质量因子阈值进行比较，根据比较结果将所述质量因子映射为所述获取出的特征值的质量因子系数。The analysis method according to claim 94, wherein the processor mapping the quality factor to the quality factor coefficient of the acquired characteristic value comprises: the processor compares the quality factor with the corresponding Compare the quality factor thresholds of the above, and map the quality factor to the acquired quality factor coefficient of the characteristic value according to the comparison result.
  96. 如权利要求76-84任一项所述的监护设备，其特征在于，所述处理器在根据所述脉搏波信号获取表征脉搏波的波动节律的特征值之后，还用于将提取出的特征值转换为中间特征值，并基于所述中间特征值进行分析得到规则性评价信息。The monitoring device according to any one of claims 76-84, wherein the processor is further configured to convert the extracted characteristics after acquiring the characteristic value representing the fluctuation rhythm of the pulse wave according to the pulse wave signal. The value is converted into an intermediate characteristic value, and analysis is performed based on the intermediate characteristic value to obtain regularity evaluation information.
  97. 如权利要求96所述的监护设备，其特征在于，所述中间特征值包括脉率值，所述处理器将提取出的特征值转换为中间特征值，包括：The monitoring device according to claim 96, wherein the intermediate characteristic value comprises a pulse rate value, and the processor converting the extracted characteristic value into the intermediate characteristic value comprises:
    所述处理器将提取出的特征值转换为脉率值；The processor converts the extracted characteristic value into a pulse rate value;
    所述处理器基于所述中间特征值进行分析得到规则性评价信息，包括：所述处理器基于所述脉率值进行分析得到规则性评价信息。The processor performing analysis based on the intermediate characteristic value to obtain regularity evaluation information includes: the processor performing analysis based on the pulse rate value to obtain the regularity evaluation information.
  98. 如权利要求97所述的监护设备，其特征在于，所述中间特征值包括脉搏音特征值，所述处理器具体用于将提取出的特征值转换为脉搏音特征值，并基于所述脉搏音特征值进行分析得到规则性评价信息。The monitoring device according to claim 97, wherein the intermediate characteristic value comprises a pulse sound characteristic value, and the processor is specifically configured to convert the extracted characteristic value into a pulse sound characteristic value, and based on the pulse sound The sound feature value is analyzed to obtain regularity evaluation information.
  99. 如权利要求98所述的监护设备，其特征在于，所述处理器将提取出的特征值转换为脉搏音特征值包括：The monitoring device of claim 98, wherein the processor converting the extracted characteristic value into a pulse sound characteristic value comprises:
    所述处理器根据提取出的特征值确定脉搏的波峰或波谷的到达时刻，在波峰或波谷的到达时刻进行波峰或波谷标记，并根据波峰或波谷标记生成脉搏音特征值。The processor determines the arrival time of the peak or trough of the pulse according to the extracted characteristic value, marks the peak or trough at the arrival time of the peak or trough, and generates the pulse sound characteristic value according to the peak or trough marker.
  100. 如权利要求99所述的监护设备，其特征在于，所述处理器基于所述脉搏音特征值进行分析得到规则性评价信息包括：The monitoring device according to claim 99, wherein the processor analyzes based on the pulse sound characteristic value to obtain the regularity evaluation information comprises:
    所述处理器对一时间段内或若干个周期的脉搏波信号的波峰或波谷进行标记而得到至少两个波峰标记或波谷标记，得到由至少两个波峰标记或至少俩你哥哥波谷标记生成的至少两个脉搏音特征值，以及通过统计学分析和/或机器学习方式对所述至少两个脉搏音特征值进行分析，而得到所述规则性评价信息。The processor marks the crests or troughs of the pulse wave signal within a period of time or several cycles to obtain at least two crest marks or trough marks, and obtain at least two crest marks or at least two trough marks generated by your brother At least two pulse sound characteristic values, and the at least two pulse sound characteristic values are analyzed through statistical analysis and/or machine learning methods to obtain the regularity evaluation information.
