CN116807426A - System based on photoelectric sensor vital sign signal acquisition and analysis - Google Patents
System based on photoelectric sensor vital sign signal acquisition and analysis Download PDFInfo
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/053—Measuring electrical impedance or conductance of a portion of the body
- A61B5/0537—Measuring body composition by impedance, e.g. tissue hydration or fat content
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- A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
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- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
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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
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02416—Detecting, measuring or recording pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
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Abstract
The invention belongs to the field of health detection, and provides a system based on photoelectric sensor vital sign signal acquisition and analysis, which comprises the following modules, namely an FP430 control module; an FPGA processing module; an expansion module; a cloud platform end; an APP end; a PPG detection module; an ECG detection module; a body fat detection module; according to the invention, physiological signal characteristics of a human body are analyzed by combining the PPG signal and the ECG signal to obtain various human body parameters such as blood pressure, blood oxygen saturation, heart rate, pulse condition, respiratory rate, pulse wave conduction speed, arteriosclerosis index, anxiety index signal, body fat and body water ratio, health management of a whole family can be realized through face recognition, whole-process voice health detection and guidance are realized, timing voice reminding is realized, convenience is brought to personnel, measurement data can be uploaded to a cloud platform and APP through BLE, 4G and WIFI modes, and various communication modes improve convenient data transmission and use experience.
Description
Technical Field
The invention belongs to the field of health detection, and particularly relates to a system based on photoelectric sensor vital sign signal acquisition and analysis.
Background
Improvement of quality of life requirements: along with the increasing demands of people on life quality, attention to health is paid more and more, people hope to quickly and simply detect self health conditions in families and discover potential health problems in time so as to take corresponding measures for prevention and treatment;
however, when the existing human body vital sign signal acquisition and measurement work is carried out, the measurement parameters are fewer, the parameter accuracy is not ideal, the data reading mode is single, the user can not conveniently realize the health management of the whole family, and the personnel can not conveniently use the system.
Disclosure of Invention
In order to solve the technical problems, the invention provides a system based on photoelectric sensor vital sign signal acquisition and analysis, which aims to solve the problems of less measurement parameters, unsatisfactory parameter accuracy, single data reading mode, inconvenience for personnel to use and the like in the prior art.
A system based on photoelectric sensor vital sign signal acquisition and analysis comprises the following modules,
the FP430 control module is used for controlling and managing the operation of the whole system;
the FPGA processing module is used for processing and analyzing signals from the PPG detection module and the ECG detection module;
the expansion module is used for connecting other equipment or expanding functions;
the cloud platform end is used for storing, processing and analyzing a large amount of data;
the APP end is used for displaying user data, so that a user can conveniently check and manage measurement data;
the PPG detection module is used for collecting human physiological signals, collecting light reflection signals of the skin surface through the photoelectric sensor, and obtaining blood pressure and heart rate information through analyzing the changes of the signals;
the ECG detection module is used for acquiring human physiological signals and acquiring heart rate and heart rhythm information by measuring electric signals generated by the heart;
the body fat detection module is used for detecting the body fat rate and the body water rate of a human body.
Preferably, the PPG detection module and the ECG detection module cooperate to detect blood pressure, blood oxygen saturation, heart rate, pulse condition, respiratory rate, pulse wave conduction velocity, arteriosclerosis index, anxiety index signals of the user, and support short-range heart rate variability analysis.
