CN115153467A - Health monitoring system and method - Google Patents
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
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Abstract
The invention discloses a health monitoring system and a method, comprising the following steps: the data acquisition module is used for acquiring vital sign signals of a tested human body; the data processing module is configured to extract waveforms of vital sign signals according to different frequency characteristics of the vital sign signals to obtain heart rate data and respiration rate data, transmit the heart rate data and the respiration rate data to the cloud platform, receive alarm information and voice interaction instructions fed back by the cloud platform, generate alarm voice according to the alarm information, and send the alarm voice to the voice interaction module according to the voice interaction instructions; the cloud platform is used for judging the physical sign state according to the heart rate data and the respiration rate data and feeding back alarm information and a voice interaction instruction to the data processing module according to a judgment result; the voice interaction module is used for receiving and playing alarm voice. The multi-dimensional health monitoring is realized, corresponding health assessment is given, early warning is given in time aiming at potential risks, and risk prompt is given.
Description
Technical Field
The invention relates to the technical field of intelligent health care, in particular to a health monitoring system and a health monitoring method.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
At present, one or more kinds of body state information can be monitored through products such as an intelligent blood glucose meter and an intelligent sphygmomanometer, data interaction can be carried out on the mobile terminal through a wireless network and an intelligent mobile phone, and a user can know the body state of the user visually through the mobile terminal conveniently.
However, although the above products implement monitoring of one or more kinds of physical state information, the above products can only present monitoring data to the user, and cannot provide corresponding measures for the user in response to abnormal physical state information when the physical state of the user is abnormal, and especially when the medical monitoring is performed on a patient suffering from an emergency disease or inconvenient actions, the existing medical intelligent hardware products cannot provide emergency rescue measures for the patient or people around the patient in response to the emergency.
When the health state is monitored through the Internet of things equipment, only single parameter is analyzed, health intervention cannot be well formed, and the problems that the monitoring parameter is single, the health intervention guidance pertinence is not strong and the like exist.
Disclosure of Invention
In order to solve the problems, the invention provides a health monitoring system and a health monitoring method, which realize multi-dimensional health monitoring and corresponding health assessment, and timely send out early warning and give a risk prompt aiming at potential risks.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the present invention provides a healthcare system, comprising:
the data acquisition module is used for acquiring vital sign signals of a tested human body;
the data processing module is configured to extract waveforms of the vital sign signals according to different frequency characteristics of the vital sign signals to obtain heart rate data and respiration rate data, transmit the heart rate data and the respiration rate data to the cloud platform, receive alarm information and a voice interaction instruction fed back by the cloud platform, generate alarm voice according to the alarm information, and send the alarm voice to the voice interaction module according to the voice interaction instruction;
the cloud platform is used for judging the physical sign state according to the heart rate data and the respiratory rate data and feeding back alarm information and a voice interaction instruction to the data processing module according to a judgment result;
the voice interaction module is used for receiving and playing alarm voice.
As an alternative embodiment, the process of waveform extracting the vital sign signal comprises: performing FFT processing on the vital sign signals to perform time domain to frequency domain conversion; filtering with specific band-pass frequency by adopting two different band-pass frequencies to obtain heartbeat waveforms and respiration waveforms; and carrying out extremum search on the obtained heartbeat waveform and the obtained respiration waveform so as to identify the heartbeat number and the respiration number in each segment of waveform, and calculating the heart rate and the respiration rate.
As an alternative embodiment, before the processing of the vital sign signals, the vital sign signals are amplified, the amplified vital sign signals are divided into low-pass data analog signals and high-pass data analog signals, and the low-pass data analog signals and the high-pass data analog signals are converted into low-pass data digital signals and high-pass data digital signals by an analog/digital converter.
As an alternative embodiment, the process of searching for the extremum of the obtained heartbeat waveform and respiration waveform includes: and searching extrema for the heartbeat waveform and the respiration waveform in a sliding window mode, filtering the extrema and storing the filtered extrema into an extrema array.