  101. 如权利要求76所述的监护设备，其特征在于，所述处理器还用于根据规则性评价信息的类型输出提示信息。The monitoring device according to claim 76, wherein the processor is further configured to output prompt information according to the type of the regularity evaluation information.
  102. 如权利要求101所述的监护设备，其特征在于，所述提示信息包括脉搏波相关信息、可执行功能的相关信息以及所述规则性评价信息中的至少一种；The monitoring device according to claim 101, wherein the prompt information includes at least one of pulse wave related information, executable function related information, and the regularity evaluation information;
    其中，所述规则性评价信息的类型包括用于表示规则或不规则的脉搏搏动和/或心脏节律的评价结果，所述脉搏波相关信息包括脉搏波波形和/或节律量化参数值，所述可执行功能为所述规则性评价信息满足预设条件时下一步可执行的功能。Wherein, the type of regularity evaluation information includes an evaluation result used to indicate regular or irregular pulse beats and/or heart rhythms, and the pulse wave-related information includes pulse wave waveforms and/or rhythm quantification parameter values, and The executable function is a function that can be executed in the next step when the regularity evaluation information meets the preset condition.
  103. 如权利要求102所述的监护设备，其特征在于，所述节律量化参数值包括如下的至少之一：The monitoring device according to claim 102, wherein the rhythm quantization parameter value comprises at least one of the following:
    包括脉搏间隔、脉搏幅度、脉率值、脉搏面积、脉搏斜率、脉搏包络、脉搏宽度在内的至少一个特征值；At least one characteristic value including pulse interval, pulse amplitude, pulse rate value, pulse area, pulse slope, pulse envelope, and pulse width;
    包括根据至少一个特征值统计分析出的最值、加和、积分、比值、差值、均值、标准差、最大间隔期、最小间隔期、脉搏变异度、变异次数、最大脉率值、最小脉率值中的至少之一在内的统计分析数据；以及Including the maximum value, sum, integral, ratio, difference, mean, standard deviation, maximum interval, minimum interval, pulse variability, number of variations, maximum pulse rate, and minimum pulse statistically analyzed based on at least one characteristic value. Statistical analysis data including at least one of the rate values; and
    包括变异度阈值、变异次数阈值在内的至少一个阈值。At least one threshold including the threshold of the degree of variation and the threshold of the number of mutations.
  104. 如权利要求100所述的监护设备，其特征在于，所述监护设备还包括显示屏，所述规则性评价信息至少通过以下形式之一的方式显示于所述显示屏上：文字、图案、光。The monitoring device according to claim 100, wherein the monitoring device further comprises a display screen, and the regularity evaluation information is displayed on the display screen in at least one of the following forms: text, pattern, light .
  105. 如权利要求101所述的监护设备，其特征在于，所述规则性评价信息的类型包括用于表示规则或不规则的脉搏搏动和/或心脏节律的评价结果，所述处理器还用于在所述规则性评价信息为不规则时，输出报警信息。The monitoring device according to claim 101, wherein the type of the regularity evaluation information includes an evaluation result used to indicate regular or irregular pulse and/or heart rhythm, and the processor is also used for When the regularity evaluation information is irregular, output alarm information.
  106. 如权利要求105所述的监护设备，其特征在于，所述报警信息的表现形式包括文字、图案、光、声音、振动中的至少一种。The monitoring device of claim 105, wherein the manifestation of the alarm information includes at least one of text, pattern, light, sound, and vibration.
  107. 如权利要求105所述的监护设备，其特征在于，所述处理器在所述规则性评价信息为不规则时，还根据获取的特征值确定报警档位，控制输出相应报警档位的报警信息，其中，所述报警档位包括至少两个档位。The monitoring device according to claim 105, wherein when the regularity evaluation information is irregular, the processor further determines the alarm gear according to the acquired characteristic value, and controls the output of the alarm information of the corresponding alarm gear , Wherein the alarm gear includes at least two gears.