Preferably, the blood pressure measuring range is 30-200 mmHg, and after correct calibration, the error of the measuring result does not exceed +/-5 mmHg; the measurement range of the blood oxygen saturation is 85% -100%, and under the normal blood supply condition, the error of the measurement result does not exceed +/-2%; the heart rate is measured in a range of 30-250 bpm, the accuracy is +/-2 bpm in a range of 30-150 bpm, and is +/-3 bpm in a range of 151-250 bpm, and the error of the measurement result does not exceed +/-2 bpm or +/-3 bpm; the pulse condition is a composite pulse condition and is formed by combining two of 9 pulse conditions of slippery pulse, flat pulse, wiry pulse, rapid pulse, delayed pulse, slow pulse, rapid pulse, knotted pulse and stopping pulse; the measurement range of the respiratory rate is 6-60 times/min, and the error of the measurement result is +/-2 in the normal respiratory state; the measuring range of the pulse wave transmission speed is 0.6-9.9 m/s; the measurement range of the arteriosclerosis index is 1.0-9.9; the anxiety index is measured in the range of 0.1 to 9.9.
Preferably, the body fat detection module has a measurement accuracy of 1% for both body fat and body water.
Preferably, the FP430 control module receives and processes detection signals of the PPG detection module, the ECG detection module and the body fat detection module at the FPGA processing module, communicates with the FPGA processing module through the UART, and transmits data to the APP end and the cloud platform end through BLE, 4G and WIFI wireless communication modes after receiving the detection data.
Preferably, the FP430 control module develops and customizes applications and functions associated with the product via the SDK provided by the third party.
Preferably, the APP end comprises a registration login module, a voice guiding module, a face recognition module and a timing module;
the registration login module is used for registering user information or login use;
the voice guidance module is used for carrying out whole-course voice guidance prompt when the user carries out user information registration, user information login and health detection;
the face recognition module is used for collecting face image information of a user when the user registers the user information, comparing the recorded face image information with the face image of the user when the user registers, confirming the login when the face image accords with the face image, and refusing the login when the face image does not accord with the face image;
the timing module is used for prompting the user to perform detection and update of human body parameters through timing voice.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the invention, physiological signal characteristics of a human body are analyzed by combining the PPG signal and the ECG signal to obtain various human body parameters such as blood pressure, blood oxygen saturation, heart rate, pulse condition, respiratory rate, pulse wave conduction speed, arteriosclerosis index, anxiety index signal, body fat and body water ratio, health management of a whole family can be realized through face recognition, whole-process voice health detection and guidance are realized, timing voice reminding is realized, convenience is brought to personnel, measurement data can be uploaded to a cloud platform and APP through BLE, 4G and WIFI modes, and various communication modes improve convenient data transmission and use experience.
Drawings
FIG. 1 is a block diagram of a system module of the present invention;
fig. 2 is a block diagram of an APP end specific module of the present invention.
Detailed Description
Embodiments of the present invention are described in further detail below with reference to the accompanying drawings and examples. The following examples are illustrative of the invention but are not intended to limit the scope of the invention.
As shown in fig. 1 to 2:
embodiment one: the invention provides a system for collecting and analyzing vital sign signals based on a photoelectric sensor, which comprises the following modules,
the FP430 control module is used for controlling and managing the operation of the whole system;
the FPGA processing module is used for processing and analyzing signals from the PPG detection module and the ECG detection module;
the expansion module is used for connecting other equipment or expansion functions and can be connected with the other equipment or expansion functions through interfaces such as USB, HDMI, earphone and the like;
the cloud platform end is used for storing, processing and analyzing a large amount of data, and by uploading the measured data to the cloud platform, a user can access and manage own health data at any time and any place, and meanwhile, the user can remotely communicate and cooperate with professionals such as doctors, health managers and the like;
the APP end is used for displaying user data, so that a user can conveniently check and manage measurement data;
the PPG detection module is used for collecting human physiological signals, collecting light reflection signals of the skin surface through the photoelectric sensor, and obtaining blood pressure and heart rate information through analyzing the changes of the signals;
the ECG detection module is used for acquiring human physiological signals and acquiring heart rate and heart rhythm information by measuring electric signals generated by the heart;
the body fat detection module is used for detecting the body fat rate and the body water rate of a human body.
