WO2022089289A1 - Signal processing method and apparatus - Google Patents

Signal processing method and apparatus Download PDF

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Publication number
WO2022089289A1
WO2022089289A1 PCT/CN2021/125199 CN2021125199W WO2022089289A1 WO 2022089289 A1 WO2022089289 A1 WO 2022089289A1 CN 2021125199 W CN2021125199 W CN 2021125199W WO 2022089289 A1 WO2022089289 A1 WO 2022089289A1
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time period
curve
ecg signal
signal
ppg
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PCT/CN2021/125199
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French (fr)
Chinese (zh)
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杨斌
熊浩
季映羽
王朔
陈文娟
刘翔宇
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华为技术有限公司
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, 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
    • A61B5/0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, 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
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, 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
    • A61B5/024Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02416Detecting, measuring or recording pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, 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
    • A61B5/024Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02438Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/08Detecting, measuring or recording devices for evaluating the respiratory organs
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1118Determining activity level
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • AHUMAN NECESSITIES
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    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
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    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • A61B5/349Detecting specific parameters of the electrocardiograph cycle
    • A61B5/352Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • A61B5/349Detecting specific parameters of the electrocardiograph cycle
    • A61B5/361Detecting fibrillation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802Sensor mounted on worn items
    • A61B5/681Wristwatch-type devices
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/08Feature extraction

Definitions

  • the embodiments of the present application relate to the field of terminal devices, and in particular, to a signal processing method and device.
  • ECG signal detection is an important reference factor for the diagnosis of arrhythmia.
  • PPG photoplethysmograph
  • ECG electrocardiogram
  • smart wearable devices on the market can screen for arrhythmias such as atrial fibrillation, premature beats, and sinus rhythm based on ECG signal detection.
  • arrhythmias such as atrial fibrillation, premature beats, and sinus rhythm based on ECG signal detection.
  • R-wave features in ECG signals to judge arrhythmia.
  • Embodiments of the present application provide a signal processing method and device to solve the problem of misjudging respiratory sinus arrhythmia as other diseases such as atrial fibrillation and premature beats.
  • an embodiment of the present application provides a signal processing method, the method comprising: acquiring an electrocardiogram ECG signal in a first time period and a photoplethysmography PPG signal in the first time period; Obtaining a first curve from the ECG signal in the first time period, the first curve is used to describe the density change of the interval RRI between the R wave and the R wave in the ECG signal in the first time period, A second curve is obtained based on the PPG signal in the first time period, and the second curve is an envelope of the PPG signal in the first time period; between the first curve and the second When the curves are correlated, it is determined that the ECG signal in the first time period has a correlation with the PPG signal in the first time period.
  • a correlation coefficient between the first curve and the second curve is calculated; when the correlation coefficient is greater than a preset value When the threshold value is set, it is determined that the first curve has a correlation with the second curve.
  • the method further includes: acquiring at least one first characteristic parameter based on the ECG signal in the first time period, the first characteristic parameter indicating that in the ECG signal in the first time period Statistical features of the RRI of the or a plurality of first characteristic parameters satisfy corresponding preset conditions, and the first curve and the second curve have a correlation, and it is determined that the ECG signal in the first time period is related to the ECG signal in the first time period The PPG signal within is correlated.
  • the first characteristic parameter to assist in determining whether the ECG signal in the first time period is correlated with the PPG signal in the first time period, so as to improve the relationship between the ECG signal in the first time period and the PPG signal in the first time period.
  • the judgment accuracy of whether the PPG signals in the time period are correlated.
  • the method further includes: acquiring at least one second characteristic parameter based on the PPG signal in the first time period, the second characteristic parameter indicating the PPG signal in the first time period. Corresponding breathing characteristics; when it is determined that the ECG signal in the first time period has a correlation with the PPG signal in the first time period, if any one or more of the at least one second characteristic parameter Each second characteristic parameter satisfies the corresponding preset condition, and the first curve and the second curve have a correlation, and it is determined that the ECG signal in the first time period is related to the ECG signal in the first time period. PPG signals are correlated.
  • the second characteristic parameter can be used to assist in determining whether the ECG signal in the first time period is correlated with the PPG signal in the first time period, so as to improve the relationship between the ECG signal in the first time period and the PPG signal in the first time period.
  • the judgment accuracy of whether the PPG signals in the time period are correlated.
  • the envelope is the envelope of the PPG peak in the PPG signal in the first time period, or the PPG valley in the PPG signal in the first time period an envelope of values, or an envelope of the average amplitude of the PPG signal over the first time period.
  • the envelope can have various realization forms.
  • the method further includes: acquiring an ECG signal in a second time period, wherein the second time period is before the first time period; based on the ECG in the second time period The signal determines at least one third characteristic parameter, the third characteristic parameter indicating the RRI statistical characteristic of the ECG signal in the second time period; in any one or more of the at least one third characteristic parameter When the three characteristic parameters satisfy corresponding preset conditions, it is determined to start acquiring the ECG signal within the first time period and the PPG signal within the first time period.
  • an embodiment of the present application provides a wearable device, the device comprising: an ECG signal detection module collects an ECG signal in a first time period; a PPG signal detection module collects in the first time period the photoplethysmography PPG signal; the processor obtains a first curve based on the ECG signal in the first time period, and the first curve is used to describe the R wave in the ECG signal in the first time period The density change of RRI with the interval between R waves, a second curve is obtained based on the PPG signal in the first time period, and the second curve is the envelope of the PPG signal in the first time period line; when the correlation coefficient between the first curve and the second curve is greater than a preset threshold, it is determined that the ECG signal in the first time period has a correlation with the PPG signal in the first time period .
  • the processor is further configured to: when it is determined that the first curve and the second curve have a correlation, calculate a correlation coefficient between the first curve and the second curve; When the correlation coefficient is greater than a preset threshold, it is determined that the first curve and the second curve have a correlation.
  • the device further includes a display module; the processor is further configured to determine that the ECG signal in the first time period has the same value as the PPG signal in the first time period When the correlation is detected, the detection result is displayed as respiratory sinus arrhythmia through the display module.
  • the processor is further configured to: acquire at least one first characteristic parameter based on the ECG signal in the first time period, the first characteristic parameter indicating that the first characteristic parameter is in the first time period Statistical features of the RRI in the ECG signal within the first time period; when determining that the ECG signal within the first time period has a correlation with the PPG signal within the first time period, if the at least one first feature Any one or more of the first characteristic parameters in the parameters satisfy corresponding preset conditions, and the first curve and the second curve are correlated, and it is determined that the ECG signal in the first time period is related to the The PPG signals in the first time period are correlated.
  • the processor is further configured to: acquire at least one second characteristic parameter based on the PPG signal in the first time period, the second characteristic parameter indicating that in the first time period Respiratory characteristics corresponding to the PPG signal in the first time period; when it is determined that the ECG signal in the first time period is correlated with the PPG signal in the first time period, if the at least one second characteristic parameter is Any one or more of the second characteristic parameters satisfies the corresponding preset conditions, and the first curve and the second curve have a correlation, it is determined that the ECG signal in the first time period is related to the ECG signal in the first time period.
  • the PPG signals over a period of time are correlated.
  • the envelope is the envelope of the PPG peak in the PPG signal in the first time period, or the PPG valley in the PPG signal in the first time period an envelope of values, or an envelope of the average amplitude of the PPG signal over the first time period.
  • the ECG signal detection module is further configured to acquire the ECG signal in a second time period, wherein the second time period is before the first time period; the processor is further used for: determining at least one third characteristic parameter based on the ECG signal in the second time period, the third characteristic parameter indicating an RRI statistical characteristic of the ECG signal in the second time period; When any one or more of the at least one third characteristic parameter satisfies the corresponding preset condition, control the ECG signal detection module to collect the ECG signal in the first time period and the The PPG signal detection module collects the PPG signal within the first time period.
  • the device further includes an acceleration sensor; the processor is further configured to: when the state value of the acceleration sensor is greater than a preset state value, control the ECG signal detection module to collect data in the first The ECG signal in a period of time and the PPG signal detection module collect the PPG signal in the first period of time.
  • an embodiment of the present application provides a communication apparatus, where the apparatus includes a module for executing the first aspect and any possible design of the first aspect.
  • an embodiment of the present application provides a communication device, including a processor and an interface circuit, where the interface circuit is configured to receive signals from other communication devices other than the communication device and transmit to the processor or transfer signals to the processor.
  • the signal from the processor is sent to other communication devices than the communication device, and the processor is used to implement the first aspect and any one of the possible designs of the first aspect through logic circuits or executing code instructions.
  • an embodiment of the present application provides a computer-readable storage medium, where a computer program or instruction is stored in the storage medium, and when the computer program or instruction is executed by a communication device, the first aspect and the first aspect are implemented any of the possible designs.
  • embodiments of the present application provide a computer program product including a program, which, when executed on a communication device, enables the communication device to execute any one of the first aspects and any possible designs of the first aspect.
  • FIG. 1 is a schematic diagram of an ECG signal when a user breathes smoothly according to an embodiment of the present application
  • FIG. 2 is a schematic diagram of an ECG signal provided by an embodiment of the present application when the user is breathing rapidly;
  • FIG. 3 is a schematic structural diagram of a wearable device provided by an embodiment of the present application.
  • FIG. 5 is a schematic diagram of a PPG signal provided by an embodiment of the present application.
  • FIG. 6 is a specific flowchart of the wearable device performing ECG signal and PPG signal detection provided by an embodiment of the present application.
  • the signal quality of the ECG is closely related to the user's state. For example, whether the wrist moves during the ECG signal detection process, whether the skin and the electrodes are in good contact, etc., may cause the ECG signal Poor quality or unavailable. Therefore, in the process of ECG signal detection, the smart wearable device can rely on its own acceleration sensor and contact detection sensor to determine the user's wrist motion state and the contact state between the skin and the electrode, and display a prompt on the screen of the smart wearable device to inform the user. to be reminded.
  • Option 1 Obtain the P wave signal in different lead signals from the 12-lead ECG signal through a professional electrocardiograph.
  • users can be distinguished as respiratory sinus arrhythmia, atrial fibrillation, premature beats, etc. other illnesses.
  • the ECG signal obtained by the current smart wearable device is a single-lead ECG signal, which does not have the measurement mechanism of a professional electrocardiograph.
  • Option 2 Use a breathing sensor at the mouth and nose to detect breathing, and cooperate with the single-lead ECG signal obtained by wrist detection to determine the user's breathing state during the ECG signal detection process, and further combine the R-wave characteristics in the ECG signal to distinguish users.
  • a breathing sensor at the mouth and nose to detect breathing, and cooperate with the single-lead ECG signal obtained by wrist detection to determine the user's breathing state during the ECG signal detection process, and further combine the R-wave characteristics in the ECG signal to distinguish users.
  • a breathing sensor at the mouth and nose to detect breathing, and cooperate with the single-lead ECG signal obtained by wrist detection to determine the user's breathing state during the ECG signal detection process, and further combine the R-wave characteristics in the ECG signal to distinguish users.
  • a new sensor needs to be added at the mouth and nose, which is not conducive to the user to achieve non-sensing detection.
  • the ECG signal When the user breathes smoothly, the ECG signal is shown in Figure 1, the interval between R waves and R waves (R-R interval, RRI) is approximately uniform, and the statistical characteristics of RRI (for example, RRI mean and/or RRI variance) are in a In a relatively stable state, the statistical characteristics of the time domain do not change significantly. R-wave amplitude changes are also relatively small.
  • RRI for example, RRI mean and/or RRI variance
  • the ECG signal is affected by the change in the vagus nerve tension when the user is breathing, and the RRI and R wave amplitudes of the ECG signal change with the breathing rhythm, as shown in Figure 2.
  • the RRI interval decreases, and when the user exhales, the RRI interval increases. The statistical characteristics of RRI changed significantly.
  • the embodiments of the present application are applied to a wearable device, which may specifically be a watch, a wristband, or other wearable devices.
  • the wearable device 300 includes an ECG signal detection module 301, a PPG signal detection module 302 and a processor 303, as shown in FIG. 3 .
  • the above-mentioned wearable device 300 further includes a display module 304, an acceleration sensor 305, a memory 306, and the like.
  • the ECG signal detection module 301 is used for collecting ECG signals.
  • the PPG signal detection module 302 is used to collect PPG signals.
  • the processor 303 may be a chip, such as a thread field-programmable gate array (FPGA), an application-specific integrated circuit (ASIC), or a combination thereof.
  • Memory 306 may be used to store computer executable program code including instructions.
  • the processor 303 executes various functional applications and data processing of the wearable device 300 by executing the instructions stored in the memory 306 .
  • memory 306 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, universal flash storage (UFS), and the like.
  • connection medium between the above components is not limited in the embodiments of the present application.
  • the ECG signal detection module 301 , the PPG signal detection module 302 , the processor 303 , the display module 304 , the acceleration sensor 305 and the memory 306 are connected through a bus 307 in FIG. 3 , and the bus is shown in FIG. 3 .
  • the bus is shown in FIG. 3 .
  • the bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of presentation, only one thick line is used in FIG. 3, but it does not mean that there is only one bus or one type of bus.
  • the embodiments of the present application provide a signal processing method for judging whether the ECG signal is affected by breathing, so as to effectively distinguish respiratory sinus arrhythmia, atrial fibrillation, premature beats and other diseases.
  • the specific process of signal processing will be described below with the communication device as the main body of execution.
  • the communication device may be a wearable device or a chip in a wearable device, or other devices that collect data reported by the wearable device, such as a mobile phone or tablet computer or server, etc.
  • the method includes:
  • Step 400 The communication apparatus acquires the ECG signal in the first time period and the PPG signal in the first time period.
  • start time of the ECG signal obtained by the communication device is the same as the start time of the PPG signal obtained by the communication device
  • the end time of the ECG signal obtained by the communication device is the same as the end time of the PPG signal obtained by the communication device.
  • Example 1 Before acquiring the electrocardiogram ECG signal in the first time period and the photoplethysmography PPG signal in the first time period, that is, before the first time period, the communication device acquires the ECG in the second time period Signal. Exemplarily, the communication device does not acquire the PPG signal during the second time period, and only acquires the ECG signal during the second time period. Further, the communication device determines at least one third characteristic parameter based on the ECG signal in the second time period, the third characteristic parameter indicating an RRI statistical characteristic of the ECG signal in the second time period.
  • the characteristic parameters here may refer to RRI mean, RRI variance, pNN50, skewness, etc.
  • pNN50 refers to the percentage of the number of RRIs exceeding 50ms in the total number of sinus beats
  • skewness refers to the effective RRI distribution. The skewness compared to the normal distribution.
  • the communication device determines, according to the at least one third characteristic parameter, that when any one or more of the at least one third characteristic parameter satisfies a corresponding preset condition, and determines to start acquiring the ECG signal and PPG signal during the first time period.