As an alternative embodiment, the heart rate and the breathing rate are calculated based on the number of extreme points in the extreme value array.
As an alternative embodiment, the cloud platform is further configured to generate a health report including an activity status indicator, a basic physiological indicator, a depth analysis indicator, and a disease risk factor.
As an alternative embodiment, the alarm information includes an action alarm and a physiological index abnormality alarm, the action alarm includes a bed-leaving overtime alarm, a suspected syncope alarm and an activity alarm, and the physiological index abnormality alarm includes a bradycardia alarm, a tachycardia alarm, a bradycardia alarm, a tachypnea alarm, a transient apnea alarm and an HRV index abnormality alarm.
In a second aspect, the present invention provides a health monitoring method, including:
acquiring vital sign signals of a detected human body;
according to different frequency characteristics of the vital sign signals, performing waveform extraction on the vital sign signals to obtain heart rate data and respiratory rate data;
judging the physical sign state according to the heart rate data and the respiration rate data, and feeding back alarm information and a voice interaction instruction according to a judgment result;
and generating an alarm voice according to the alarm information, and sending the alarm voice to a voice interaction module for playing according to a voice interaction instruction.
In a third aspect, the present invention provides an electronic device comprising a memory and a processor, and computer instructions stored on the memory and executed on the processor, wherein when the computer instructions are executed by the processor, the method of the second aspect is performed.
In a fourth aspect, the present invention provides a computer readable storage medium for storing computer instructions which, when executed by a processor, perform the method of the second aspect.
Compared with the prior art, the invention has the beneficial effects that:
according to the health monitoring system and the health monitoring method, vital sign signals such as heart rate, respiration and pulse are collected, continuously monitored index parameters are transmitted to the cloud platform through the data processing module, the cloud platform stores the received data and carries out intelligent analysis, an individual index system is gradually formed, and a user can check health reports in real time through the handheld terminal.
The health monitoring system and the method provided by the invention realize multi-dimensional health monitoring and give out corresponding health assessment, and timely send out early warning and give out risk prompt aiming at potential risks.
Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
Fig. 1 is a schematic view of a health monitoring system according to embodiment 1 of the present invention;
fig. 2 is a waveform diagram of a vital sign signal provided in embodiment 1 of the present invention;
FIG. 3 is a flowchart of waveform extraction provided in embodiment 1 of the present invention;
fig. 4 is a diagram of a heartbeat waveform after FFT filtering provided in embodiment 1 of the present invention;
FIG. 5 is a diagram of a FFT filtered respiration waveform provided in embodiment 1 of the present invention;
fig. 6 is an extreme graph of heartbeat data provided in embodiment 1 of the present invention;
fig. 7 is an extreme graph of respiration data provided in example 1 of the present invention.
Detailed Description
The invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, and it should be understood that the terms "comprises" and "comprising", and any variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
Example 1
The embodiment provides a health monitoring system, which provides a health monitoring system with comprehensive functions, comfort, no feeling, continuous monitoring and convenient interaction and health condition assessment for a user. The method comprises the following steps: the system comprises a data acquisition module, a voice interaction module, a data processing module, a cloud platform and a user terminal; as shown in fig. 1, wherein:
the data acquisition module is used for acquiring vital sign signals of a tested human body; including heart rate, respiration and pulse, and transmitting to the data processing module;
the mechanical signals of heartbeat, respiration, pulse and the like have certain frequency characteristics, can represent the physical sign state of a tested human body, and after the mechanical signals are collected, the mechanical waveforms are converted into electrical waveforms to extract the vital sign signals of the tested human body, as shown in fig. 2.
As an alternative implementation mode, a piezoelectric sensor made of a piezoelectric film is used for acquiring vital sign signals of a tested human body; the pillow, the mattress, the cushion and the like can be used as carriers and indirectly contacted with a human body, when vital sign signals of the human body are transmitted to the surface of the piezoelectric film through a medium, the film converts mechanical waveforms into electrical waveforms, and therefore body movement information of the human body is extracted.