Specifically, the PPG detection module and the ECG detection module cooperate to detect the blood pressure, blood oxygen saturation, heart rate, pulse condition, respiratory rate, pulse wave conduction speed, arteriosclerosis index and anxiety index signals of the user, and support short-range heart rate variability analysis.
Specifically, the measuring range of the blood pressure is 30-200 mmHg, and after the correct calibration, the error of the measuring result does not exceed +/-5 mmHg; the measurement range of the blood oxygen saturation is 85% -100%, and under the normal blood supply condition, the error of the measurement result does not exceed +/-2%; the heart rate is measured in a range of 30-250 bpm, the accuracy is +/-2 bpm in a range of 30-150 bpm, and is +/-3 bpm in a range of 151-250 bpm, and the error of the measurement result does not exceed +/-2 bpm or +/-3 bpm; the pulse condition is a composite pulse condition and is formed by combining two of 9 pulse conditions of slippery pulse, flat pulse, wiry pulse, rapid pulse, delayed pulse, slow pulse, rapid pulse, knotted pulse and stopping pulse; the measurement range of the respiratory rate is 6-60 times/min, and the error of the measurement result is +/-2 in the normal respiratory state; the measuring range of the pulse wave transmission speed is 0.6-9.9 m/s; the measurement range of the arteriosclerosis index is 1.0-9.9; the anxiety index is measured in the range of 0.1 to 9.9.
Specifically, the body fat detection module measures the body fat rate and the body water rate with the accuracy of 1%.
Specifically, the FP430 control module receives and processes detection signals of the PPG detection module, the ECG detection module and the body fat detection module at the FPGA processing module, communicates with the FPGA processing module through the UART, and transmits data to the APP end and the cloud platform end through BLE, 4G and WIFI wireless communication modes after receiving the detection data.
Specifically, the FP430 control module develops and customizes applications and functions associated with the product via the SDK provided by the third party.
From the above, the PPG detection module and the ECG detection module cooperate to detect the blood pressure, blood oxygen saturation, heart rate, pulse condition, respiratory rate, pulse wave conduction speed, arteriosclerosis index and anxiety index signals of the user, and support short-range heart rate variability analysis, the body fat detection module can provide accurate measurement results of human parameters for the FPGA through combining with the analysis of signals of the PPG detection module, the body fat detection module and the ECG detection module, so as to meet the measurement requirements of the user on various human parameters, and the cloud platform end and the APP end can receive and store the measurement data in a BLE, 4G and WIFI wireless communication mode, so as to avoid data loss, display the measurement data, facilitate the user to check and manage, and improve convenient data transmission and use experience in various communication modes.
Embodiment two: the embodiment is basically the same as the previous embodiment, except that the APP end includes a registration login module, a voice guidance module, a face recognition module and a timing module;
the registration login module is used for registering user information or login use;
the voice guidance module is used for carrying out whole-course voice guidance prompt when the user carries out user information registration, user information login and health detection;
the face recognition module is used for collecting face image information of a user when the user registers the user information, comparing the recorded face image information with the face image of the user when the user registers, confirming the login when the face image accords with the face image, and refusing the login when the face image does not accord with the face image;
and the timing module is used for prompting the user to perform detection and update of the human body parameters through timing voice.
Working principle: after the registration login module is started, the voice guidance module can fully guide and prompt the user to use steps, the face image information of the user is collected and recorded through the face recognition module to finish registration login, the timing module can remind the user to perform health detection at intervals to update human parameter information, then the voice guidance module fully prompts the user to perform human parameter detection through the PPG detection module, the ECG detection module and the body fat detection module, accurate body information is transmitted to the FP430 control module after being processed through the FPGA processing module, the FP403 control module can respectively transmit data to the cloud platform end for classified storage and to the APP end for display, and the user can conveniently check and manage measurement data.