  • the communication apparatus determines that the RRI mean value is greater than the first threshold, and/or the RRI variance is greater than the second threshold, and then determines to start acquiring the ECG signal within the first time period and the PPG signal within the first time period.
  • the above situation shows that the ECG signal for the second time period may not be able to effectively distinguish respiratory sinus arrhythmia or other conditions such as atrial fibrillation and premature beats. Therefore, it is necessary to re-detect the ECG signal, that is, add the detection of the PPG signal to achieve effective differentiation. Respiratory sinus arrhythmia or other conditions such as atrial fibrillation and premature beats.
  • the ECG signal of 10s is acquired, and it is determined that the variation range of the mean RRI value corresponding to the ECG signal of 10s exceeds the first preset range, and the variation range of the RRI variance exceeds the second preset range, then the acquisition of the ECG signal of 20s is started. and 20s of PPG signal.
  • Example 2 Before acquiring the electrocardiogram ECG signal in the first time period and the photoplethysmography PPG signal in the first time period, that is, before the first time period, if the state value of the acceleration sensor is greater than the preset state value , the communication device determines to initiate acquisition of the ECG signal within the first time period and the PPG signal within the first time period.
  • the state value of the acceleration sensor is greater than the preset state value, indicating that the user may be in a state of exercise, so the breathing may be relatively short, and the ECG signal is likely to be affected by breathing. Qi or risk of other conditions such as atrial fibrillation and premature beats.
  • the communication device may also trigger the acquisition of the ECG signal in the first time period and the PPG signal in the first time period by using other triggering methods, which is not limited in this embodiment of the present application.
  • the communication device may also actively acquire the ECG signal and the PPG signal simultaneously without triggering conditions.
  • Step 410 The communication device obtains a first curve based on the ECG signal in the first time period, and obtains a second curve based on the PPG signal in the first time period, where the first curve is used to describe the ECG signal in the first time period
  • the density variation of RRI in , the second curve is the envelope of the PPG signal in the first time period.
  • the first curve is shown in FIG. 2 , and the curve reflects the change of RRI density.
  • the communication device obtains the curve shown in FIG. 2 by analyzing the ECG signal.
  • the communication apparatus may calculate the distribution characteristic of the RRI interval change according to the ECG signal in the first time period, so as to obtain the first curve reflecting the RRI density change.
  • the second curve may be the envelope of the PPG peak value in the PPG signal in the first time period, or the envelope of the PPG valley value in the PPG signal in the first time period, or the envelope curve of the PPG valley value in the PPG signal in the first time period.
  • Curve 1, curve 2 and curve 3 in FIG. 5 are respectively the envelope of the PPG valley, the envelope of the average amplitude and the envelope of the PPG peak.
  • the communication device can obtain any curve as shown in FIG. 5 by analyzing the PPG signal.
  • the communication apparatus may calculate the PPG peak value variation characteristic according to the PPG signal in the first time period, and may draw the second curve according to the PPG peak value variation characteristic.
  • the communication device may obtain at least one first characteristic parameter according to the ECG signal in the first time period, the first characteristic parameter indicating a statistical characteristic of the RRI in the ECG signal in the first time period.
  • the communication apparatus may further calculate an RRI mean, RRI variance, pNN50, skewness, etc. according to the ECG signal in the first time period.
  • the communication device may also determine other parameters according to the ECG signal in the first time period, which is not limited in this embodiment of the present application.
  • the communication device may also acquire at least one second characteristic parameter according to the PPG signal in the first time period, where the second characteristic parameter indicates a breathing characteristic corresponding to the PPG signal in the first time period.
  • the communication apparatus may further calculate the peak value variation characteristic of the PPG according to the PPG signal in the first time period, and the second curve may be drawn according to the peak value variation characteristic of the PPG.
  • the communication device obtains characteristics such as degree of respiration, position of beginning and end of respiration, and respiration period by analyzing the time domain analysis and frequency domain analysis of the waveform of the second curve.
  • the communication device may also determine other parameters according to the PPG signal in the first time period, which is not limited in this embodiment of the present application.
  • Step 420 When the first curve and the second curve have a correlation, the communication device determines that the ECG signal in the first time period has a correlation with the PPG signal in the first time period.
  • the communication device determines whether the first curve and the second curve are correlated. It is understood that the following examples are not limited to the embodiments of the present application. Those skilled in the art can also determine the correlation between the first curve and the second curve in other ways.
  • the communication device may determine the characteristics of the first curve and the characteristics of the second curve.
  • the characteristics of the first curve may include the period of the first curve, the peak position of the first curve and/or the trough position of the first curve
  • the characteristics of the second curve may include the period of the second curve, the peak position of the second curve and/or the trough position of the second curve.
  • the communication device may determine whether the first curve and the second curve are correlated through the characteristics of the first curve and the characteristics of the second curve.
  • the communication device It is determined that the first curve has a correlation with the second curve, and it is further determined that the ECG signal in the first time period has a correlation with the PPG signal in the first time period.
  • the communication device may calculate the difference between the period of the first curve and the period of the first curve, and calculate the difference according to the predetermined value within which the difference falls. Set the range to determine the correlation coefficient between the period of the first curve and the period of the first curve. For example, if the difference is 0-0.1s, the correlation coefficient is 1; Similarly, the communication device may also determine the correlation coefficient between the peak position of the first curve and the peak position of the second curve, and/or the correlation coefficient between the peak position of the first curve and the peak position of the second curve.
  • the communication device may assign corresponding weights to the above three correlation coefficients, and obtain the result of the weighted sum operation as the correlation coefficient between the first curve and the second curve. Further, the communication device determines whether the correlation coefficient between the first curve and the second curve is greater than a preset threshold. When the correlation coefficient between the first curve and the second curve is greater than the preset threshold, it is determined that the ECG signal in the first time period has a correlation with the PPG signal in the first time period, that is, the ECG signal is affected by breathing, and the current detection The result was respiratory sinus arrhythmia.
  • the communication device uses a preset ECG detection model to obtain a corresponding detection result based on the ECG signal in the first time period, for example, the current detection result is atrial fibrillation or premature beat.
  • the communication device may also combine the first characteristic parameter and the second characteristic parameter to determine the difference between the ECG signal in the first time period and the ECG signal in the first time period. Whether the PPG signals in a time period are correlated.
  • any one or more of the at least one first characteristic parameter satisfies a corresponding preset condition, and the correlation coefficient between the first curve and the second curve is greater than a preset threshold, it is determined that the The ECG signal in a time period has a correlation with the PPG signal in the first time period.
  • the mean RRI value is greater than the first threshold and/or the RRI variance is greater than the second threshold, and the correlation coefficient between the first curve and the second curve is greater than the preset threshold, it is determined that the ECG signal in the first time period is different from the ECG signal in the first time period.
  • the PPG signals over a period of time are correlated.
  • any one or more of the at least one second characteristic parameter satisfies a corresponding preset condition, and the correlation coefficient between the first curve and the second curve is greater than a preset threshold, it is determined that the The ECG signal in a time period has a correlation with the PPG signal in the first time period.
  • the breathing amplitude is greater than the third threshold and/or the breathing frequency is greater than the fourth threshold, and the correlation coefficient between the first curve and the second curve is greater than the preset threshold, it is determined that the ECG signal in the first time period is the same as that in the first time period.
  • the PPG signals over a period of time are correlated.
  • any one or more of the at least one first characteristic parameter satisfies a corresponding preset condition
  • any one or more of the at least one second characteristic parameter satisfies According to the corresponding preset condition, and the correlation coefficient between the first curve and the second curve is greater than the preset threshold, it is determined that the ECG signal in the first time period has a correlation with the PPG signal in the first time period.
  • the ECG signal in the first time period and the PPG signal in the first time period are improved.
  • the accuracy of judging whether the PPG signals in a period of time are correlated.
  • the communication device may also combine other parameters to jointly determine whether the ECG signal in the first time period is correlated with the PPG signal in the first time period, which is not limited in this embodiment of the present application.
  • an embodiment of the present application further provides a wearable device.
  • the wearable device 300 includes an ECG signal detection module 301 , a PPG signal detection module 302 and a processor 303 , as shown in FIG. 3 .
  • the above-mentioned wearable device 300 further includes a display module 304, an acceleration sensor 305, a memory 306, and the like.
  • Memory 306 may be used to store computer executable program code including instructions.
  • the processor 303 executes various functional applications and data processing of the wearable device 300 by executing the instructions stored in the memory 306 .
  • the ECG signal detection module 301 collects the ECG signal of the electrocardiogram in the first time period.
  • the PPG signal detection module 302 collects the photoplethysmographic PPG signal in the first time period.
  • the processor 303 obtains the first curve based on the ECG signal in the first time period, obtains the second curve based on the PPG signal in the first time period, and when the first curve and the second curve have a correlation, determine that the first curve is in the first curve.
  • the ECG signal in the time period has a correlation with the PPG signal in the first time period.
  • the first curve is used to describe the density change of RRI in the ECG signal in the first time period
  • the second curve is the envelope of the PPG signal in the first time period.
  • the processor 303 is further configured to: when it is determined that the first curve and the second curve have a correlation, calculate a correlation coefficient between the first curve and the second curve; when the correlation coefficient is greater than a preset threshold, determine the first curve and the second curve are relevant.
  • the above-mentioned wearable device further includes a display module 304.
  • the display module 304 displays The test result was respiratory sinus arrhythmia. Further, the display module 304 can also prompt the user whether to re-collect signals, so as to further eliminate the possibility of abnormal heart rate of the current user through re-detection.
  • the processor 303 is further configured to: obtain at least one first characteristic parameter based on the ECG signal in the first time period, the first characteristic parameter indicating the statistics of RRI in the ECG signal in the first time period If any one or more of the at least one first characteristic parameter satisfies the corresponding preset condition, and the correlation coefficient between the first curve and the second curve is greater than the preset threshold, it is determined that the first time period is The ECG signal within the period has a correlation with the PPG signal within the first time period.
  • the processor 303 is further configured to: acquire at least one second characteristic parameter based on the PPG signal in the first time period, where the second characteristic parameter indicates a breathing characteristic corresponding to the PPG signal in the first time period ; If any one or more of the at least one second characteristic parameter satisfies the corresponding preset condition, and the correlation coefficient between the first curve and the second curve is greater than the preset threshold, it is determined that the The ECG signal is correlated with the PPG signal during the first time period.
  • the ECG signal detection module 301 is further configured to acquire an ECG signal within a second time period, wherein the second time period is before the first time period.
  • the processor 303 is further configured to: determine at least one third characteristic parameter based on the ECG signal in the second time period, the third characteristic parameter indicating an RRI statistical characteristic of the ECG signal in the second time period; When any one or more of the third characteristic parameters in the characteristic parameters meet the corresponding preset conditions, the ECG signal detection module 301 is controlled to collect the ECG signal within the first time period and the PPG signal detection module 302 is collected at the first time PPG signal within the segment.
  • the above-mentioned wearable device further includes an acceleration sensor 305 .
  • the processor is further configured to: control the ECG signal detection module 301 to collect the ECG signal in the first time period and the PPG signal detection module 302 to collect the ECG signal in the first time period when the state value of the acceleration sensor 305 is greater than the preset state value within the PPG signal.
  • Step 1 start the ECG signal detection module, and simultaneously start the PPG signal detection module.
  • Step 2 The ECG signal detection module collects the ECG signal in the first time period, and the PPG signal detection module collects the PPG signal in the first time period.
  • the length of the first time period is 20S ⁇ 30S.
  • Step 3 The processor calculates at least one first characteristic parameter based on the collected ECG signal, and obtains a first curve.
  • the processor calculates the first characteristic parameters such as the RRI mean value, the RRI variance, the RRI density change period PPN50 and the skewness.
  • Step 4 The processor calculates at least one second characteristic parameter based on the collected PPG signal, and obtains a second curve.
  • the processor analyzes the PPG valley value variation feature based on the PPG signal, and through the PPG valley value variation feature, a second curve can be obtained, and further by analyzing the time domain analysis and frequency domain analysis of the waveform of the second curve, the degree of respiration can be obtained. , the position of the beginning and end of the breath, and the second characteristic parameters of the breathing cycle.
  • Step 5 The processor determines whether any one or more first characteristic parameters satisfy the corresponding preset condition, or any one or more second characteristic parameters satisfy the corresponding preset condition. If there is no one or more first characteristic parameters that satisfy the corresponding preset conditions, step 6 is performed. If there is no one or more second characteristic parameters that satisfy the corresponding preset conditions, step 6 is performed. If any one or more first characteristic parameters satisfy the corresponding preset condition, or any one or more second characteristic parameters satisfy the corresponding preset condition, step 7 is performed.
  • Step 6 The processor determines that the detection result is non-respiratory sinus arrhythmia.
  • the processor uses a preset ECG detection model to obtain corresponding detection results based on the ECG signal, and displays the detection results through the display module.
  • the display module displays the heart rate detection result corresponding to the ECG signal, for example, 70 beats/min.
  • Step 7 The processor calculates the correlation coefficient between the first curve and the second curve, and the processor determines whether the correlation coefficient between the first curve and the second curve is greater than a preset threshold, if the correlation coefficient between the first curve and the second curve is less than or equal to If the threshold is preset, go to step 8. If the correlation coefficient between the first curve and the second curve is greater than the preset threshold, step 9 is performed.
  • Step 8 When the processor determines that the correlation coefficient between the first curve and the second curve is less than or equal to the preset threshold, the processor determines that the detection result is non-respiratory sinus arrhythmia.
  • the processor uses a preset ECG detection model to obtain corresponding detection results based on the ECG signal, and displays the detection results through the display module.
  • the display module displays the heart rate detection result corresponding to the ECG signal, for example, atrial fibrillation or premature beat.
  • Step 9 When the processor determines that the correlation coefficient between the first curve and the second curve is greater than the preset threshold, the processor displays through the display module that the detection result is respiratory sinus arrhythmia.
  • the processor can also remind the user to keep breathing steady through the display module, and prompt the user whether to re-test.
  • the wearable device can detect respiratory sinus arrhythmia without hardware improvement, and can effectively distinguish respiratory sinus arrhythmia or other diseases such as atrial fibrillation and premature beats.
  • the method steps in the embodiments of the present application may be implemented in a hardware manner, or may be implemented in a manner in which a processor executes software instructions.
  • Software instructions can be composed of corresponding software modules, and software modules can be stored in random access memory (Random Access Memory, RAM), flash memory, read-only memory (Read-Only Memory, ROM), programmable read-only memory (Programmable ROM) , PROM), Erasable Programmable Read-Only Memory (Erasable PROM, EPROM), Electrically Erasable Programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory (Electrically EPROM, EEPROM), registers, hard disks, removable hard disks, CD-ROMs or known in the art in any other form of storage medium.