  108. 如权利要求76所述的监护设备，其特征在于，所述传感器包括光电传感器、压力传感器、电磁传感器、声音传感器以及加速度传感器中的至少一种。The monitoring device according to claim 76, wherein the sensor comprises at least one of a photoelectric sensor, a pressure sensor, an electromagnetic sensor, a sound sensor, and an acceleration sensor.
  109. 如权利要求101所述的监护设备，其特征在于，所述处理器还用于根据所述规则性评价信息确定提示信息，所述监护设备为床边监护设备或移动监护设备，所述监护设备还包括通信单元，所述处理器还用于通过所述通信单元将所述提示信息发送给科室级工作站设备和/或院级数据中心/院级急救中心管理设备，通过所述科室级工作站设备和/或院级数据中心/院级急救中心管理设备输出所述提示信息。The monitoring device according to claim 101, wherein the processor is further configured to determine prompt information according to the regularity evaluation information, the monitoring device is a bedside monitoring device or a mobile monitoring device, and the monitoring device It also includes a communication unit, and the processor is further configured to send the prompt information to department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment through the communication unit, and through the department-level workstation equipment And/or the hospital-level data center/hospital-level emergency center management equipment outputs the prompt information.
  110. 如权利要求101所述的监护设备，其特征在于，所述监护设备为床边监护设备或移动监护设备，所述监护设备还包括通信单元，所述处理器还用于通过所述通信单元将周期性生理信号发送给科室级工作站设备和/或院级数据中心/院级急救中心管理设备，通过所述科室级工作站设备和/或院级数据中心/院级急救中心管理设备进行分析而得到所述规则性评价信息，所述监护装置还用于接收床边监护设备、科室级工作站设备和/或院级数据中心/院级急救中心管理设备发送的所述规则性评价信息，所述处理器并根据所述规则性评价信息的类型控制输出提示信息。The monitoring device of claim 101, wherein the monitoring device is a bedside monitoring device or a mobile monitoring device, the monitoring device further comprises a communication unit, and the processor is further configured to connect Periodic physiological signals are sent to department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment, and obtained through analysis of the department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment The regularity evaluation information, the monitoring device is also used to receive the regularity evaluation information sent by bedside monitoring equipment, department-level workstation equipment and/or hospital-level data center/hospital-level emergency center management equipment, and the processing And control the output of prompt information according to the type of the regularity evaluation information.
  111. 一种监护设备，其特征在于，所述监护设备包括：A monitoring device, characterized in that, the monitoring device includes:
    第一传感器，用于获取测量对象的周期性生理信号；The first sensor is used to obtain periodic physiological signals of the measurement object;
    至少一个第二传感器，用于获取人体的其他生理体征信号，其中，所述第一传感器和所述至少一个第二传感器均为非心电传感器；At least one second sensor for acquiring other physiological sign signals of the human body, wherein the first sensor and the at least one second sensor are both non-cardiac sensors;
    存储器，存储有程序指令；Memory, storing program instructions;
    处理器，用于调用所述程序指令执行如权利要求38-74任一项所述的方法。The processor is configured to call the program instructions to execute the method according to any one of claims 38-74.
  112. 如权利要求111所述的监护设备，其特征在于，所述第一传感器包括光电传感器、压力传感器、电磁传感器、声音传感器以及加速度传感器中的至少一种，所述至少一个第二传感器保护呼吸传感器。The monitoring device according to claim 111, wherein the first sensor comprises at least one of a photoelectric sensor, a pressure sensor, an electromagnetic sensor, a sound sensor, and an acceleration sensor, and the at least one second sensor protects the breathing sensor .
  113. 一种监护***，其特征在于，所述监护***包括如权利要求76-110中任一项所述的监护设备。A monitoring system, wherein the monitoring system comprises the monitoring device according to any one of claims 76-110.
  114. 一种计算机可读存储介质，其特征在于，所述计算机可读存储介质中存储有程序指令，所述程序指令用于供计算机调用后执行如权利要求1-75中任一项所述的方法。A computer-readable storage medium, wherein program instructions are stored in the computer-readable storage medium, and the program instructions are used by a computer to execute the method according to any one of claims 1-75 .
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