While embodiments of the present invention have been shown and described above for purposes of illustration and description, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (7)
1. A system based on photoelectric sensor vital sign signal acquisition analysis, its characterized in that: comprising the following modules, wherein the modules are arranged in a row,
the FP430 control module is used for controlling and managing the operation of the whole system;
the FPGA processing module is used for processing and analyzing signals from the PPG detection module and the ECG detection module;
the expansion module is used for connecting other equipment or expanding functions;
the cloud platform end is used for storing, processing and analyzing a large amount of data;
the APP end is used for displaying user data, so that a user can conveniently check and manage measurement data;
the PPG detection module is used for collecting human physiological signals, collecting light reflection signals of the skin surface through the photoelectric sensor, and obtaining blood pressure and heart rate information through analyzing the changes of the signals;
the ECG detection module is used for acquiring human physiological signals and acquiring heart rate and heart rhythm information by measuring electric signals generated by the heart;
the body fat detection module is used for detecting the body fat rate and the body water rate of a human body.
2. A system for optoelectronic sensor-based vital sign signal acquisition and analysis as set forth in claim 1, wherein: the PPG detection module and the ECG detection module can be matched to detect signals of blood pressure, blood oxygen saturation, heart rate, pulse condition, respiratory rate, pulse wave conduction speed, arteriosclerosis index and anxiety index of a user, and meanwhile short-range heart rate variability analysis is supported.
3. A system for optoelectronic sensor-based vital sign signal acquisition and analysis as set forth in claim 2, wherein: the measuring range of the blood pressure is 30-200 mmHg, and after the correct calibration, the error of the measuring result does not exceed +/-5 mmHg; the measurement range of the blood oxygen saturation is 85% -100%, and under the normal blood supply condition, the error of the measurement result does not exceed +/-2%; the heart rate is measured in a range of 30-250 bpm, the accuracy is +/-2 bpm in a range of 30-150 bpm, and is +/-3 bpm in a range of 151-250 bpm, and the error of the measurement result does not exceed +/-2 bpm or +/-3 bpm; the pulse condition is a composite pulse condition and is formed by combining two of 9 pulse conditions of slippery pulse, flat pulse, wiry pulse, rapid pulse, delayed pulse, slow pulse, rapid pulse, knotted pulse and stopping pulse; the measurement range of the respiratory rate is 6-60 times/min, and the error of the measurement result is +/-2 in the normal respiratory state; the measuring range of the pulse wave transmission speed is 0.6-9.9 m/s; the measurement range of the arteriosclerosis index is 1.0-9.9; the anxiety index is measured in the range of 0.1 to 9.9.
4. A system for optoelectronic sensor-based vital sign signal acquisition and analysis as set forth in claim 1, wherein: the body fat detection module has the measurement accuracy of 1% for the body fat rate and the body water rate.
5. A system for optoelectronic sensor-based vital sign signal acquisition and analysis as set forth in claim 1, wherein: the FP430 control module receives and processes detection signals of the PPG detection module, the ECG detection module and the body fat detection module through the FPGA processing module, communicates with the FPGA processing module through the UART, and transmits data to the APP end and the cloud platform end through BLE, 4G and WIFI wireless communication modes after receiving detection data.
6. A system for optoelectronic sensor-based vital sign signal acquisition and analysis as set forth in claim 1, wherein: the FP430 control module develops and customizes applications and functions associated with the product via the SDK provided by the third party.
7. A system for optoelectronic sensor-based vital sign signal acquisition and analysis as set forth in claim 1, wherein: the APP end comprises a registration login module, a voice guiding module, a face recognition module and a timing module;
the registration login module is used for registering user information or login use;
the voice guidance module is used for carrying out whole-course voice guidance prompt when the user carries out user information registration, user information login and health detection;
the face recognition module is used for collecting face image information of a user when the user registers the user information, comparing the recorded face image information with the face image of the user when the user registers, confirming the login when the face image accords with the face image, and refusing the login when the face image does not accord with the face image;
the timing module is used for prompting the user to perform detection and update of human body parameters through timing voice.
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