  • RAM Random Access Memory
  • ROM read-only memory
  • PROM programmable read-only memory
  • PROM Erasable Programmable Read-Only Memory
  • EPROM Electrically Erasable Programmable Read-Only Memory
  • An exemplary storage medium is coupled to the processor, such that the processor can read information from, and write information to, the storage medium.
  • the storage medium can also be an integral part of the processor.
  • the processor and storage medium may reside in an ASIC.
  • the ASIC may be located in a network device or in an end device.
  • the processor and the storage medium may also exist in the network device or the terminal device as discrete components.
  • the above-mentioned embodiments it may be implemented in whole or in part by software, hardware, firmware or any combination thereof.
  • software it can be implemented in whole or in part in the form of a computer program product.
  • the computer program product includes one or more computer programs or instructions.
  • the processes or functions described in the embodiments of the present application are executed in whole or in part.
  • the computer may be a general purpose computer, a special purpose computer, a computer network, network equipment, user equipment, or other programmable apparatus.
  • the computer program or instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer program or instructions may be downloaded from a website site, computer, A server or data center transmits by wire or wireless to another website site, computer, server or data center.
  • the computer-readable storage medium may be any available medium that can be accessed by a computer, or a data storage device such as a server, data center, or the like that integrates one or more available media.
  • the usable medium can be a magnetic medium, such as a floppy disk, a hard disk, and a magnetic tape; it can also be an optical medium, such as a digital video disc (DVD); it can also be a semiconductor medium, such as a solid state drive (solid state drive). , SSD).
  • a magnetic medium such as a floppy disk, a hard disk, and a magnetic tape
  • an optical medium such as a digital video disc (DVD)
  • DVD digital video disc
  • it can also be a semiconductor medium, such as a solid state drive (solid state drive). , SSD).
  • “at least one” means one or more, and “plurality” means two or more.
  • “And/or”, which describes the relationship of the associated objects, indicates that there can be three kinds of relationships, for example, A and/or B, it can indicate that A exists alone, A and B exist at the same time, and B exists alone, where A, B can be singular or plural.
  • the character “/” generally indicates that the related objects are a kind of "or” relationship; in the formula of this application, the character "/” indicates that the related objects are a kind of "division” Relationship.

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Abstract

A signal processing method and apparatus. The signal processing method comprises: acquiring ECG signals within a first time period and PPG signals within the first time period (400); acquiring a first curve on the basis of the ECG signals acquired within the first time period, and acquiring a second curve on the basis of the PPG signals acquired within the first time period, wherein the first curve is used to describe changes in the density of RRIs in the ECG signals within the first time period, and the second curve is an envelope of the PPG signals within the first time period (410); and when a correlation coefficient between the first curve and the second curve is greater than a preset threshold, determining that the ECG signals within the first time period correlate to the PPG signals within the first time period (420). The signal processing method can be used to determine whether or not ECG signals are affected by breathing, thereby effectively distinguishing respiratory sinus arrhythmia from other diseases such as atrial fibrillation and premature heart beats.

Description

一种信号处理方法及设备A signal processing method and device
相关申请的交叉引用CROSS-REFERENCE TO RELATED APPLICATIONS
本申请要求在2020年10月30日提交中国专利局、申请号为202011193815.8、申请名称为“一种信号处理方法及设备”的中国专利申请的优先权,其全部内容通过引用结合在本申请中。This application claims the priority of the Chinese patent application with the application number 202011193815.8 and the application title "A Signal Processing Method and Device" filed with the China Patent Office on October 30, 2020, the entire contents of which are incorporated into this application by reference .
技术领域technical field
本申请实施例涉及终端设备领域,尤其涉及一种信号处理方法及设备。The embodiments of the present application relate to the field of terminal devices, and in particular, to a signal processing method and device.
背景技术Background technique
随着智能穿戴设备的发展,智能腕带、智能手表等穿戴式设备逐渐集成了光电容积脉搏波(PhotoPlethysmoGraphy,PPG)信号检测、以及心电图(ElectroCardioGram,ECG)信号检测等健康检测功能,为用户提供健康信息分析。其中,ECG信号检测是诊断心律失常的重要参考因素。目前,市面上的智能穿戴设备可以实现基于ECG信号检测进行房颤、早搏、窦性心律等心律失常的筛查。具体的,由于硬件限制,当前筛查且仅依赖ECG信号中的R波特征进行心律失常判断。With the development of smart wearable devices, wearable devices such as smart wristbands and smart watches have gradually integrated photoplethysmograph (PPG) signal detection and electrocardiogram (ElectroCardioGram, ECG) signal detection and other health detection functions to provide users with Health information analysis. Among them, ECG signal detection is an important reference factor for the diagnosis of arrhythmia. Currently, smart wearable devices on the market can screen for arrhythmias such as atrial fibrillation, premature beats, and sinus rhythm based on ECG signal detection. Specifically, due to hardware limitations, currently screening and only relying on R-wave features in ECG signals to judge arrhythmia.
此外,随着呼气的变化,心跳节律会产生相关的变化。呼吸程度越深,心跳频率越快,越容易形成呼吸性窦性心律不齐。而呼吸性窦性心律不齐的ECG信号的R波变化特征与房颤、早搏的R波变化特征相似。因此,智能可穿戴设备可能会将呼吸性窦性心律不齐误判为房颤、早搏等其他病症。In addition, as exhalation changes, there are associated changes in heartbeat rhythm. The deeper the breathing, the faster the heart rate, and the easier it is to develop respiratory sinus arrhythmia. The R wave characteristics of ECG signal in respiratory sinus arrhythmia are similar to those of atrial fibrillation and premature beats. Therefore, smart wearable devices may misjudge respiratory sinus arrhythmia as other conditions such as atrial fibrillation and premature beats.
发明内容SUMMARY OF THE INVENTION
本申请实施例提供一种信号处理方法及设备,用以解决将呼吸性窦性心律不齐误判为房颤、早搏等其他病症的问题。Embodiments of the present application provide a signal processing method and device to solve the problem of misjudging respiratory sinus arrhythmia as other diseases such as atrial fibrillation and premature beats.
第一方面,本申请实施例提供一种信号处理方法,该方法包括:获取在第一时间段内的心电图ECG信号和在所述第一时间段内的光电容积脉搏波PPG信号;基于在所述第一时间段内的ECG信号获取第一曲线,所述第一曲线用于描述在所述第一时间段内的ECG信号中的R波与R波之间的间隔RRI的疏密变化,基于在所述第一时间段内的PPG信号获取第二曲线,所述第二曲线为在所述第一时间段内的PPG信号的包络线;在所述第一曲线与所述第二曲线具有相关性时,确定在所述第一时间段内的ECG信号与在所述第一时间段内的PPG信号具有相关性。In a first aspect, an embodiment of the present application provides a signal processing method, the method comprising: acquiring an electrocardiogram ECG signal in a first time period and a photoplethysmography PPG signal in the first time period; Obtaining a first curve from the ECG signal in the first time period, the first curve is used to describe the density change of the interval RRI between the R wave and the R wave in the ECG signal in the first time period, A second curve is obtained based on the PPG signal in the first time period, and the second curve is an envelope of the PPG signal in the first time period; between the first curve and the second When the curves are correlated, it is determined that the ECG signal in the first time period has a correlation with the PPG signal in the first time period.
采用上述方法通过判断在第一时间段内的ECG信号与在第一时间段内的PPG信号是否具有相关性,能够实现判断ECG信号是否受到呼吸影响,进而实现有效区分呼吸性窦性心律不齐或房颤、早搏等其他病症。By judging whether the ECG signal in the first time period is correlated with the PPG signal in the first time period by using the above method, it is possible to determine whether the ECG signal is affected by breathing, thereby effectively distinguishing respiratory sinus arrhythmia Or atrial fibrillation, premature beats and other diseases.
在一种可能的设计中,在确定所述第一曲线与所述第二曲线具有相关性时,计算所述第一曲线与所述第二曲线的相关系数;在所述相关系数大于预设阈值时,确定所述第一曲线与所述第二曲线具有相关性。In a possible design, when it is determined that the first curve and the second curve are correlated, a correlation coefficient between the first curve and the second curve is calculated; when the correlation coefficient is greater than a preset value When the threshold value is set, it is determined that the first curve has a correlation with the second curve.
采用上述设计可以通过计算第一曲线与所述第二曲线的相关系数判断第一曲线与第二曲线是否具有相关性。With the above design, it can be determined whether the first curve and the second curve are correlated by calculating the correlation coefficient between the first curve and the second curve.
在一种可能的设计中,还包括:基于在所述第一时间段内的ECG信号获取至少一个第一特征参数,所述第一特征参数指示在所述第一时间段内的ECG信号中的RRI的统计学特征;在确定在所述第一时间段内的ECG信号与在所述第一时间段内的PPG信号具有相关性时,若所述至少一个第一特征参数中的任意一个或多个第一特征参数满足相应的预设条件,且所述第一曲线与所述第二曲线具有相关性,确定在所述第一时间段内的ECG信号与在所述第一时间段内的PPG信号具有相关性。In a possible design, the method further includes: acquiring at least one first characteristic parameter based on the ECG signal in the first time period, the first characteristic parameter indicating that in the ECG signal in the first time period Statistical features of the RRI of the or a plurality of first characteristic parameters satisfy corresponding preset conditions, and the first curve and the second curve have a correlation, and it is determined that the ECG signal in the first time period is related to the ECG signal in the first time period The PPG signal within is correlated.
采用上述设计可以通过采用第一特征参数辅助判断在第一时间段内的ECG信号与在第一时间段内的PPG信号是否具有相关性,提高在第一时间段内的ECG信号与在第一时间段内的PPG信号是否具有相关性的判断准确性。With the above design, it is possible to use the first characteristic parameter to assist in determining whether the ECG signal in the first time period is correlated with the PPG signal in the first time period, so as to improve the relationship between the ECG signal in the first time period and the PPG signal in the first time period. The judgment accuracy of whether the PPG signals in the time period are correlated.
在一种可能的设计中,还包括:基于在所述第一时间段内的PPG信号获取至少一个第二特征参数,所述第二特征参数指示在所述第一时间段内的PPG信号所对应的呼吸特征;在确定在所述第一时间段内的ECG信号与在所述第一时间段内的PPG信号具有相关性时,若所述至少一个第二特征参数中的任意一个或多个第二特征参数满足相应的预设条件,且所述第一曲线与所述第二曲线具有相关性,确定在所述第一时间段内的ECG信号与在所述第一时间段内的PPG信号具有相关性。In a possible design, the method further includes: acquiring at least one second characteristic parameter based on the PPG signal in the first time period, the second characteristic parameter indicating the PPG signal in the first time period. Corresponding breathing characteristics; when it is determined that the ECG signal in the first time period has a correlation with the PPG signal in the first time period, if any one or more of the at least one second characteristic parameter Each second characteristic parameter satisfies the corresponding preset condition, and the first curve and the second curve have a correlation, and it is determined that the ECG signal in the first time period is related to the ECG signal in the first time period. PPG signals are correlated.
采用上述设计可以通过采用第二特征参数辅助判断在第一时间段内的ECG信号与在第一时间段内的PPG信号是否具有相关性,提高在第一时间段内的ECG信号与在第一时间段内的PPG信号是否具有相关性的判断准确性。With the above design, the second characteristic parameter can be used to assist in determining whether the ECG signal in the first time period is correlated with the PPG signal in the first time period, so as to improve the relationship between the ECG signal in the first time period and the PPG signal in the first time period. The judgment accuracy of whether the PPG signals in the time period are correlated.
在一种可能的设计中,所述包络线为在所述第一时间段内的PPG信号中的PPG峰值的包络线,或在所述第一时间段内的PPG信号中的PPG谷值的包络线,或在所述第一时间段内的PPG信号的平均幅值的包络线。In a possible design, the envelope is the envelope of the PPG peak in the PPG signal in the first time period, or the PPG valley in the PPG signal in the first time period an envelope of values, or an envelope of the average amplitude of the PPG signal over the first time period.
采用上述设计,包络线可以具有多种实现形式。With the above design, the envelope can have various realization forms.
在一种可能的设计中,还包括:获取在第二时间段内的ECG信号,其中,所述第二时间段在所述第一时间段之前;基于在所述第二时间段内的ECG信号确定至少一个第三特征参数,所述第三特征参数指示在所述第二时间段内的ECG信号的RRI统计学特征;在所述至少一个第三特征参数中的任意一个或多个第三特征参数满足相应的预设条件时,确定启动获取在所述第一时间段内的ECG信号和在所述第一时间段内的PPG信号。In a possible design, the method further includes: acquiring an ECG signal in a second time period, wherein the second time period is before the first time period; based on the ECG in the second time period The signal determines at least one third characteristic parameter, the third characteristic parameter indicating the RRI statistical characteristic of the ECG signal in the second time period; in any one or more of the at least one third characteristic parameter When the three characteristic parameters satisfy corresponding preset conditions, it is determined to start acquiring the ECG signal within the first time period and the PPG signal within the first time period.
采用上述设计可以判断是否需要获取ECG信号和PPG信号。With the above design, it can be determined whether the ECG signal and the PPG signal need to be acquired.
在一种可能的设计中,还包括在加速度传感器的数据指示状态值大于预设状态值时,确定启动获取在所述第一时间段内的ECG信号和在所述第一时间段内的PPG信号。In a possible design, when the data of the acceleration sensor indicates that the state value is greater than the preset state value, determining to start acquiring the ECG signal in the first time period and the PPG in the first time period Signal.
采用上述设计可以判断是否需要获取ECG信号和PPG信号。With the above design, it can be determined whether the ECG signal and the PPG signal need to be acquired.
第二方面,本申请实施例提供一种可穿戴设备,该设备包括:ECG信号检测模组采集在第一时间段内的心电图ECG信号;PPG信号检测模组采集在所述第一时间段内的光电容积脉搏波PPG信号;处理器基于在所述第一时间段内的ECG信号获取第一曲线,所述第一曲线用于描述在所述第一时间段内的ECG信号中的R波与R波之间的间隔RRI的疏密变化,基于在所述第一时间段内的PPG信号获取第二曲线,所述第二曲线为在所述第一时间段内的PPG信号的包络线;在所述第一曲线与所述第二曲线的相关系数大于预设阈值时,确定在所述第一时间段内的ECG信号与在所述第一时间段内的PPG信号具有相关性。In a second aspect, an embodiment of the present application provides a wearable device, the device comprising: an ECG signal detection module collects an ECG signal in a first time period; a PPG signal detection module collects in the first time period the photoplethysmography PPG signal; the processor obtains a first curve based on the ECG signal in the first time period, and the first curve is used to describe the R wave in the ECG signal in the first time period The density change of RRI with the interval between R waves, a second curve is obtained based on the PPG signal in the first time period, and the second curve is the envelope of the PPG signal in the first time period line; when the correlation coefficient between the first curve and the second curve is greater than a preset threshold, it is determined that the ECG signal in the first time period has a correlation with the PPG signal in the first time period .
