CN107669248B - Dynamic pulse continuous detection system and method for old people - Google Patents
Dynamic pulse continuous detection system and method for old people Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02438—Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements 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
- A61B5/6802—Sensor mounted on worn items
- A61B5/681—Wristwatch-type devices
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements 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
- A61B5/6813—Specially adapted to be attached to a specific body part
- A61B5/6824—Arm or wrist
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7246—Details of waveform analysis using correlation, e.g. template matching or determination of similarity
Abstract
The invention discloses a dynamic pulse continuous detection system and method for old people, and belongs to the technical field of wearable cardiovascular disease detection. The dynamic pulse continuous detection system for the aged comprises an aged vital sign detection bracelet, a data processing center and a terminal server. According to the invention, by adopting the data fitting system and method, pulse detection is carried out in different time domains, and a continuous heart rate and heart rhythm detection map of 7 x 24 hours is fitted, so that the continuous pulse detection function is realized on the premise of not affecting personal life, the accuracy of wearing equipment is improved, and specific old and child health data service is provided, and the home-based care intelligence level is promoted.
Description
Technical Field
The invention belongs to the technical field of wearable cardiovascular disease detection, and particularly relates to a dynamic pulse continuous detection system and method for old people.
Background
Although research on the wearable cardiovascular disease monitoring related technology is started later in China, related research results are continuously developed after continuous efforts. The physiological and physical basis for measuring blood pressure using pulse wave transit time was studied for the sea swallow, a correlation equation of blood pressure and pulse wave propagation time is derived. Zhang Junli the application of photoelectric volume pulse wave in the detection of the functions of the human circulatory system such as the heart blood flow and the arterial characteristics is researched through mathematical modeling analysis. Yang Lin pulse wave transit time measurements were made on subjects of different constitutions by experimentation, it was confirmed that there was an individual difference. Liu Guangda based on the differential threshold separation principle of pulse wave crest value characteristic points, a pulse wave-blood oxygen saturation mathematical analysis model is constructed, and the measurement of blood oxygen saturation is realized by utilizing a red light/near infrared light dual-wavelength semiconductor laser differential absorption method. The measurement of the reflected volume pulse wave and the blood oxygen saturation is completed by Zhang Yuanting of the university of hong Kong Chinese by using a motion impedance analysis method. Li Suyi the low-frequency noise in the wearable electrocardiograph monitoring is effectively restrained by utilizing wavelet packet transformation, lifting wavelet transformation and static wavelet transformation.
In general, the wearable physiological parameter monitoring system is still in a research stage and a certain distance away from the practical application, limited by the physiological signal measurement method. For a wearable health monitoring system, the physiological signal extraction method is improved, the signal detection accuracy is improved, the instrument volume is reduced, the man-machine efficiency is fully considered in the aspect of instrument structural design, and the establishment of a medical information communication channel is a main technical research focus.
The wearable intelligent device is used as an emerging object under the tide of high-tech waves, is following to the trend of the times, plays an important role in the innovation breakthrough of intelligent endowment service, and has profound significance for the harmonious, stable and sustainable development of the endowment service of China.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: the dynamic pulse continuous detection system and method for the aged are used for solving the technical problem that a wearable physiological parameter monitoring system at the present stage is limited by a physiological signal measurement method and has a certain distance from practical use.
The dynamic pulse continuous detection system for the aged comprises an aged vital sign detection bracelet, a data processing center and a terminal server,
the inside of the vital sign detection bracelet of the old is provided with a pulse sensor, a six-dimensional acceleration sensor, a central controller, a memory and a Bluetooth transmission module; the pulse sensor, the six-dimensional acceleration sensor, the memory and the Bluetooth transmission module are respectively connected with the central controller;
the data processing center comprises a server, a switch, a gateway, a hardware firewall, a database memory and an old people vital sign detection system memory; the server is respectively connected with the switch, the database memory and the memory of the vital sign detection system of the old; the switch is connected with the hardware firewall; the hardware firewall is connected with the gateway;
the terminal server comprises a smart phone and a tablet computer which are provided with more than 4.0 android and have Bluetooth functions;
the vital sign detection bracelet of the old is connected with the terminal server through the Bluetooth module; the terminal service machine is connected with the server after sequentially passing through the gateway, the hardware firewall and the switch through the 4G communication module or the wifi communication module.
The old people vital sign detection system comprises old people vital sign detection An Zhuoduan software and old people vital sign detection system service end software, wherein the old people vital sign detection An Zhuoduan software is installed in a smart phone and a tablet computer; the server software of the vital sign detection system for the old people is installed in the memory of the vital sign detection system for the old people.