Furthermore, the voltage variation range of the piezoelectric film sensor is-100 mV to 100mV, and the collected vibration strength outputs a vital sign analog signal.
In this embodiment, the data processing module is configured to extract waveforms of the vital sign signals according to different frequency characteristics of the vital sign signals to obtain heart rate waveforms, respiration waveforms and pulse waveforms to obtain heart rate data and respiration rate data, transmit the obtained heart rate data and respiration rate data to the cloud platform, receive alarm information and a voice interaction instruction fed back by the cloud platform, generate alarm voice according to the alarm information, and send the alarm voice to the voice interaction module according to the voice interaction instruction.
In the present embodiment, as shown in fig. 3, the waveform extraction process includes:
(1) The amplifier is connected with the data acquisition module and is used for amplifying the vital sign signals;
specifically, the upper and lower amplitudes of the vital sign signal are both within the acquisition range of the analog-to-digital converter through the amplification processing of the amplifier.
(2) The filter circuit is connected with the amplifier and is used for dividing the vital sign signals after amplification processing into low-pass data analog signals and high-pass data analog signals;
(3) The analog-to-digital converter is connected with the filter circuit and is used for converting the low-pass data analog signal and the high-pass data analog signal into a low-pass data digital signal and a high-pass data digital signal;
(4) A control unit connected with the analog/digital converter;
1) Acquiring a low-pass data digital signal and a high-pass data digital signal at a specific frequency, taking the low-pass data digital signal and the high-pass data digital signal as original data, and performing FFT (fast Fourier transform) processing on the original data to convert the original data from a time domain to a frequency domain;
2) Filtering the frequency domain data at a specific band-pass frequency by using two different band-pass frequencies to obtain a heartbeat waveform and a respiration waveform, as shown in fig. 4 to 5;
as an alternative embodiment, after the heartbeat component and the respiratory component are obtained by setting different band-pass filtering frequencies, the data is restored by using inverse FFT to obtain the heartbeat waveform and the respiratory waveform.
As an alternative embodiment, the control unit collects the low-pass data digital signal and the high-pass data digital signal as raw data at a frequency of 200Hz and pushes the collected raw data into a loop array.
As an alternative embodiment, two different band pass frequencies are again used, with a band pass frequency of 2Hz-10Hz to extract heartbeats and a band pass frequency of 0.1Hz-0.5Hz to extract breaths.
3) Performing extremum search on the obtained heartbeat waveform and respiration waveform to identify and judge the heartbeat number and the respiration number in each segment of waveform, as shown in fig. 6-7;
specifically, extrema are searched for the heart hop count in a sliding window mode respectively, and a maximum value and a minimum value in an array where the extrema are located are found out;
filtering the maximum value and the minimum value by a maximum value and minimum value comparison method, and storing the remaining points into an extreme value array after eliminating the points which do not meet the conditions from the maximum value;
alternatively, the window size may be adjusted to compare 60ms of data per window size, with reference to the sample rate, and taking into account the range of heart rates being monitored.
4) For the respiratory data, searching the extreme value in the array where the respiratory data is currently located in a sliding window mode in a similar mode to the mode, wherein the window size is set to be 500ms; and comparing the maximum value with the subsequent minimum value for no more than 500ms, and determining that the interval between the minimum value and the previous maximum value is no less than 100ms, and storing the filtered extreme value points into an extreme value array.
5) Calculating heart rate and respiration rate, respectively analyzing the heartbeat waveform data and the respiration waveform data obtained by filtering, and extracting heart rate data and respiration rate data;
specifically, a heart rate and a breathing rate are calculated; calculating the heart rate by using the number of the extreme points in the extreme value array, namely, converting the length of the original data array into time according to the sampling rate, dividing the number of the found maximum values by the time, and multiplying the number by 60 seconds/minute:
the respiratory rate calculation mode is the same, the length of the original data array is converted into time according to the sampling rate, the number of the searched maximum values is divided by the time, and the time is multiplied by 60 seconds/minute:
in this embodiment, the data processing module transmits the processed data to the cloud platform by using an MQTT protocol transmission mode, acquires alarm information sent by the cloud platform, obtains alarm voice information based on voice recognition and a synthesis algorithm according to the alarm information, and transmits the alarm voice information to the voice interaction module to be broadcasted to a user for timely health intervention.