在一种可能的设计中,所述处理器还用于:在确定所述第一曲线与所述第二曲线具有相关性时,计算所述第一曲线与所述第二曲线的相关系数;在所述相关系数大于预设阈值时,确定所述第一曲线与所述第二曲线具有相关性。In a possible design, the processor is further configured to: when it is determined that the first curve and the second curve have a correlation, calculate a correlation coefficient between the first curve and the second curve; When the correlation coefficient is greater than a preset threshold, it is determined that the first curve and the second curve have a correlation.
在一种可能的设计中,所述设备还包括显示模组;所述处理器还用于在确定在所述第一时间段内的ECG信号与在所述第一时间段内的PPG信号具有相关性时,通过所述显示模组显示检测结果为呼吸性窦性心率不齐。In a possible design, the device further includes a display module; the processor is further configured to determine that the ECG signal in the first time period has the same value as the PPG signal in the first time period When the correlation is detected, the detection result is displayed as respiratory sinus arrhythmia through the display module.
在一种可能的设计中,所述处理器还用于:基于在所述第一时间段内的ECG信号获取至少一个第一特征参数,所述第一特征参数指示在所述第一时间段内的ECG信号中的RRI的统计学特征;在确定在所述第一时间段内的ECG信号与在所述第一时间段内的PPG信号具有相关性时,若所述至少一个第一特征参数中的任意一个或多个第一特征参数满足相应的预设条件,且所述第一曲线与所述第二曲线具有相关性,确定在所述第一时间段内的ECG信号与在所述第一时间段内的PPG信号具有相关性。In a possible design, the processor is further configured to: acquire at least one first characteristic parameter based on the ECG signal in the first time period, the first characteristic parameter indicating that the first characteristic parameter is in the first time period Statistical features of the RRI in the ECG signal within the first time period; when determining that the ECG signal within the first time period has a correlation with the PPG signal within the first time period, if the at least one first feature Any one or more of the first characteristic parameters in the parameters satisfy corresponding preset conditions, and the first curve and the second curve are correlated, and it is determined that the ECG signal in the first time period is related to the The PPG signals in the first time period are correlated.
在一种可能的设计中,所述处理器还用于:基于在所述第一时间段内的PPG信号获取至少一个第二特征参数,所述第二特征参数指示在所述第一时间段内的PPG信号所对应的呼吸特征;在确定在所述第一时间段内的ECG信号与在所述第一时间段内的PPG信号具有相关性时,若所述至少一个第二特征参数中的任意一个或多个第二特征参数满足相应的预设条件,且所述第一曲线与所述第二曲线具有相关性,确定在所述第一时间段内的ECG信号与在所述第一时间段内的PPG信号具有相关性。In a possible design, the processor is further configured to: acquire at least one second characteristic parameter based on the PPG signal in the first time period, the second characteristic parameter indicating that in the first time period Respiratory characteristics corresponding to the PPG signal in the first time period; when it is determined that the ECG signal in the first time period is correlated with the PPG signal in the first time period, if the at least one second characteristic parameter is Any one or more of the second characteristic parameters satisfies the corresponding preset conditions, and the first curve and the second curve have a correlation, it is determined that the ECG signal in the first time period is related to the ECG signal in the first time period. The PPG signals over a period of time are correlated.
在一种可能的设计中,所述包络线为在所述第一时间段内的PPG信号中的PPG峰值的包络线,或在所述第一时间段内的PPG信号中的PPG谷值的包络线,或在所述第一时间段内的PPG信号的平均幅值的包络线。In a possible design, the envelope is the envelope of the PPG peak in the PPG signal in the first time period, or the PPG valley in the PPG signal in the first time period an envelope of values, or an envelope of the average amplitude of the PPG signal over the first time period.
在一种可能的设计中,所述ECG信号检测模组还用于获取在第二时间段内的ECG信号,其中,所述第二时间段在所述第一时间段之前;所述处理器还用于:基于在所述第二时间段内的ECG信号确定至少一个第三特征参数,所述第三特征参数指示在所述第二时间段内的ECG信号的RRI统计学特征;在所述至少一个第三特征参数中的任意一个或多个第三特征参数满足相应的预设条件时,控制所述ECG信号检测模组采集在所述第一时间段内的ECG信号和以及所述PPG信号检测模组采集在所述第一时间段内的PPG信号。In a possible design, the ECG signal detection module is further configured to acquire the ECG signal in a second time period, wherein the second time period is before the first time period; the processor is further used for: determining at least one third characteristic parameter based on the ECG signal in the second time period, the third characteristic parameter indicating an RRI statistical characteristic of the ECG signal in the second time period; When any one or more of the at least one third characteristic parameter satisfies the corresponding preset condition, control the ECG signal detection module to collect the ECG signal in the first time period and the The PPG signal detection module collects the PPG signal within the first time period.
在一种可能的设计中,所述设备还包括加速度传感器;所述处理器还用于:在加速度传感器的状态值大于预设状态值时,控制所述ECG信号检测模组采集在所述第一时间段内的ECG信号和以及所述PPG信号检测模组采集在所述第一时间段内的PPG信号。In a possible design, the device further includes an acceleration sensor; the processor is further configured to: when the state value of the acceleration sensor is greater than a preset state value, control the ECG signal detection module to collect data in the first The ECG signal in a period of time and the PPG signal detection module collect the PPG signal in the first period of time.
第三方面,本申请实施例提供一种通信装置,所述装置包括用于执行第一方面和第一方面中的任意一种可能的设计的模块。In a third aspect, an embodiment of the present application provides a communication apparatus, where the apparatus includes a module for executing the first aspect and any possible design of the first aspect.
第四方面,本申请实施例提供一种通信装置,包括处理器和接口电路,所述接口电路用于接收来自所述通信装置之外的其它通信装置的信号并传输至所述处理器或将来自所述处理器的信号发送给所述通信装置之外的其它通信装置,所述处理器通过逻辑电路或执行代码指令用于实现第一方面和第一方面中的任意一种可能的设计。In a fourth aspect, an embodiment of the present application provides a communication device, including a processor and an interface circuit, where the interface circuit is configured to receive signals from other communication devices other than the communication device and transmit to the processor or transfer signals to the processor. The signal from the processor is sent to other communication devices than the communication device, and the processor is used to implement the first aspect and any one of the possible designs of the first aspect through logic circuits or executing code instructions.
第五方面,本申请实施例提供一种计算机可读存储介质,所述存储介质中存储有计算机程序或指令,当所述计算机程序或指令被通信装置执行时,实现第一方面和第一方面中的任意一种可能的设计。In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, where a computer program or instruction is stored in the storage medium, and when the computer program or instruction is executed by a communication device, the first aspect and the first aspect are implemented any of the possible designs.
第六方面,本申请实施例提供一种包含程序的计算机程序产品,当其在通信装置上运 行时,使得通信装置执行第一方面和第一方面中的任意一种可能的设计。In a sixth aspect, embodiments of the present application provide a computer program product including a program, which, when executed on a communication device, enables the communication device to execute any one of the first aspects and any possible designs of the first aspect.
附图说明Description of drawings
图1为本申请实施例提供的在用户平稳呼吸时ECG信号的示意图;1 is a schematic diagram of an ECG signal when a user breathes smoothly according to an embodiment of the present application;
图2本申请实施例提供的在用户急促呼吸时ECG信号的示意图;2 is a schematic diagram of an ECG signal provided by an embodiment of the present application when the user is breathing rapidly;
图3本申请实施例提供的可穿戴设备的结构示意图;3 is a schematic structural diagram of a wearable device provided by an embodiment of the present application;
图4本申请实施例提供的信号处理方法的概述流程图;4 is an overview flowchart of a signal processing method provided by an embodiment of the present application;
图5本申请实施例提供的PPG信号的示意图;5 is a schematic diagram of a PPG signal provided by an embodiment of the present application;
图6本申请实施例提供的可穿戴设备执行ECG信号和PPG信号检测具体流程图。FIG. 6 is a specific flowchart of the wearable device performing ECG signal and PPG signal detection provided by an embodiment of the present application.
具体实施方式Detailed ways
在基于智能穿戴设备的ECG信号检测过程中,ECG的信号质量与用户的状态密切相关,例如,在ECG信号检测过程中腕部是否移动、皮肤与电极是否接触良好等因素,均可能导致ECG信号质量较差或无法获取。因此,在ECG信号检测过程中,智能穿戴设备可以依赖自身的加速度传感器、接触检测传感器判断用户的腕部运动状态,以及皮肤与电极接触状态,并在智能穿戴设备的屏幕上显示提示语对用户进行提醒。In the ECG signal detection process based on smart wearable devices, the signal quality of the ECG is closely related to the user's state. For example, whether the wrist moves during the ECG signal detection process, whether the skin and the electrodes are in good contact, etc., may cause the ECG signal Poor quality or unavailable. Therefore, in the process of ECG signal detection, the smart wearable device can rely on its own acceleration sensor and contact detection sensor to determine the user's wrist motion state and the contact state between the skin and the electrode, and display a prompt on the screen of the smart wearable device to inform the user. to be reminded.
为了解决呼吸性窦性心律不齐误判为房颤、早搏等其他病症的问题,当前主要存在两种解决方案:In order to solve the problem of misjudging respiratory sinus arrhythmia as atrial fibrillation, premature beats and other diseases, there are currently two main solutions:
方案1:通过专业心电图机从12导联ECG信号获取不同导联信号中的P波信号,同时借助R波特征和基线变化,可以区分用户为呼吸性窦性心律不齐或房颤、早搏等其他病症。但是,当前智能穿戴设备获取的ECG信号为单导联ECG信号,不具备专业心电图机的测量机制。Option 1: Obtain the P wave signal in different lead signals from the 12-lead ECG signal through a professional electrocardiograph. At the same time, with the help of R wave characteristics and baseline changes, users can be distinguished as respiratory sinus arrhythmia, atrial fibrillation, premature beats, etc. other illnesses. However, the ECG signal obtained by the current smart wearable device is a single-lead ECG signal, which does not have the measurement mechanism of a professional electrocardiograph.
方案2:在口鼻处使用呼吸传感器检测呼吸,配合腕部检测获得的单导联ECG信号,可以判断用户在ECG信号检测过程中的呼吸状态,进一步结合ECG信号中的R波特征,区分用户为呼吸性窦性心律不齐或房颤、早搏等其他病症。但是,在该方案2中,需要在口鼻处增加新的传感器,不利于用户实现无感检测。Option 2: Use a breathing sensor at the mouth and nose to detect breathing, and cooperate with the single-lead ECG signal obtained by wrist detection to determine the user's breathing state during the ECG signal detection process, and further combine the R-wave characteristics in the ECG signal to distinguish users. For respiratory sinus arrhythmia or atrial fibrillation, premature beats and other diseases. However, in this solution 2, a new sensor needs to be added at the mouth and nose, which is not conducive to the user to achieve non-sensing detection.
为此,基于智能穿戴设备的已有硬件设备,如何判断有效区分呼吸性窦性心律不齐或房颤、早搏等其他病症是当前需要解决的一个难题。For this reason, based on the existing hardware equipment of smart wearable devices, how to judge and effectively distinguish respiratory sinus arrhythmia or other diseases such as atrial fibrillation and premature beats is a difficult problem that needs to be solved at present.
在用户平稳呼吸时,ECG信号如图1所示,R波与R波之间的间隔(R-R interval,RRI)近似均匀,RRI的统计学特征(例如,RRI均值和/或RRI方差)处于一个相对稳定的状态,即时域的统计学特征变化不明显。R波幅值变化也相对较小。当用户呼吸比较急促时,ECG信号受到用户在呼吸时迷走神经张力变化的影响,ECG信号的RRI与R波的幅值随呼吸节律而发生变化,如图2所示。当用户吸气时,RRI间隔减小,当用户呼气时,RRI间隔增大。RRI的统计学特征发生明显变化。由于心律不齐(房颤、房早等)所对应的RRI的统计学特征与上述图2所示的RRI的统计学特征存在相似规律,因此,仅依靠RRI的统计学特征无法区分ECG信号是否受到呼吸影响,也即无法有效区分呼吸性窦性心律不齐或房颤、早搏等其他病症。When the user breathes smoothly, the ECG signal is shown in Figure 1, the interval between R waves and R waves (R-R interval, RRI) is approximately uniform, and the statistical characteristics of RRI (for example, RRI mean and/or RRI variance) are in a In a relatively stable state, the statistical characteristics of the time domain do not change significantly. R-wave amplitude changes are also relatively small. When the user breathes rapidly, the ECG signal is affected by the change in the vagus nerve tension when the user is breathing, and the RRI and R wave amplitudes of the ECG signal change with the breathing rhythm, as shown in Figure 2. When the user inhales, the RRI interval decreases, and when the user exhales, the RRI interval increases. The statistical characteristics of RRI changed significantly. Since the statistical characteristics of RRI corresponding to arrhythmia (atrial fibrillation, premature atrial, etc.) are similar to the statistical characteristics of RRI shown in Figure 2 above, it is impossible to distinguish whether the ECG signal is not based only on the statistical characteristics of RRI. Affected by breathing, it cannot effectively distinguish respiratory sinus arrhythmia from other conditions such as atrial fibrillation and premature beats.
本申请实施例应用于可穿戴设备,具体可以为手表、手环或其它穿戴式设备等。可穿戴设备300包括ECG信号检测模组301,PPG信号检测模组302和处理器303,如图3所 示。上述可穿戴设备300还包括显示模组304、加速度传感器305和存储器306等。The embodiments of the present application are applied to a wearable device, which may specifically be a watch, a wristband, or other wearable devices. The wearable device 300 includes an ECG signal detection module 301, a PPG signal detection module 302 and a processor 303, as shown in FIG. 3 . The above-mentioned wearable device 300 further includes a display module 304, an acceleration sensor 305, a memory 306, and the like.
其中,ECG信号检测模组301用于采集ECG信号。PPG信号检测模组302用于采集PPG信号。The ECG signal detection module 301 is used for collecting ECG signals. The PPG signal detection module 302 is used to collect PPG signals.
处理器303可以是一个芯片,如线程现场可编程门阵列(field-programmable gate array,FPGA)、面向应用的集成电路(application specific integrated circuit,ASIC),也可以是它们的组合。存储器306,可以用于存储计算机可执行程序代码,所述可执行程序代码包括指令。处理器303通过运行存储在存储器306的指令,从而执行可穿戴设备300的各种功能应用以及数据处理。此外,存储器306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,例如至少一个磁盘存储器件,闪存器件,通用闪存存储器(universal flash storage,UFS)等。The processor 303 may be a chip, such as a thread field-programmable gate array (FPGA), an application-specific integrated circuit (ASIC), or a combination thereof. Memory 306 may be used to store computer executable program code including instructions. The processor 303 executes various functional applications and data processing of the wearable device 300 by executing the instructions stored in the memory 306 . In addition, memory 306 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, universal flash storage (UFS), and the like.