The dynamic pulse continuous detection method for the aged comprises the following steps by using the dynamic pulse continuous detection system for the aged, and the following steps are sequentially carried out,
step one, registering information of the old, registering information of children and vital sign model parameters of the old are input into a terminal server through vital sign detection An Zhuoduan software of the old;
after the input is completed, the terminal server transmits the parameter information to the corresponding vital sign detection bracelet of the old through Bluetooth transmission, and simultaneously, the terminal server transmits the information to the data processing center through a 4G network or a wifi network;
step two, the data processing center extracts a corresponding pulse detection model from a model library of a database memory through the input parameter information, and transmits the parameter information of the pulse detection model to a terminal server through a 4G network or a wifi network, and the terminal server transmits the parameter information to an old people vital sign detection bracelet through a Bluetooth transmission module;
step three, the vital sign detection bracelet of the old detects the pulse rate and the pulse rhythm of the old through a pulse sensor, and the detected data are stored in a memory in the vital sign detection bracelet of the old; detecting the movement condition of the old through a six-dimensional movement sensor in real time, and storing detection data into a memory of a vital sign detection bracelet of the old in a classified manner according to detection time and detection type;
step four, uploading detection data
Uploading detection data of the vital sign detection bracelet of the old person into passive data uploading, initiating a transmission request to the vital sign detection bracelet of the old person by a terminal server, transmitting the data to the terminal server after the vital sign detection bracelet of the old person is connected to a command, storing the data into the terminal server through the vital sign detection An Zhuoduan software of the old person by the terminal server, feeding back a success instruction to the vital sign detection bracelet of the old person by the terminal server after the data are successfully transmitted, and deleting the transmitted detection data by the vital sign detection bracelet of the old person;
step five, motion compensation
Correcting heart rate detection according to an influence function of motion quantity detection data on heart rate through vital sign detection An Zhuoduan software of the old, obtaining heart rate in a static state, updating a static heart rate table, and storing the static heart rate table in a memory of a terminal server;
wherein, the influence function of the motion quantity detection data on heart rate is as follows:
wherein V is Static state Is static heart rate；V Dynamic movement To dynamically detect heart rate; y is the cumulative amount of exercise in the previous hour; n1 and n2 are both influencing factor parameters;
step six, detecting data compliance primary analysis
The vital sign detection An Zhuoduan software of the old compares the heart rate data in the static state in the fifth step with the highest value and the lowest value of the normal heart rate in the pulse detection model in the second step, exceeds a threshold value, is a bad detection value, marks the bad detection mark on the data,
the heart rate data in the static state is positioned between the highest value and the lowest value of the normal heart rate, is a good detection value, marks a good mark on the data, and stores the data into a terminal server through vital sign detection An Zhuoduan software of the old;
step seven, continuous detection curve fitting
The vital sign detection An Zhuoduan software of the old fits the detection data with good signs with a time axis to form a static heart rate fitting curve, a dynamic heart rate fitting curve, a heart rate fitting curve and a motion curve respectively;
step eight, detection calibration
The elderly manually selects the current health status, including normal and uncomfortable, through the elderly vital sign detection An Zhuoduan software;
the method comprises the steps that pulse detection is calibrated regularly by the old, after the old is stationary for 10 minutes, vital sign detection bracelets of the old are as high as heart parts, pulse calibration is selected through vital sign detection An Zhuoduan software of the old, a terminal server transmits the command to the vital sign detection bracelets of the old through Bluetooth communication, pulse detection is carried out on the vital sign detection bracelets of the old, a result is transmitted to the terminal server through a Bluetooth transmission module after detection, and the terminal server transmits the data to a data processing center through a 4G network or a wifi network;
step nine, data uploading
The terminal server transmits the original detection data, the correction data and the calibration data to the data processing center through a 4G network or a wifi network;
step ten, movement offset correction
Respectively taking the static heart rate fitting curve, the dynamic heart rate fitting curve, the heart rate fitting curve and the motion curve of nearly three months as respective normal curves to form a heart rate fitting average curve, a dynamic heart rate fitting average curve, a heart rate fitting average curve and a motion average curve,
making a weight of 10-20 for heart rate and heart rate calibration data calibrated in nearly three months, and respectively averaging the heart rate and heart rate calibration data with the static heart rate fitting average curve and the heart rate fitting average curve to form a new static heart rate fitting average curve and a new heart rate fitting curve average curve;
step eleven, the health status input by the old in the step eight is marked by the status, setting a heart rate alarm value upper line and an alarm lower line;
90% of the average value of the detection data input by the three-month old who is uncomfortable and higher than the static heart rate fitting curve is taken as the heart rate alarm value to be on line,
inputting uncomfortable 110% of the average value of detection data lower than a static heart rate fitting curve into the elderly three months as a heart rate alarm value offline;
twelve, pulse detection model and average curve issuing
The data processing center transmits the heart rate alarm value upper line, the heart rate alarm lower line, the new static heart rate fitting average curve, the new heart rate fitting curve average curve, the dynamic heart rate fitting average curve and the moving average curve in the tenth step and the eleventh step to the terminal server through a 4G network or a wifi network;
thirteen step, fitting curve display
And displaying the static heart rate fitting curve, the dynamic heart rate fitting curve, the heart rate fitting curve and the motion curve which are subjected to fitting in the step seven to a user through vital sign detection An Zhuoduan of the old man/server side software, and displaying the heart rate fitting average curve, the dynamic heart rate fitting average curve, the heart rate fitting average curve and the motion average curve which are issued by the data processing center in the step twelve by using corresponding colors.