In this embodiment, the cloud platform is configured to determine a sign state according to the heart rate data and the respiration rate data, and feed back alarm information and a voice interaction instruction to the data processing module according to a determination result;
specifically, data are analyzed based on a mathematical model established by a neural network, and specific body movement characteristics of a human body, such as arrhythmia, transient respiration stop, atrial fibrillation, heart failure and the like, are analyzed by combining different waveform forms;
through MQTT transport protocol, the physiological index abnormity alarm is pushed to the data processing module, and the method comprises the following steps: the alarm system is used for alarming actions such as bed leaving overtime alarm, suspected syncope alarm, activity alarm and the like, bradycardia alarm, tachycardia alarm, bradycardia alarm, breathlessness alarm, transient breathing stopping alarm, HRV index abnormity alarm and the like.
The cloud platform also stores long-term and multi-dimensional health data of the user through a database, forms a personal health record and pushes a personal health report; the health report comprises activity state indexes of people, no people and body movement in the sleeping process, basic physiological indexes of wave-by-wave heart rate and wave-by-wave respiration rate, deep analysis indexes of heart rate variability SDNN, SDANN, RMSSD and the like, and risk coefficients of chronic diseases such as atrial fibrillation, heart failure and the like.
The cloud platform composition framework is used for storing and processing data and exporting various services, and the data storage and processing is used for storing long-term and multidimensional health data uploaded by a data processing, analyzing and integrating terminal through a database and forming a personal health record; the mathematical model established by the neural network analyzes user data, sends health alarm to the data processing analysis integration terminal, and leads out personal health report to the platform user; the health alarm is divided into action alarm and physiological index abnormity alarm, and the action alarm comprises the following steps: the bed-leaving overtime alarm, the suspected faint alarm and the activity alarm, and the physiological index abnormity alarm comprises the following steps: bradycardia alarm, tachycardia alarm, bradycardia alarm, dyspnea alarm, transient respiration stopping alarm, HRV index abnormity alarm and the like.
In this embodiment, the voice interaction module is configured to receive an alarm voice and play the alarm voice; using a microphone array and a sound as an interactive tool; the microphone array is used for collecting the instant help seeking of the user and sending an alarm signal through the data processing module; the voice interaction module plays voice broadcasting suggestion guidance through the sound box.
In the embodiment, the user terminal receives the health report and the rationalized medical advice pushed by the cloud platform through a mobile phone, a tablet personal computer and other handheld device terminals; and the system can also realize communication connection with a hospital system to realize appointment registration, expert inquiry, emergency rescue and the like.
In further embodiments, there is also provided a healthcare method, comprising:
acquiring vital sign signals of a detected human body;
according to different frequency characteristics of the vital sign signals, performing waveform extraction on the vital sign signals to obtain heart rate data and respiratory rate data;
judging the physical sign state according to the heart rate data and the respiration rate data, and feeding back alarm information and a voice interaction instruction according to a judgment result;
and generating an alarm voice according to the alarm information, and sending the alarm voice to a voice interaction module for playing according to a voice interaction instruction.
In further embodiments, there is also provided:
an electronic device comprising a memory and a processor and computer instructions stored on the memory and executed on the processor, the computer instructions when executed by the processor performing the method described in embodiment 2. For brevity, no further description is provided herein.
It should be understood that in this embodiment, the processor may be a central processing unit CPU, and the processor may also be other general purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate arrays FPGA or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and so on. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may include both read-only memory and random access memory, and may provide instructions and data to the processor, and a portion of the memory may also include non-volatile random access memory. For example, the memory may also store device type information.
A computer readable storage medium storing computer instructions which, when executed by a processor, perform the method described in embodiment 2.
The method in embodiment 2 may be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules in the processor. The software modules may be located in ram, flash, rom, prom, or eprom, registers, among other storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor. To avoid repetition, it is not described in detail here.