本申请实施例中不限定上述部件之间的具体连接介质。本申请实施例在图3中以ECG信号检测模组301、PPG信号检测模组302、处理器303、显示模组304、加速度传感器305和存储器306之间通过总线307连接,总线在图3中以粗线表示,其它部件之间的连接方式,仅是进行示意性说明,并不引以为限。所述总线可以分为地址总线、数据总线、控制总线等。为便于表示,图3中仅用一条粗线表示,但并不表示仅有一根总线或一种类型的总线。The specific connection medium between the above components is not limited in the embodiments of the present application. In the embodiment of the present application, the ECG signal detection module 301 , the PPG signal detection module 302 , the processor 303 , the display module 304 , the acceleration sensor 305 and the memory 306 are connected through a bus 307 in FIG. 3 , and the bus is shown in FIG. 3 . Indicated by thick lines, the connection manners between other components are only for schematic illustration and are not intended to be limiting. The bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of presentation, only one thick line is used in FIG. 3, but it does not mean that there is only one bus or one type of bus.
基于此,本申请实施例提供一种信号处理方法,用于判断ECG信号是否受到呼吸影响,进而实现有效区分呼吸性窦性心律不齐或房颤、早搏等其他病症。以下以通信装置为执行主体说明信号处理的具体过程。需要说明的是,通信装置可以可穿戴设备或可穿戴设备中的芯片,或收集到可穿戴设备上报数据的其他设备,例如手机或平板电脑或服务器等,如图4所示,该方法包括:Based on this, the embodiments of the present application provide a signal processing method for judging whether the ECG signal is affected by breathing, so as to effectively distinguish respiratory sinus arrhythmia, atrial fibrillation, premature beats and other diseases. The specific process of signal processing will be described below with the communication device as the main body of execution. It should be noted that the communication device may be a wearable device or a chip in a wearable device, or other devices that collect data reported by the wearable device, such as a mobile phone or tablet computer or server, etc. As shown in Figure 4, the method includes:
步骤400:通信装置获取在第一时间段内的ECG信号和在第一时间段内的PPG信号。Step 400: The communication apparatus acquires the ECG signal in the first time period and the PPG signal in the first time period.
需要说明的是,通信装置获取的ECG信号的开始时间与通信装置获取的PPG信号的开始时间相同,通信装置获取的ECG信号的结束时间与通信装置获取的PPG信号的结束时间相同。It should be noted that the start time of the ECG signal obtained by the communication device is the same as the start time of the PPG signal obtained by the communication device, and the end time of the ECG signal obtained by the communication device is the same as the end time of the PPG signal obtained by the communication device.
以下举例说明触发通信装置获取第一时间段内的ECG信号和在第一时间段内的PPG信号的可能方式。可以理解的是,以下示例仅为举例,不作为本申请实施例的限定。The following examples illustrate possible ways of triggering the communication device to acquire the ECG signal within the first time period and the PPG signal within the first time period. It can be understood that the following examples are only examples, and are not intended to limit the embodiments of the present application.
示例1:在获取在第一时间段内的心电图ECG信号和在第一时间段内的光电容积脉搏波PPG信号之前,即在第一时间段之前,通信装置获取在第二时间段内的ECG信号。示例性地,通信装置在第二时间段不获取PPG信号,仅在第二时间段获取ECG信号。进一步地,通信装置基于在第二时间段内的ECG信号确定至少一个第三特征参数,第三特征参数指示在第二时间段内的ECG信号的RRI统计学特征。示例性地,这里的特征参数可以是指RRI均值、RRI方差,pNN50,偏度等,其中,pNN50是指RRI超过50ms的个数占总窦性心搏个数的百分比,偏度是指有效RRI分布相比于正态分布的偏度。Example 1: Before acquiring the electrocardiogram ECG signal in the first time period and the photoplethysmography PPG signal in the first time period, that is, before the first time period, the communication device acquires the ECG in the second time period Signal. Exemplarily, the communication device does not acquire the PPG signal during the second time period, and only acquires the ECG signal during the second time period. Further, the communication device determines at least one third characteristic parameter based on the ECG signal in the second time period, the third characteristic parameter indicating an RRI statistical characteristic of the ECG signal in the second time period. Exemplarily, the characteristic parameters here may refer to RRI mean, RRI variance, pNN50, skewness, etc., wherein, pNN50 refers to the percentage of the number of RRIs exceeding 50ms in the total number of sinus beats, and skewness refers to the effective RRI distribution. The skewness compared to the normal distribution.
通信装置根据至少一个第三特征参数,判断在至少一个第三特征参数中的任意一个或多个第三特征参数满足相应的预设条件时,确定启动获取在第一时间段内的ECG信号和在第一时间段内的PPG信号。示例性地,通信装置确定RRI均值大于第一阈值,和/或RRI方差大于第二阈值,则确定启动获取在第一时间段内的ECG信号和在第一时间段内的PPG信号。上述情况表明,针对第二时间段的ECG信号可能无法有效区分呼吸性窦性心律不齐或房颤、早搏等其他病症,因此需要重新检测ECG信号,即加入PPG信号的检测,以 实现有效区分呼吸性窦性心律不齐或房颤、早搏等其他病症。The communication device determines, according to the at least one third characteristic parameter, that when any one or more of the at least one third characteristic parameter satisfies a corresponding preset condition, and determines to start acquiring the ECG signal and PPG signal during the first time period. Exemplarily, the communication apparatus determines that the RRI mean value is greater than the first threshold, and/or the RRI variance is greater than the second threshold, and then determines to start acquiring the ECG signal within the first time period and the PPG signal within the first time period. The above situation shows that the ECG signal for the second time period may not be able to effectively distinguish respiratory sinus arrhythmia or other conditions such as atrial fibrillation and premature beats. Therefore, it is necessary to re-detect the ECG signal, that is, add the detection of the PPG signal to achieve effective differentiation. Respiratory sinus arrhythmia or other conditions such as atrial fibrillation and premature beats.
示例性地,获取10s的ECG信号,判断10s的ECG信号所对应的RRI均值的变化范围超出第一预设范围,且RRI方差的变化范围超过第二预设范围,则启动获取20s的ECG信号和20s的PPG信号。Exemplarily, the ECG signal of 10s is acquired, and it is determined that the variation range of the mean RRI value corresponding to the ECG signal of 10s exceeds the first preset range, and the variation range of the RRI variance exceeds the second preset range, then the acquisition of the ECG signal of 20s is started. and 20s of PPG signal.
示例2:在获取在第一时间段内的心电图ECG信号和在第一时间段内的光电容积脉搏波PPG信号之前,即在第一时间段之前,若加速度传感器的状态值大于预设状态值,通信装置确定启动获取在第一时间段内的ECG信号和在第一时间段内的PPG信号。其中,加速度传感器的状态值大于预设状态值,表明用户可能处于运动状态,因此呼吸可能比较急促,ECG信号受到呼吸影响的可能性较大,存在仅根据ECG信号无法区分呼吸性窦性心律不齐或房颤、早搏等其他病症的风险。Example 2: Before acquiring the electrocardiogram ECG signal in the first time period and the photoplethysmography PPG signal in the first time period, that is, before the first time period, if the state value of the acceleration sensor is greater than the preset state value , the communication device determines to initiate acquisition of the ECG signal within the first time period and the PPG signal within the first time period. Among them, the state value of the acceleration sensor is greater than the preset state value, indicating that the user may be in a state of exercise, so the breathing may be relatively short, and the ECG signal is likely to be affected by breathing. Qi or risk of other conditions such as atrial fibrillation and premature beats.
可以理解的是,通信装置还可以通过其他触发方式触发获取在第一时间段内的ECG信号和在第一时间段内的PPG信号,本申请实施例对此不作限定。此外,通信装置还可以不需要触发条件,主动同时获取ECG信号和PPG信号。It can be understood that the communication device may also trigger the acquisition of the ECG signal in the first time period and the PPG signal in the first time period by using other triggering methods, which is not limited in this embodiment of the present application. In addition, the communication device may also actively acquire the ECG signal and the PPG signal simultaneously without triggering conditions.
步骤410:通信装置基于在第一时间段内的ECG信号获取第一曲线,基于在第一时间段内的PPG信号获取第二曲线,第一曲线用于描述在第一时间段内的ECG信号中的RRI的疏密变化,第二曲线为在第一时间段内的PPG信号的包络线。Step 410: The communication device obtains a first curve based on the ECG signal in the first time period, and obtains a second curve based on the PPG signal in the first time period, where the first curve is used to describe the ECG signal in the first time period The density variation of RRI in , the second curve is the envelope of the PPG signal in the first time period.
示例性地,第一曲线如图2所示,该曲线反应了RRI疏密变化的情况。通信装置通过分析ECG信号得到如图2所示的曲线。示例性地,通信装置可以根据在第一时间段内的ECG信号,计算RRI间隔变化的分布特征,从而得到反映RRI疏密变化的第一曲线。Exemplarily, the first curve is shown in FIG. 2 , and the curve reflects the change of RRI density. The communication device obtains the curve shown in FIG. 2 by analyzing the ECG signal. Exemplarily, the communication apparatus may calculate the distribution characteristic of the RRI interval change according to the ECG signal in the first time period, so as to obtain the first curve reflecting the RRI density change.
示例性地,第二曲线可以为在第一时间段内的PPG信号中的PPG峰值的包络线,或在第一时间段内的PPG信号中的PPG谷值的包络线,或在第一时间段内的PPG信号的平均幅值的包络线。如图5中的曲线1、曲线2和曲线3所示分别为PPG谷值的包络线、平均幅值的包络线和PPG峰值的包络线。通信装置通过分析PPG信号可以得到如图5所示的任意一条曲线。示例性地,通信装置可以根据在第一时间段内的PPG信号计算PPG峰值变化特征,通过PPG峰值变化特征可以绘制出第二曲线。Exemplarily, the second curve may be the envelope of the PPG peak value in the PPG signal in the first time period, or the envelope of the PPG valley value in the PPG signal in the first time period, or the envelope curve of the PPG valley value in the PPG signal in the first time period. The envelope of the average amplitude of the PPG signal over a period of time. Curve 1, curve 2 and curve 3 in FIG. 5 are respectively the envelope of the PPG valley, the envelope of the average amplitude and the envelope of the PPG peak. The communication device can obtain any curve as shown in FIG. 5 by analyzing the PPG signal. Exemplarily, the communication apparatus may calculate the PPG peak value variation characteristic according to the PPG signal in the first time period, and may draw the second curve according to the PPG peak value variation characteristic.
此外,通信装置还可根据在第一时间段内的ECG信号,获取至少一个第一特征参数,第一特征参数指示在第一时间段内的ECG信号中的RRI的统计学特征。示例性地,通信装置还可以根据在第一时间段内的ECG信号计算RRI均值、RRI方差,pNN50,偏度等。此外,通信装置还可根据在第一时间段内的ECG信号确定其他参数,本申请实施例对此不作限定。In addition, the communication device may obtain at least one first characteristic parameter according to the ECG signal in the first time period, the first characteristic parameter indicating a statistical characteristic of the RRI in the ECG signal in the first time period. Exemplarily, the communication apparatus may further calculate an RRI mean, RRI variance, pNN50, skewness, etc. according to the ECG signal in the first time period. In addition, the communication device may also determine other parameters according to the ECG signal in the first time period, which is not limited in this embodiment of the present application.
通信装置还可以根据在第一时间段内的PPG信号,获取至少一个第二特征参数,第二特征参数指示在第一时间段内的PPG信号对应的呼吸特征。示例性地,通信装置还可以根据在第一时间段内的PPG信号计算用于PPG峰值变化特征,通过PPG峰值变化特征,可以绘制出第二曲线。通信装置通过分析第二曲线的波形的时域分析和频域分析,从而得到呼吸程度、呼吸首末位置、呼吸周期等特征。此外,通信装置还可根据在第一时间段内的PPG信号确定其他参数,本申请实施例对此不作限定。The communication device may also acquire at least one second characteristic parameter according to the PPG signal in the first time period, where the second characteristic parameter indicates a breathing characteristic corresponding to the PPG signal in the first time period. Exemplarily, the communication apparatus may further calculate the peak value variation characteristic of the PPG according to the PPG signal in the first time period, and the second curve may be drawn according to the peak value variation characteristic of the PPG. The communication device obtains characteristics such as degree of respiration, position of beginning and end of respiration, and respiration period by analyzing the time domain analysis and frequency domain analysis of the waveform of the second curve. In addition, the communication device may also determine other parameters according to the PPG signal in the first time period, which is not limited in this embodiment of the present application.
步骤420:通信装置在第一曲线与第二曲线具有相关性时,确定在第一时间段内的ECG信号与在第一时间段内的PPG信号具有相关性。Step 420: When the first curve and the second curve have a correlation, the communication device determines that the ECG signal in the first time period has a correlation with the PPG signal in the first time period.
以下对通信装置判断第一曲线与第二曲线是否具有相关性的具体方式进行说明,可以理解的是,以下举例不作为本申请实施例的限定。本领域技术人员还可采用其他方式确定 第一曲线与第二曲线具有相关性。The specific manner in which the communication device determines whether the first curve and the second curve are correlated will be described below. It is understood that the following examples are not limited to the embodiments of the present application. Those skilled in the art can also determine the correlation between the first curve and the second curve in other ways.
示例性地,通信装置可以确定第一曲线的特征和第二曲线的特征。例如,第一曲线的特征可以包括第一曲线的周期,第一曲线的波峰位置和/或第一曲线的波谷位置,第二曲线的特征可以包括第二曲线的周期,第二曲线的波峰位置和/或第二曲线的波谷位置。通信装置可以通过第一曲线的特征和第二曲线的特征判断第一曲线和第二曲线是否具有相关性。若第一曲线的周期与第二曲线的周期相同,且第一曲线的波峰位置与第二曲线的波峰位置相同和/或第一曲线的波谷位置与第二曲线的波谷位置相同,则通信装置确定第一曲线与第二曲线具有相关性,并进一步确定在第一时间段内的ECG信号与在第一时间段内的PPG信号具有相关性。Illustratively, the communication device may determine the characteristics of the first curve and the characteristics of the second curve. For example, the characteristics of the first curve may include the period of the first curve, the peak position of the first curve and/or the trough position of the first curve, and the characteristics of the second curve may include the period of the second curve, the peak position of the second curve and/or the trough position of the second curve. The communication device may determine whether the first curve and the second curve are correlated through the characteristics of the first curve and the characteristics of the second curve. If the period of the first curve is the same as the period of the second curve, and the position of the peak of the first curve is the same as the position of the peak of the second curve and/or the position of the trough of the first curve is the same as the position of the trough of the second curve, the communication device It is determined that the first curve has a correlation with the second curve, and it is further determined that the ECG signal in the first time period has a correlation with the PPG signal in the first time period.