The detection of the vital sign detection bracelet for the aged is automatically carried out according to detection rules under the condition of normal life of non-manual intervention of the aged, the detection items are heart rate and heart rhythm, and the detection method is an oscillometry method.
The model parameters in the first step include: the weight, sex, age, health status, wristwatch wearing habit, daily exercise step number, health status, common chronic disease, height, weight, sex, age, normal heart rate highest value, lowest value, heart rate alarm value up and heart rate alarm value down of the aged.
The functions of the senior citizen vital sign detection An Zhuoduan software include: parameter setting, bracelet searching, pulse detection, curve data graph detection and personal health reminding.
The functions of the server software of the vital sign detection system of the old comprise: the method comprises the steps of maintaining heart rate influence parameters by exercise, manually adjusting heart rate fit average curves, manually adjusting dynamic heart rate fit average curves, manually adjusting motion average curves, setting personal health reminding, publishing health messages, reporting health, analyzing regional health and analyzing disease types.
In the third step, the detection of pulse rate and pulse rhythm by the vital sign detection bracelet of the old is carried out in five modes:
according to the detection frequency and detection time, the detection pulse rate and pulse rate are automatically started by the vital sign detection bracelet of the old;
secondly, according to a detection instruction transmitted by the data processing center through the terminal server, the vital sign detection bracelet of the old people starts to detect pulse rate and pulse law;
detecting the pulse rate and pulse rate of the detection bracelet of the vital sign of the old according to the detection instruction transmitted by the terminal server;
according to the motion detection threshold, automatically starting detection by the vital sign detection bracelet of the old;
in the method five, the primary detection time of the vital sign detection bracelet of the old is 10 seconds, and in the detection process, the detection time is automatically increased by the vital sign detection bracelet of the old, and the primary detection time is changed to 15 seconds.
The fitting curve in the seventh step comprises the following eight steps:
four moving average lines of three months are respectively a heart rate fitting average curve, a dynamic heart rate fitting average curve, a heart rate fitting average curve and a moving average curve,
the four detection curves are respectively a static heart rate fitting curve, a dynamic heart rate fitting curve, a heart rate fitting curve and a motion curve;
the static heart rate fitting curve is a time-sharing average curve for accumulating personal static heart rate data within 24 hours, wherein the curve takes time as an X axis, the unit is hours, a Y axis is a heart rate value, and the unit is times/min;
the dynamic heart rate fitting curve is a time-sharing curve for accumulating personal dynamic heart rate data within 24 hours, the curve takes time as an X axis, the unit is hours, the Y axis is heart rate value, and the unit is times/minute;
the heart rhythm fitting curve is a time-sharing average curve for accumulating the pulse interval time values of two times of individuals within 24 hours, wherein the curve takes time as an X axis, the unit is hours, the Y axis is the pulse interval time values of two times, and the unit is milliseconds;
the motion curve is a time-sharing curve of personal motion values within 24 hours, the curve takes time as an X axis, the unit is hours, and a Y axis is the motion value.
The specific method for fitting the detection data of the good mark in the step seven with the time axis is as follows: the X-axis is uniformly distributed in time in an hour unit, the Y-value is detection data with good marks, and the curve is a method for smoothing the scattered point value into the curve by adopting a least square method.