Those of ordinary skill in the art will appreciate that the various illustrative elements, i.e., algorithm steps, described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive changes in the technical solutions of the present invention.
Claims (10)
1. A healthcare system, comprising: the system comprises a data acquisition module, a data processing module, a cloud platform and a voice interaction module;
the data acquisition module is used for acquiring vital sign signals of a tested human body;
the data processing module is configured to extract waveforms of vital sign signals according to different frequency characteristics of the vital sign signals to obtain heart rate data and respiration rate data, transmit the heart rate data and the respiration rate data to the cloud platform, receive alarm information and voice interaction instructions fed back by the cloud platform, generate alarm voice according to the alarm information, and send the alarm voice to the voice interaction module according to the voice interaction instructions;
the cloud platform is used for judging the physical sign state according to the heart rate data and the respiration rate data and feeding back alarm information and a voice interaction instruction to the data processing module according to a judgment result;
the voice interaction module is used for receiving and playing alarm voice.
2. The healthcare system of claim 1, wherein the process of waveform extracting the vital sign signal comprises: performing FFT processing on the vital sign signals to perform time domain to frequency domain conversion; filtering with specific band-pass frequency by adopting two different band-pass frequencies to obtain heartbeat waveforms and respiration waveforms; and carrying out extremum search on the obtained heartbeat waveform and the obtained respiration waveform so as to identify the heartbeat number and the respiration number in each segment of waveform, and calculating the heart rate and the respiration rate.
3. The healthcare system of claim 2, wherein the vital sign signals are amplified before being processed, the amplified vital sign signals are divided into low-pass data analog signals and high-pass data analog signals, and the low-pass data analog signals and the high-pass data analog signals are converted into low-pass data digital signals and high-pass data digital signals by an analog-to-digital converter.
4. The healthcare system of claim 2, wherein the process of searching for extrema in the derived heartbeat and respiration waveforms comprises: and searching extrema for the heartbeat waveform and the respiration waveform in a sliding window mode, filtering the extrema and storing the filtered extrema into an extrema array.
5. The healthcare system of claim 4, wherein the heart rate and the respiration rate are calculated based on the number of extremum points in the extremum array.
6. The healthcare system of claim 1, wherein the cloud platform is further configured to generate a health report including an activity status indicator, a basic physiological indicator, a depth analysis indicator, and a disease risk factor.
7. The healthcare system of claim 1, wherein the alarm information includes an action alarm and a physiological index abnormality alarm, the action alarm includes a bed exit timeout alarm, a suspected syncope alarm, and an activity alarm, and the physiological index abnormality alarm includes a bradycardia alarm, a tachycardia alarm, a bradycardia alarm, a breathlessness alarm, a shortness of breath alarm, and an HRV index abnormality alarm.
8. A method of healthcare, comprising:
acquiring vital sign signals of a detected human body;
according to different frequency characteristics of the vital sign signals, performing waveform extraction on the vital sign signals to obtain heart rate data and respiratory rate data;
judging the physical sign state according to the heart rate data and the respiration rate data, and feeding back alarm information and a voice interaction instruction according to a judgment result;
and generating alarm voice according to the alarm information, and sending the alarm voice to the voice interaction module for playing according to the voice interaction instruction.
9. An electronic device comprising a memory and a processor and computer instructions stored on the memory and executed on the processor, the computer instructions when executed by the processor performing the method of claim 8.
10. A computer-readable storage medium storing computer instructions which, when executed by a processor, perform the method of claim 8.
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| CN202210949025.0A CN115153467A (en) | 2022-08-09 | 2022-08-09 | Health monitoring system and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116807426A (en) * | 2023-07-24 | 2023-09-29 | 山东山科智心科技有限公司 | System based on photoelectric sensor vital sign signal acquisition and analysis |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116807426A (en) * | 2023-07-24 | 2023-09-29 | 山东山科智心科技有限公司 | System based on photoelectric sensor vital sign signal acquisition and analysis |
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