示例性地,通信装置在确定第一曲线的特征和第二曲线的特征之后,可以计算第一曲线的周期和第一曲线的周期的差值,并根据该差值的大小所落入的预设范围确定第一曲线的周期和第一曲线的周期的相关系数,例如,差值为0~0.1s,则相关系数为1,差值为0.1~0.2s,则相关系数为0.8。同理,通信装置还可以确定第一曲线的波峰位置和第二曲线的波峰位置的相关系数,和/或第一曲线的波峰位置和第二曲线的波峰位置的相关系数。进一步地,通信装置可以为上述三种相关系数分配相应的权重,得到加权求和运算的结果作为第一曲线与第二曲线的相关系数。进一步地,通信装置判断第一曲线与第二曲线的相关系数是否大于预设阈值。在第一曲线与第二曲线的相关系数大于预设阈值时,确定在第一时间段内的ECG信号与在第一时间段内的PPG信号具有相关性,即ECG信号受呼吸影响,当前检测结果为呼吸性窦性心率不齐。在第一曲线与第二曲线的相关系数小于阈值时,确定在第一时间段内的ECG信号与在第一时间段内的PPG信号不具有相关性,即ECG信号未受呼吸影响。当判断用户为非呼吸性窦性心律不齐时,通信装置基于在第一时间段内的ECG信号采用预设ECG检测模型得到相应的检测结果,例如,当前检测结果为房颤或早搏等。Exemplarily, after determining the characteristics of the first curve and the characteristics of the second curve, the communication device may calculate the difference between the period of the first curve and the period of the first curve, and calculate the difference according to the predetermined value within which the difference falls. Set the range to determine the correlation coefficient between the period of the first curve and the period of the first curve. For example, if the difference is 0-0.1s, the correlation coefficient is 1; Similarly, the communication device may also determine the correlation coefficient between the peak position of the first curve and the peak position of the second curve, and/or the correlation coefficient between the peak position of the first curve and the peak position of the second curve. Further, the communication device may assign corresponding weights to the above three correlation coefficients, and obtain the result of the weighted sum operation as the correlation coefficient between the first curve and the second curve. Further, the communication device determines whether the correlation coefficient between the first curve and the second curve is greater than a preset threshold. When the correlation coefficient between the first curve and the second curve is greater than the preset threshold, it is determined that the ECG signal in the first time period has a correlation with the PPG signal in the first time period, that is, the ECG signal is affected by breathing, and the current detection The result was respiratory sinus arrhythmia. When the correlation coefficient between the first curve and the second curve is less than the threshold, it is determined that the ECG signal in the first time period has no correlation with the PPG signal in the first time period, that is, the ECG signal is not affected by breathing. When judging that the user has non-respiratory sinus arrhythmia, the communication device uses a preset ECG detection model to obtain a corresponding detection result based on the ECG signal in the first time period, for example, the current detection result is atrial fibrillation or premature beat.
需要说明的是,上述确定第一曲线与第二曲线的相关系数的方式仅为举例,本领域技术人员还可采用其他方式计算第一曲线与第二曲线的相关系数。It should be noted that the above method of determining the correlation coefficient between the first curve and the second curve is only an example, and those skilled in the art may also use other methods to calculate the correlation coefficient between the first curve and the second curve.
此外,在一些实施例中,除了通信装置计算第一曲线与第二曲线的相关系数,通信装置还可以结合第一特征参数和第二特征参数判断在第一时间段内的ECG信号与在第一时间段内的PPG信号是否具有相关性。In addition, in some embodiments, in addition to calculating the correlation coefficient between the first curve and the second curve by the communication device, the communication device may also combine the first characteristic parameter and the second characteristic parameter to determine the difference between the ECG signal in the first time period and the ECG signal in the first time period. Whether the PPG signals in a time period are correlated.
在一些实施例中,若至少一个第一特征参数中的任意一个或多个第一特征参数满足相应的预设条件,且第一曲线与第二曲线的相关系数大于预设阈值,确定在第一时间段内的ECG信号与在第一时间段内的PPG信号具有相关性。示例性地,若RRI均值大于第一阈值和/或RRI方差大于第二阈值,且第一曲线与第二曲线的相关系数大于预设阈值,确定在第一时间段内的ECG信号与在第一时间段内的PPG信号具有相关性。In some embodiments, if any one or more of the at least one first characteristic parameter satisfies a corresponding preset condition, and the correlation coefficient between the first curve and the second curve is greater than a preset threshold, it is determined that the The ECG signal in a time period has a correlation with the PPG signal in the first time period. Exemplarily, if the mean RRI value is greater than the first threshold and/or the RRI variance is greater than the second threshold, and the correlation coefficient between the first curve and the second curve is greater than the preset threshold, it is determined that the ECG signal in the first time period is different from the ECG signal in the first time period. The PPG signals over a period of time are correlated.
在一些实施例中,若至少一个第二特征参数中的任意一个或多个第二特征参数满足相应的预设条件,且第一曲线与第二曲线的相关系数大于预设阈值,确定在第一时间段内的ECG信号与在第一时间段内的PPG信号具有相关性。示例性地,若呼吸幅度大于第三阈值和/或呼吸频次大于第四阈值,且第一曲线与第二曲线的相关系数大于预设阈值,确定在第一时间段内的ECG信号与在第一时间段内的PPG信号具有相关性。In some embodiments, if any one or more of the at least one second characteristic parameter satisfies a corresponding preset condition, and the correlation coefficient between the first curve and the second curve is greater than a preset threshold, it is determined that the The ECG signal in a time period has a correlation with the PPG signal in the first time period. Exemplarily, if the breathing amplitude is greater than the third threshold and/or the breathing frequency is greater than the fourth threshold, and the correlation coefficient between the first curve and the second curve is greater than the preset threshold, it is determined that the ECG signal in the first time period is the same as that in the first time period. The PPG signals over a period of time are correlated.
在一些实施例中,若至少一个第一特征参数中的任意一个或多个第一特征参数满足相应的预设条件,且至少一个第二特征参数中的任意一个或多个第二特征参数满足相应的预 设条件,且第一曲线与第二曲线的相关系数大于预设阈值,确定在第一时间段内的ECG信号与在第一时间段内的PPG信号具有相关性。In some embodiments, if any one or more of the at least one first characteristic parameter satisfies a corresponding preset condition, and any one or more of the at least one second characteristic parameter satisfies According to the corresponding preset condition, and the correlation coefficient between the first curve and the second curve is greater than the preset threshold, it is determined that the ECG signal in the first time period has a correlation with the PPG signal in the first time period.
通过采用第一特征参数和第二特征参数辅助判断在第一时间段内的ECG信号与在第一时间段内的PPG信号是否具有相关性,提高在第一时间段内的ECG信号与在第一时间段内的PPG信号是否具有相关性的判断准确性。By using the first characteristic parameter and the second characteristic parameter to assist in judging whether the ECG signal in the first time period is correlated with the PPG signal in the first time period, the ECG signal in the first time period and the PPG signal in the first time period are improved. The accuracy of judging whether the PPG signals in a period of time are correlated.
需要说明的是,通信装置还可以结合其他参数共同判断在第一时间段内的ECG信号与在第一时间段内的PPG信号是否具有相关性,本申请实施例对此不作限定。It should be noted that, the communication device may also combine other parameters to jointly determine whether the ECG signal in the first time period is correlated with the PPG signal in the first time period, which is not limited in this embodiment of the present application.
综上,采用本申请实施例提供的方法通过判断在第一时间段内的ECG信号与在第一时间段内的PPG信号是否具有相关性,能够实现判断ECG信号是否受到呼吸影响,进而实现有效区分呼吸性窦性心律不齐或房颤、早搏等其他病症。To sum up, by using the method provided by the embodiments of the present application, by judging whether the ECG signal in the first time period is correlated with the PPG signal in the first time period, it is possible to determine whether the ECG signal is affected by breathing, and then realize effective Distinguish respiratory sinus arrhythmia or other conditions such as atrial fibrillation and premature beats.
基于上述相同的思路,本申请实施例还提供一种可穿戴设备,可穿戴设备300包括ECG信号检测模组301,PPG信号检测模组302和处理器303,如图3所示。上述可穿戴设备300还包括显示模组304、加速度传感器305和存储器306等。存储器306,可以用于存储计算机可执行程序代码,所述可执行程序代码包括指令。处理器303通过运行存储在存储器306的指令,从而执行可穿戴设备300的各种功能应用以及数据处理。Based on the same idea as above, an embodiment of the present application further provides a wearable device. The wearable device 300 includes an ECG signal detection module 301 , a PPG signal detection module 302 and a processor 303 , as shown in FIG. 3 . The above-mentioned wearable device 300 further includes a display module 304, an acceleration sensor 305, a memory 306, and the like. Memory 306 may be used to store computer executable program code including instructions. The processor 303 executes various functional applications and data processing of the wearable device 300 by executing the instructions stored in the memory 306 .
其中,ECG信号检测模组301采集在第一时间段内的心电图ECG信号。The ECG signal detection module 301 collects the ECG signal of the electrocardiogram in the first time period.
PPG信号检测模组302采集在第一时间段内的光电容积脉搏波PPG信号。The PPG signal detection module 302 collects the photoplethysmographic PPG signal in the first time period.
处理器303基于在第一时间段内的ECG信号获取第一曲线,基于在第一时间段内的PPG信号获取第二曲线,在第一曲线与第二曲线具有相关性时,确定在第一时间段内的ECG信号与在第一时间段内的PPG信号具有相关性。其中,第一曲线用于描述在第一时间段内的ECG信号中的RRI的疏密变化,第二曲线为在第一时间段内的PPG信号的包络线。The processor 303 obtains the first curve based on the ECG signal in the first time period, obtains the second curve based on the PPG signal in the first time period, and when the first curve and the second curve have a correlation, determine that the first curve is in the first curve. The ECG signal in the time period has a correlation with the PPG signal in the first time period. The first curve is used to describe the density change of RRI in the ECG signal in the first time period, and the second curve is the envelope of the PPG signal in the first time period.
处理器303还用于:在确定第一曲线与第二曲线具有相关性时,计算第一曲线与第二曲线的相关系数;在相关系数大于预设阈值时,确定第一曲线与第二曲线具有相关性。The processor 303 is further configured to: when it is determined that the first curve and the second curve have a correlation, calculate a correlation coefficient between the first curve and the second curve; when the correlation coefficient is greater than a preset threshold, determine the first curve and the second curve are relevant.
在一些实施例中,上述可穿戴设备还包括显示模组304,在处理器确定在第一时间段内的ECG信号与在第一时间段内的PPG信号具有相关性时,显示模组304显示检测结果为呼吸性窦性心率不齐。进一步地,显示模组304还可以提示用户是否重新采集信号,以进一步通过重新检测排除当前用户心率异常的可能性。In some embodiments, the above-mentioned wearable device further includes a display module 304. When the processor determines that the ECG signal in the first time period has a correlation with the PPG signal in the first time period, the display module 304 displays The test result was respiratory sinus arrhythmia. Further, the display module 304 can also prompt the user whether to re-collect signals, so as to further eliminate the possibility of abnormal heart rate of the current user through re-detection.
在一些实施例中,处理器303还用于:基于在第一时间段内的ECG信号获取至少一个第一特征参数,第一特征参数指示在第一时间段内的ECG信号中的RRI的统计学特征;若至少一个第一特征参数中的任意一个或多个第一特征参数满足相应的预设条件,且第一曲线与第二曲线的相关系数大于预设阈值,确定在第一时间段内的ECG信号与在第一时间段内的PPG信号具有相关性。In some embodiments, the processor 303 is further configured to: obtain at least one first characteristic parameter based on the ECG signal in the first time period, the first characteristic parameter indicating the statistics of RRI in the ECG signal in the first time period If any one or more of the at least one first characteristic parameter satisfies the corresponding preset condition, and the correlation coefficient between the first curve and the second curve is greater than the preset threshold, it is determined that the first time period is The ECG signal within the period has a correlation with the PPG signal within the first time period.
在一些实施例中,处理器303还用于:基于在第一时间段内的PPG信号获取至少一个第二特征参数,第二特征参数指示在第一时间段内的PPG信号所对应的呼吸特征;若至少一个第二特征参数中的任意一个或多个第二特征参数满足相应的预设条件,且第一曲线与第二曲线的相关系数大于预设阈值,确定在第一时间段内的ECG信号与在第一时间段内的PPG信号具有相关性。In some embodiments, the processor 303 is further configured to: acquire at least one second characteristic parameter based on the PPG signal in the first time period, where the second characteristic parameter indicates a breathing characteristic corresponding to the PPG signal in the first time period ; If any one or more of the at least one second characteristic parameter satisfies the corresponding preset condition, and the correlation coefficient between the first curve and the second curve is greater than the preset threshold, it is determined that the The ECG signal is correlated with the PPG signal during the first time period.
在一些实施例中,ECG信号检测模组301还用于获取在第二时间段内的ECG信号,其中,第二时间段在第一时间段之前。处理器303还用于:基于在第二时间段内的ECG 信号确定至少一个第三特征参数,第三特征参数指示在第二时间段内的ECG信号的RRI统计学特征;在至少一个第三特征参数中的任意一个或多个第三特征参数满足相应的预设条件时,控制ECG信号检测模组301采集在第一时间段内的ECG信号以及PPG信号检测模组302采集在第一时间段内的PPG信号。In some embodiments, the ECG signal detection module 301 is further configured to acquire an ECG signal within a second time period, wherein the second time period is before the first time period. The processor 303 is further configured to: determine at least one third characteristic parameter based on the ECG signal in the second time period, the third characteristic parameter indicating an RRI statistical characteristic of the ECG signal in the second time period; When any one or more of the third characteristic parameters in the characteristic parameters meet the corresponding preset conditions, the ECG signal detection module 301 is controlled to collect the ECG signal within the first time period and the PPG signal detection module 302 is collected at the first time PPG signal within the segment.
在一些实施例中,上述可穿戴设备还包括加速度传感器305。处理器还用于:在加速度传感器305的状态值大于预设状态值时,控制ECG信号检测模组301采集在第一时间段内的ECG信号以及PPG信号检测模组302采集在第一时间段内的PPG信号。In some embodiments, the above-mentioned wearable device further includes an acceleration sensor 305 . The processor is further configured to: control the ECG signal detection module 301 to collect the ECG signal in the first time period and the PPG signal detection module 302 to collect the ECG signal in the first time period when the state value of the acceleration sensor 305 is greater than the preset state value within the PPG signal.