Through the design scheme, the invention has the following beneficial effects:
according to the invention, by adopting the data fitting system and method, pulse detection is carried out in different time domains, and a continuous heart rate and heart rhythm detection map of 7 x 24 hours is fitted, so that the continuous pulse detection function is realized on the premise of not affecting personal life, the accuracy of wearing equipment is improved, and specific old and child health data service is provided, and the home-based care intelligence level is promoted.
Drawings
The invention is further described with reference to the drawings and detailed description which follow:
FIG. 1 is a block diagram showing the structure of the system in the system and method for continuously detecting dynamic pulse of the elderly according to the present invention.
In the figure, the device comprises a 1-elder vital sign detection bracelet, a 2-data processing center, a 3-terminal server, a 4-pulse sensor, a 5-six-dimensional acceleration sensor, a 6-central controller, a 7-memory, an 8-Bluetooth transmission module, a 9-server, a 10-switch, an 11-gateway, a 12-hardware firewall, a 13-database memory, a 14-elder vital sign detection system memory, a 15-smart phone and a 16-tablet computer.
Detailed Description
As shown in the figure, the dynamic pulse continuous detection system for the aged comprises an aged vital sign detection bracelet 1, a data processing center 2 and a terminal server 3,
the vital sign detection bracelet 1 for the old people is internally provided with a pulse sensor 4, a six-dimensional acceleration sensor 5, a central controller 6, a memory 7 and a Bluetooth transmission module 8; the pulse sensor 4, the six-dimensional acceleration sensor 5, the memory 7 and the Bluetooth transmission module 8 are respectively connected with the central controller 6;
the data processing center 2 comprises a server 9, a switch 10, a gateway 11, a hardware firewall 12, a database memory 13 and an old people vital sign detection system memory 14; the server 9 is respectively connected with the switch 10, the database memory 13 and the vital sign detection system memory 14 of the old people; the switch 10 is connected with a hardware firewall 12; the hardware firewall 12 is connected with the gateway 11; the gateway 11 is provided with a fixed IP for surfing the internet.
The terminal server 3 comprises a smart phone 15 and a tablet computer 16 which are provided with more than 4.0 android and have Bluetooth functions;
the vital sign detection bracelet 1 of the old is connected with the terminal server 3 through the Bluetooth module 8; the terminal server 3 is connected with the server 9 after sequentially passing through the gateway 11, the hardware firewall 12 and the switch 10 through the 4G communication module or the wifi communication module.
The old people vital sign detection system comprises old people vital sign detection An Zhuoduan software and old people vital sign detection system service end software, wherein the old people vital sign detection An Zhuoduan software is installed in the smart phone 15 and the tablet computer 16; the senior citizen vital sign detection system service side software is installed in the senior citizen vital sign detection system memory 14.
The dynamic pulse continuous detection method for the aged comprises the following steps by using the dynamic pulse continuous detection system for the aged, and the following steps are sequentially carried out,
step one, registering information of the old, registering information of children and vital sign parameters of the old are input to a terminal server 3 through vital sign detection An Zhuoduan software of the old;
the detection of the vital sign detection bracelet 1 for the aged is automatically carried out according to detection rules under the condition of normal life of non-manual intervention of the aged, the detection items are heart rate and heart rhythm, and the detection method is an oscillometry method.
The model parameters include: the weight, sex, age, health status, wristwatch wearing habit, daily exercise step number, health status, common chronic disease, height, weight, sex, age, normal heart rate highest value, lowest value, heart rate alarm value up and heart rate alarm value down of the aged.
After the input is completed, the terminal server 3 transmits the parameter information to the corresponding vital sign detection bracelet 1 of the old through Bluetooth transmission, and meanwhile, the terminal server 3 transmits the information to the data processing center 2 through a 4G network or a wifi network;
the functions of the senior citizen vital sign detection An Zhuoduan software include: parameter setting, bracelet searching, pulse detection, curve data graph detection and personal health reminding.
Step two, the data processing center 2 extracts a corresponding pulse detection model from a model library of the database memory 13 through the input parameter information, and transmits the parameter information of the pulse detection model to the terminal server 3 through a 4G network or a wifi network, and the terminal server 3 transmits the parameter information to the vital sign detection bracelet 1 of the old through a Bluetooth transmission module;
the old people vital sign detection system memory 14 in the data processing center 2 stores old people vital sign detection system service end software, and the functions of the software include: the method comprises the steps of maintaining heart rate influence parameters by exercise, manually adjusting heart rate fit average curves, manually adjusting dynamic heart rate fit average curves, manually adjusting motion average curves, setting personal health reminding, publishing health messages, reporting health, analyzing regional health and analyzing disease types. The disease of the elderly is acquired by maintenance of a "common chronic disease".