以下结合附图6对本申请实施例进行详细说明。The embodiments of the present application will be described in detail below with reference to FIG. 6 .
步骤1:启动ECG信号检测模组,同时启动PPG信号检测模组。Step 1: start the ECG signal detection module, and simultaneously start the PPG signal detection module.
步骤2:ECG信号检测模组采集在第一时间段内的ECG信号,PPG信号检测模组采集在第一时间段内的PPG信号。示例性地,第一时间段的长度为20S~30S。Step 2: The ECG signal detection module collects the ECG signal in the first time period, and the PPG signal detection module collects the PPG signal in the first time period. Exemplarily, the length of the first time period is 20S˜30S.
步骤3:处理器基于采集到的ECG信号,计算至少一个第一特征参数,并得到第一曲线。Step 3: The processor calculates at least one first characteristic parameter based on the collected ECG signal, and obtains a first curve.
示例性地,处理器基于采集到的ECG信号计算RRI均值、RRI方差、RRI疏密变化周期PPN50和偏度等第一特征参数。Exemplarily, based on the collected ECG signal, the processor calculates the first characteristic parameters such as the RRI mean value, the RRI variance, the RRI density change period PPN50 and the skewness.
步骤4:处理器基于采集到的PPG信号,计算至少一个第二特征参数,并得到第二曲线。Step 4: The processor calculates at least one second characteristic parameter based on the collected PPG signal, and obtains a second curve.
示例性地,处理器基于PPG信号分析PPG谷值变化特征,通过PPG谷值变化特征,可以得到第二曲线,进一步通过分析第二曲线的波形的时域分析和频域分析,从而得到呼吸程度、呼吸首末位置、呼吸周期等第二特征参数。Exemplarily, the processor analyzes the PPG valley value variation feature based on the PPG signal, and through the PPG valley value variation feature, a second curve can be obtained, and further by analyzing the time domain analysis and frequency domain analysis of the waveform of the second curve, the degree of respiration can be obtained. , the position of the beginning and end of the breath, and the second characteristic parameters of the breathing cycle.
步骤5:处理器判断是否存在任意一个或多个第一特征参数满足对应的预设条件,或任意一个或多个第二特征参数满足对应的预设条件。若不存在任意一个或多个第一特征参数满足对应的预设条件,执行步骤6。若不存在任意一个或多个第二特征参数满足对应的预设条件,执行步骤6。若存在任意一个或多个第一特征参数满足对应的预设条件,或任意一个或多个第二特征参数满足对应的预设条件,执行步骤7。Step 5: The processor determines whether any one or more first characteristic parameters satisfy the corresponding preset condition, or any one or more second characteristic parameters satisfy the corresponding preset condition. If there is no one or more first characteristic parameters that satisfy the corresponding preset conditions, step 6 is performed. If there is no one or more second characteristic parameters that satisfy the corresponding preset conditions, step 6 is performed. If any one or more first characteristic parameters satisfy the corresponding preset condition, or any one or more second characteristic parameters satisfy the corresponding preset condition, step 7 is performed.
步骤6:处理器确定检测结果为非呼吸性窦性心率不齐。处理器基于ECG信号采用预设ECG检测模型得到相应的检测结果,通过显示模组显示检测结果。示例性地,显示模组显示E CG信号对应的心率检测结果,例如70次/分。Step 6: The processor determines that the detection result is non-respiratory sinus arrhythmia. The processor uses a preset ECG detection model to obtain corresponding detection results based on the ECG signal, and displays the detection results through the display module. Exemplarily, the display module displays the heart rate detection result corresponding to the ECG signal, for example, 70 beats/min.
步骤7:处理器计算第一曲线与第二曲线的相关系数,处理器判断第一曲线与第二曲线的相关系数是否大于预设阈值,若第一曲线与第二曲线的相关系数小于或等于预设阈值,则执行步骤8。若第一曲线与第二曲线的相关系数大于预设阈值,则执行步骤9。Step 7: The processor calculates the correlation coefficient between the first curve and the second curve, and the processor determines whether the correlation coefficient between the first curve and the second curve is greater than a preset threshold, if the correlation coefficient between the first curve and the second curve is less than or equal to If the threshold is preset, go to step 8. If the correlation coefficient between the first curve and the second curve is greater than the preset threshold, step 9 is performed.
步骤8:处理器在确定第一曲线与第二曲线的相关系数小于或等于预设阈值时,处理器确定检测结果为非呼吸性窦性心率不齐。处理器基于ECG信号采用预设ECG检测模型得到相应的检测结果,并通过显示模组显示检测结果。示例性地,显示模组显示ECG信号对应的心率检测结果,例如,房颤或早搏。Step 8: When the processor determines that the correlation coefficient between the first curve and the second curve is less than or equal to the preset threshold, the processor determines that the detection result is non-respiratory sinus arrhythmia. The processor uses a preset ECG detection model to obtain corresponding detection results based on the ECG signal, and displays the detection results through the display module. Exemplarily, the display module displays the heart rate detection result corresponding to the ECG signal, for example, atrial fibrillation or premature beat.
步骤9:处理器在确定第一曲线与第二曲线的相关系数大于预设阈值时,处理器通过显示模组显示检测结果为呼吸性窦性心率不齐。Step 9: When the processor determines that the correlation coefficient between the first curve and the second curve is greater than the preset threshold, the processor displays through the display module that the detection result is respiratory sinus arrhythmia.
进一步地,处理器还可通过显示模组提醒用户保持呼吸平稳,并提示用户是否需要重新检测一次。Further, the processor can also remind the user to keep breathing steady through the display module, and prompt the user whether to re-test.
通过上述流程,可穿戴设备无需硬件改进实现对呼吸式窦性心律不齐的检测,且能够有效区分呼吸性窦性心律不齐或房颤、早搏等其他病症。Through the above process, the wearable device can detect respiratory sinus arrhythmia without hardware improvement, and can effectively distinguish respiratory sinus arrhythmia or other diseases such as atrial fibrillation and premature beats.
本申请的实施例中的方法步骤可以通过硬件的方式来实现,也可以由处理器执行软件指令的方式来实现。软件指令可以由相应的软件模块组成,软件模块可以被存放于随机存取存储器(Random Access Memory,RAM)、闪存、只读存储器(Read-Only Memory,ROM)、可编程只读存储器(Programmable ROM,PROM)、可擦除可编程只读存储器(Erasable PROM,EPROM)、电可擦除可编程只读存储器(Electrically EPROM,EEPROM)、寄存器、硬盘、移动硬盘、CD-ROM或者本领域熟知的任何其它形式的存储介质中。一种示例性的存储介质耦合至处理器,从而使处理器能够从该存储介质读取信息,且可向该存储介质写入信息。当然,存储介质也可以是处理器的组成部分。处理器和存储介质可以位于ASIC中。另外,该ASIC可以位于网络设备或终端设备中。当然,处理器和存储介质也可以作为分立组件存在于网络设备或终端设备中。The method steps in the embodiments of the present application may be implemented in a hardware manner, or may be implemented in a manner in which a processor executes software instructions. Software instructions can be composed of corresponding software modules, and software modules can be stored in random access memory (Random Access Memory, RAM), flash memory, read-only memory (Read-Only Memory, ROM), programmable read-only memory (Programmable ROM) , PROM), Erasable Programmable Read-Only Memory (Erasable PROM, EPROM), Electrically Erasable Programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory (Electrically EPROM, EEPROM), registers, hard disks, removable hard disks, CD-ROMs or known in the art in any other form of storage medium. An exemplary storage medium is coupled to the processor, such that the processor can read information from, and write information to, the storage medium. Of course, the storage medium can also be an integral part of the processor. The processor and storage medium may reside in an ASIC. Alternatively, the ASIC may be located in a network device or in an end device. Of course, the processor and the storage medium may also exist in the network device or the terminal device as discrete components.
在上述实施例中,可以全部或部分地通过软件、硬件、固件或者其任意组合来实现。当使用软件实现时,可以全部或部分地以计算机程序产品的形式实现。所述计算机程序产品包括一个或多个计算机程序或指令。在计算机上加载和执行所述计算机程序或指令时,全部或部分地执行本申请实施例所述的流程或功能。所述计算机可以是通用计算机、专用计算机、计算机网络、网络设备、用户设备或者其它可编程装置。所述计算机程序或指令可以存储在计算机可读存储介质中,或者从一个计算机可读存储介质向另一个计算机可读存储介质传输,例如,所述计算机程序或指令可以从一个网站站点、计算机、服务器或数据中心通过有线或无线方式向另一个网站站点、计算机、服务器或数据中心进行传输。所述计算机可读存储介质可以是计算机能够存取的任何可用介质或者是集成一个或多个可用介质的服务器、数据中心等数据存储设备。所述可用介质可以是磁性介质,例如,软盘、硬盘、磁带;也可以是光介质,例如,数字视频光盘(digital video disc,DVD);还可以是半导体介质,例如,固态硬盘(solid state drive,SSD)。In the above-mentioned embodiments, it may be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented in software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer programs or instructions. When the computer program or instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present application are executed in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, network equipment, user equipment, or other programmable apparatus. The computer program or instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer program or instructions may be downloaded from a website site, computer, A server or data center transmits by wire or wireless to another website site, computer, server or data center. The computer-readable storage medium may be any available medium that can be accessed by a computer, or a data storage device such as a server, data center, or the like that integrates one or more available media. The usable medium can be a magnetic medium, such as a floppy disk, a hard disk, and a magnetic tape; it can also be an optical medium, such as a digital video disc (DVD); it can also be a semiconductor medium, such as a solid state drive (solid state drive). , SSD).
在本申请的各个实施例中,如果没有特殊说明以及逻辑冲突,不同的实施例之间的术语和/或描述具有一致性、且可以相互引用,不同的实施例中的技术特征根据其内在的逻辑关系可以组合形成新的实施例。In the various embodiments of the present application, if there is no special description or logical conflict, the terms and/or descriptions between different embodiments are consistent and can be referred to each other, and the technical features in different embodiments are based on their inherent Logical relationships can be combined to form new embodiments.
本申请中,“至少一个”是指一个或者多个,“多个”是指两个或两个以上。“和/或”,描述关联对象的关联关系,表示可以存在三种关系,例如,A和/或B,可以表示:单独存在A,同时存在A和B,单独存在B的情况,其中A,B可以是单数或者复数。在本申请的文字描述中,字符“/”,一般表示前后关联对象是一种“或”的关系;在本申请的公式中,字符“/”,表示前后关联对象是一种“相除”的关系。In this application, "at least one" means one or more, and "plurality" means two or more. "And/or", which describes the relationship of the associated objects, indicates that there can be three kinds of relationships, for example, A and/or B, it can indicate that A exists alone, A and B exist at the same time, and B exists alone, where A, B can be singular or plural. In the text description of this application, the character "/" generally indicates that the related objects are a kind of "or" relationship; in the formula of this application, the character "/" indicates that the related objects are a kind of "division" Relationship.
可以理解的是,在本申请的实施例中涉及的各种数字编号仅为描述方便进行的区分,并不用来限制本申请的实施例的范围。上述各过程的序号的大小并不意味着执行顺序的先后,各过程的执行顺序应以其功能和内在逻辑确定。It can be understood that, the various numbers and numbers involved in the embodiments of the present application are only for the convenience of description, and are not used to limit the scope of the embodiments of the present application. The size of the sequence numbers of the above processes does not imply the sequence of execution, and the execution sequence of each process should be determined by its function and internal logic.

Claims (17)

  1. 一种信号处理方法,其特征在于,该方法包括:A signal processing method, characterized in that the method comprises:
    获取在第一时间段内的心电图ECG信号和在所述第一时间段内的光电容积脉搏波PPG信号;acquiring the electrocardiogram ECG signal in the first time period and the photoplethysmography PPG signal in the first time period;
    基于在所述第一时间段内的ECG信号获取第一曲线,所述第一曲线用于描述在所述第一时间段内的ECG信号中的R波与R波之间的间隔RRI的疏密变化,基于在所述第一时间段内的PPG信号获取第二曲线,所述第二曲线为在所述第一时间段内的PPG信号的包络线;A first curve is obtained based on the ECG signal in the first time period, the first curve is used to describe the sparseness of the interval RRI between the R wave and the R wave in the ECG signal in the first time period density change, obtaining a second curve based on the PPG signal in the first time period, where the second curve is an envelope of the PPG signal in the first time period;
    确定所述第一曲线与所述第二曲线具有相关性,则确定在所述第一时间段内的ECG信号与在所述第一时间段内的PPG信号具有相关性。It is determined that the first curve has a correlation with the second curve, then it is determined that the ECG signal in the first time period has a correlation with the PPG signal in the first time period.
  2. 如权利要求1所述的方法,其特征在于,确定所述第一曲线与所述第二曲线具有相关性,包括:The method of claim 1, wherein determining that the first curve has a correlation with the second curve comprises:
    计算所述第一曲线与所述第二曲线的相关系数;calculating the correlation coefficient between the first curve and the second curve;
    在所述相关系数大于预设阈值时,确定所述第一曲线与所述第二曲线具有相关性。When the correlation coefficient is greater than a preset threshold, it is determined that the first curve and the second curve have a correlation.
  3. 如权利要求1或2所述的方法,其特征在于,还包括:The method of claim 1 or 2, further comprising:
    基于在所述第一时间段内的ECG信号获取至少一个第一特征参数,所述第一特征参数指示在所述第一时间段内的ECG信号中的RRI的统计学特征;Obtaining at least one first characteristic parameter based on the ECG signal in the first time period, the first characteristic parameter indicating a statistical characteristic of RRI in the ECG signal in the first time period;
    确定在所述第一时间段内的ECG信号与在所述第一时间段内的PPG信号具有相关性,包括:Determining that the ECG signal during the first time period is correlated with the PPG signal during the first time period includes:
    若所述至少一个第一特征参数中的任意一个或多个第一特征参数满足相应的预设条件,且所述第一曲线与所述第二曲线具有相关性,确定在所述第一时间段内的ECG信号与在所述第一时间段内的PPG信号具有相关性。If any one or more of the at least one first characteristic parameter satisfies the corresponding preset condition, and the first curve and the second curve are correlated, it is determined that at the first time The ECG signal in the segment has a correlation with the PPG signal in the first time segment.
  4. 如权利要求1或2所述的方法,其特征在于,还包括:The method of claim 1 or 2, further comprising:
    基于在所述第一时间段内的PPG信号获取至少一个第二特征参数,所述第二特征参数指示在所述第一时间段内的PPG信号所对应的呼吸特征;Obtain at least one second characteristic parameter based on the PPG signal in the first time period, the second characteristic parameter indicating a breathing characteristic corresponding to the PPG signal in the first time period;
    确定在所述第一时间段内的ECG信号与在所述第一时间段内的PPG信号具有相关性,包括:Determining that the ECG signal during the first time period is correlated with the PPG signal during the first time period includes:
    若所述至少一个第二特征参数中的任意一个或多个第二特征参数满足相应的预设条件,且所述第一曲线与所述第二曲线具有相关性,确定在所述第一时间段内的ECG信号与在所述第一时间段内的PPG信号具有相关性。If any one or more of the at least one second characteristic parameter satisfies the corresponding preset condition, and the first curve and the second curve are correlated, it is determined that at the first time The ECG signal in the segment has a correlation with the PPG signal in the first time segment.
  5. 如权利要求1-4任一项所述的方法,其特征在于,所述包络线为在所述第一时间段内的PPG信号中的PPG峰值的包络线,或在所述第一时间段内的PPG信号中的PPG谷值的包络线,或在所述第一时间段内的PPG信号的平均幅值的包络线。The method according to any one of claims 1-4, wherein the envelope is an envelope of a PPG peak value in the PPG signal in the first time period, or an envelope in the first time period The envelope of the PPG valleys in the PPG signal in the time period, or the envelope of the average amplitude of the PPG signal in the first time period.
  6. 如权利要求1-5任一项所述的方法,其特征在于,还包括:The method of any one of claims 1-5, further comprising:
    获取在第二时间段内的ECG信号,其中,所述第二时间段在所述第一时间段之前;acquiring an ECG signal during a second time period, wherein the second time period precedes the first time period;
    基于在所述第二时间段内的ECG信号确定至少一个第三特征参数,所述第三特征参数指示在所述第二时间段内的ECG信号的RRI统计学特征;determining at least one third characteristic parameter based on the ECG signal during the second time period, the third characteristic parameter indicating an RRI statistical characteristic of the ECG signal during the second time period;
    在所述至少一个第三特征参数中的任意一个或多个第三特征参数满足相应的预设条件时,确定启动获取在所述第一时间段内的ECG信号和在所述第一时间段内的PPG信号。When any one or more of the at least one third characteristic parameter satisfies a corresponding preset condition, it is determined to start the acquisition of the ECG signal in the first time period and the acquisition of the ECG signal in the first time period within the PPG signal.
  7. 如权利要求1-5任一项所述的方法,其特征在于,还包括The method of any one of claims 1-5, further comprising
    在加速度传感器的数据指示状态值大于预设状态值时,确定启动获取在所述第一时间段内的ECG信号和在所述第一时间段内的PPG信号。When the data of the acceleration sensor indicates that the state value is greater than the preset state value, it is determined to start acquiring the ECG signal within the first time period and the PPG signal within the first time period.
  8. 一种可穿戴设备,其特征在于,该设备包括:A wearable device, characterized in that the device comprises:
    ECG信号检测模组,用于采集在第一时间段内的心电图ECG信号;The ECG signal detection module is used to collect the ECG signal of the electrocardiogram in the first time period;
    PPG信号检测模组,用于采集在所述第一时间段内的光电容积脉搏波PPG信号;The PPG signal detection module is used to collect the photoplethysmographic PPG signal in the first time period;
    处理器,用于基于在所述第一时间段内的ECG信号获取第一曲线,所述第一曲线用于描述在所述第一时间段内的ECG信号中的R波与R波之间的间隔RRI的疏密变化,基于在所述第一时间段内的PPG信号获取第二曲线,所述第二曲线为在所述第一时间段内的PPG信号的包络线;在所述第一曲线与所述第二曲线具有相关性时,确定在所述第一时间段内的ECG信号与在所述第一时间段内的PPG信号具有相关性。a processor, configured to obtain a first curve based on the ECG signal in the first time period, the first curve being used to describe the relationship between the R wave and the R wave in the ECG signal in the first time period The density change of the interval RRI is obtained based on the PPG signal in the first period of time to obtain a second curve, the second curve is the envelope of the PPG signal in the first period of time; When the first curve has a correlation with the second curve, it is determined that the ECG signal in the first time period has a correlation with the PPG signal in the first time period.
  9. 如权利要求8所述的设备,其特征在于,所述处理器还用于:在确定所述第一曲线与所述第二曲线具有相关性时,计算所述第一曲线与所述第二曲线的相关系数;在所述相关系数大于预设阈值时,确定所述第一曲线与所述第二曲线具有相关性。The device of claim 8, wherein the processor is further configured to: when it is determined that the first curve and the second curve have a correlation, calculate the first curve and the second curve The correlation coefficient of the curve; when the correlation coefficient is greater than a preset threshold, it is determined that the first curve and the second curve have a correlation.
  10. 如权利要求8或9所述的设备,其特征在于,所述处理器还用于:基于在所述第一时间段内的ECG信号获取至少一个第一特征参数,所述第一特征参数指示在所述第一时间段内的ECG信号中的RRI的统计学特征;在确定在所述第一时间段内的ECG信号与在所述第一时间段内的PPG信号具有相关性时,若所述至少一个第一特征参数中的任意一个或多个第一特征参数满足相应的预设条件,且所述第一曲线与所述第二曲线具有相关性,确定在所述第一时间段内的ECG信号与在所述第一时间段内的PPG信号具有相关性。The device according to claim 8 or 9, wherein the processor is further configured to: acquire at least one first characteristic parameter based on the ECG signal within the first time period, the first characteristic parameter indicating Statistical characteristics of RRI in the ECG signal in the first time period; when determining that the ECG signal in the first time period has a correlation with the PPG signal in the first time period, if Any one or more first characteristic parameters of the at least one first characteristic parameter satisfy corresponding preset conditions, and the first curve and the second curve are correlated, and it is determined that the first time period is The ECG signal within the first time period has a correlation with the PPG signal within the first time period.
  11. 如权利要求8或9所述的设备,其特征在于,所述处理器还用于:基于在所述第一时间段内的PPG信号获取至少一个第二特征参数,所述第二特征参数指示在所述第一时间段内的PPG信号所对应的呼吸特征;在确定在所述第一时间段内的ECG信号与在所述第一时间段内的PPG信号具有相关性时,若所述至少一个第二特征参数中的任意一个或多个第二特征参数满足相应的预设条件,且所述第一曲线与所述第二曲线具有相关性,确定在所述第一时间段内的ECG信号与在所述第一时间段内的PPG信号具有相关性。The device according to claim 8 or 9, wherein the processor is further configured to: acquire at least one second characteristic parameter based on the PPG signal within the first time period, the second characteristic parameter indicating Respiratory characteristics corresponding to the PPG signal in the first time period; when it is determined that the ECG signal in the first time period has a correlation with the PPG signal in the first time period, if the Any one or more of the at least one second characteristic parameter satisfies the corresponding preset condition, and the first curve and the second curve are correlated, and it is determined that the The ECG signal has a correlation with the PPG signal during the first time period.
  12. 如权利要求8-11任一项所述的设备,其特征在于,所述包络线为在所述第一时间段内的PPG信号中的PPG峰值的包络线,或在所述第一时间段内的PPG信号中的PPG谷值的包络线,或在所述第一时间段内的PPG信号的平均幅值的包络线。The device according to any one of claims 8-11, wherein the envelope is an envelope of a PPG peak value in the PPG signal in the first time period, or an envelope in the first time period The envelope of the PPG valleys in the PPG signal in the time period, or the envelope of the average amplitude of the PPG signal in the first time period.
  13. 如权利要求8-12任一项所述的设备,其特征在于,所述ECG信号检测模组还用于获取在第二时间段内的ECG信号,其中,所述第二时间段在所述第一时间段之前;The device according to any one of claims 8-12, wherein the ECG signal detection module is further configured to acquire the ECG signal in a second time period, wherein the second time period is in the before the first time period;
    所述处理器还用于:基于在所述第二时间段内的ECG信号确定至少一个第三特征参数,所述第三特征参数指示在所述第二时间段内的ECG信号的RRI统计学特征;在所述至少一个第三特征参数中的任意一个或多个第三特征参数满足相应的预设条件时,控制所述ECG信号检测模组采集在所述第一时间段内的ECG信号以及所述PPG信号检测模组采集在所述第一时间段内的PPG信号。The processor is further configured to: determine at least one third characteristic parameter based on the ECG signal during the second time period, the third characteristic parameter indicating RRI statistics of the ECG signal during the second time period feature; when any one or more of the at least one third feature parameter satisfies a corresponding preset condition, control the ECG signal detection module to collect the ECG signal within the first time period and the PPG signal detection module collects the PPG signal in the first time period.
  14. 如权利要求8-12任一项所述的设备,其特征在于,所述设备还包括加速度传感器;The device according to any one of claims 8-12, wherein the device further comprises an acceleration sensor;
    所述处理器还用于:在加速度传感器的状态值大于预设状态值时,控制所述ECG信号检测模组采集在所述第一时间段内的ECG信号以及所述PPG信号检测模组采集在所述第一时间段内的PPG信号。The processor is further configured to: control the ECG signal detection module to collect the ECG signal and the PPG signal detection module within the first time period when the state value of the acceleration sensor is greater than the preset state value PPG signal during the first time period.
  15. 一种通信装置,其特征在于,包括用于执行如权利要求1至7中的任一项所述方法的模块。A communication device, characterized by comprising a module for performing the method of any one of claims 1 to 7.
  16. 一种通信装置,其特征在于,包括处理器和接口电路,所述接口电路用于接收来自所述通信装置之外的其它通信装置的信号并传输至所述处理器或将来自所述处理器的信号发送给所述通信装置之外的其它通信装置,所述处理器通过逻辑电路或执行代码指令用于实现如权利要求1至7中任一项所述的方法。A communication device, characterized by comprising a processor and an interface circuit, wherein the interface circuit is configured to receive signals from other communication devices other than the communication device and transmit to the processor or transfer signals from the processor The signal is sent to other communication devices other than the communication device, and the processor is used to implement the method according to any one of claims 1 to 7 by means of a logic circuit or executing code instructions.
  17. 一种计算机可读存储介质,其特征在于,所述存储介质中存储有计算机程序或指令,当所述计算机程序或指令被通信装置执行时,实现如权利要求1至7中任一项所述的方法。A computer-readable storage medium, characterized in that, a computer program or instruction is stored in the storage medium, and when the computer program or instruction is executed by a communication device, any one of claims 1 to 7 is implemented. Methods.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101528126A (en) * 2006-12-21 2009-09-09 弗雷森纽斯医疗护理德国有限责任公司 Method and device for the determination of breath frequency
CN204293140U (en) * 2014-10-12 2015-04-29 吴健康 A kind of HRV biofeedback rehabilitation device
CN105193431A (en) * 2015-09-02 2015-12-30 杨静 Device for analyzing mental stress state of human body
US20170128735A1 (en) * 2015-11-02 2017-05-11 West Affum Holdings Corp. Wearable cardioverter defibrillator (wcd) causing patient's qrs width to be plotted against the heart rate
CN206792400U (en) * 2017-01-16 2017-12-26 吉林东华原医疗设备有限责任公司 HRV detection means

Family Cites Families (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8512240B1 (en) * 2007-11-14 2013-08-20 Medasense Biometrics Ltd. System and method for pain monitoring using a multidimensional analysis of physiological signals
CN101841561A (en) * 2010-04-06 2010-09-22 四川东林科技有限公司 Intelligent mobile personal health data monitoring system and method
EP3400873A1 (en) * 2013-06-28 2018-11-14 Murata Manufacturing Co., Ltd. Biological state estimating apparatus
KR101503604B1 (en) * 2013-09-30 2015-03-17 길영준 Wearable type System for realtime monitoring blood pressure estimation and Method for controlling the same
CN105813545A (en) * 2013-11-22 2016-07-27 Mc10股份有限公司 Conformal sensor systems for sensing and analysis of cardiac activity
US11357413B2 (en) * 2014-03-06 2022-06-14 Healthy.Io Ltd. Methods and apparatus for self-calibrating non-invasive cuffless blood pressure measurements
US10743818B2 (en) * 2014-08-25 2020-08-18 Drägerwerk AG & Co. KGaA Rejecting noise in a signal
US10201312B2 (en) * 2014-12-08 2019-02-12 Intel Corporation Opportunistic measurements and processing of user's context
CN204515353U (en) * 2015-03-31 2015-07-29 深圳市长桑技术有限公司 A kind of intelligent watch
CN204839505U (en) * 2015-01-26 2015-12-09 周常安 Wearing formula physiology detection device
JP6486707B2 (en) * 2015-02-18 2019-03-20 株式会社メガチップス Blood pressure measurement device
CN105595979A (en) * 2016-01-21 2016-05-25 中山大学 Noninvasive and continuous blood pressure monitoring method and device based on pulse wave propagation time
US11589758B2 (en) * 2016-01-25 2023-02-28 Fitbit, Inc. Calibration of pulse-transit-time to blood pressure model using multiple physiological sensors and various methods for blood pressure variation
CN105943005B (en) * 2016-06-01 2019-08-06 合肥芯福传感器技术有限公司 The non-invasive blood pressure detection device mixed based on photoelectricity green light pulse with electrocardiogram
FR3053238A1 (en) * 2016-06-30 2018-01-05 Universite D'aix-Marseille METHOD FOR DETECTING AT LEAST ONE HEART RHYTHM DISORDER
CN109316181A (en) * 2018-10-19 2019-02-12 深圳市瑞康宏业科技开发有限公司 Ecg signal acquiring apparatus control method, device, equipment and storage medium
CN111419219A (en) * 2019-01-09 2020-07-17 成都心吉康科技有限公司 PPG heart beat signal preprocessing method and device and atrial fibrillation detection equipment
CN110477900A (en) * 2019-08-20 2019-11-22 赣州市立医院 A kind of arteriosclerosis estimating method, apparatus and atherosclerosis detector
CN111248881B (en) * 2020-02-21 2022-08-02 乐普(北京)医疗器械股份有限公司 Method and device for predicting blood pressure

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101528126A (en) * 2006-12-21 2009-09-09 弗雷森纽斯医疗护理德国有限责任公司 Method and device for the determination of breath frequency
US20100004552A1 (en) * 2006-12-21 2010-01-07 Fresenius Medical Care Deutschland Gmbh Method and device for the determination of breath frequency
CN204293140U (en) * 2014-10-12 2015-04-29 吴健康 A kind of HRV biofeedback rehabilitation device
CN105193431A (en) * 2015-09-02 2015-12-30 杨静 Device for analyzing mental stress state of human body
US20170128735A1 (en) * 2015-11-02 2017-05-11 West Affum Holdings Corp. Wearable cardioverter defibrillator (wcd) causing patient's qrs width to be plotted against the heart rate
CN206792400U (en) * 2017-01-16 2017-12-26 吉林东华原医疗设备有限责任公司 HRV detection means

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