Step three, the vital sign detection bracelet 1 of the old people detects the pulse rate and the pulse rhythm of the old people through the pulse sensor 4, and the detected data are stored in a memory 7 in the vital sign detection bracelet 1 of the old people; detecting the movement condition of the old through the six-dimensional movement sensor 5 in real time, and storing the detection data into the memory 7 of the vital sign detection bracelet 1 of the old according to the detection time and the detection type in a classified manner;
in the third step, the detection of pulse rate and pulse rhythm by the vital sign detection bracelet 1 for the old is carried out in the following five modes:
according to the detection frequency and detection time, the detection pulse rate and pulse rate are automatically started by the vital sign detection bracelet 1 of the old;
according to the detection instruction transmitted by the data processing center 2 through the terminal server 3, the vital sign detection bracelet 1 for the old people starts to detect pulse rate and pulse law;
according to the detection instruction transmitted by the terminal server 3, the vital sign detection bracelet 1 for the old people starts to detect pulse rate and pulse law;
according to the motion detection threshold, the detection of the vital sign detection bracelet 1 of the old man is automatically started;
in the fifth method, the primary detection time of the vital sign detection bracelet 1 of the old is 10 seconds, and in the detection process, irregular pulse law of intermittent pulse, duplex pulse or triplex pulse appears, the primary detection time is changed into 15 seconds by automatically increasing the detection time of the vital sign detection bracelet 1 of the old.
Step four, uploading detection data
The detection data of the vital sign detection bracelet 1 of the old people is uploaded into passive data, a terminal server 3 initiates a transmission request to the vital sign detection bracelet 1 of the old people, the vital sign detection bracelet 1 of the old people transmits the data to the terminal server 3 after receiving a command, the terminal server 3 stores the data into the terminal server 3 through the vital sign detection An Zhuoduan software of the old, after the data are transmitted successfully, the terminal server 3 feeds back a success instruction to the vital sign detection bracelet 1 of the old, and the vital sign detection bracelet 1 of the old deletes the transmitted detection data;
step five, motion compensation
Correcting heart rate detection according to the influence function of the motion quantity detection data on heart rate through the vital sign detection An Zhuoduan software of the old, obtaining the heart rate in a static state, updating a static heart rate table, and storing the static heart rate table in a memory of the terminal server 3;
wherein, the influence function of the motion quantity detection data on heart rate is as follows:
wherein V is Static state Is a resting heart rate; v (V) Dynamic movement To dynamically detect heart rate; y is the cumulative amount of exercise in the previous hour; n1 and n2 are both influencing factor parameters;
step six, detecting data compliance primary analysis
The vital sign detection An Zhuoduan software of the old compares the heart rate data in the static state in the fifth step with the highest value and the lowest value of the normal heart rate in the pulse detection model in the second step, exceeds a threshold value, is a bad detection value, marks the bad detection mark on the data,
the heart rate data in the static state is positioned between the highest value and the lowest value of the normal heart rate, is a good detection value, marks a good mark on the data, and stores the data into the terminal server 3 through the vital sign detection An Zhuoduan software of the old;
step seven, continuous detection curve fitting
The vital sign detection An Zhuoduan software of the old fits the detection data with good signs with a time axis to form a static heart rate fitting curve, a dynamic heart rate fitting curve, a heart rate fitting curve and a motion curve respectively; the specific fitting method comprises the following steps: the X-axis is uniformly distributed in time in an hour unit, the Y-value is detection data with good marks, and the curve is a method for smoothing the scattered point value into the curve by adopting a least square method.
The fitting curve in the seventh step comprises the following eight steps:
four moving average lines of three months are respectively a heart rate fitting average curve, a dynamic heart rate fitting average curve, a heart rate fitting average curve and a moving average curve,
the four detection curves are respectively a static heart rate fitting curve, a dynamic heart rate fitting curve, a heart rate fitting curve and a motion curve;
the static heart rate fitting curve is a time-sharing average curve for accumulating personal static heart rate data within 24 hours, wherein the curve takes time as an X axis, the unit is hours, a Y axis is a heart rate value, and the unit is times/min;
the dynamic heart rate fitting curve is a time-sharing curve for accumulating personal dynamic heart rate data within 24 hours, the curve takes time as an X axis, the unit is hours, the Y axis is heart rate value, and the unit is times/minute;
the heart rhythm fitting curve is a time-sharing average curve for accumulating the pulse interval time values of two times of individuals within 24 hours, wherein the curve takes time as an X axis, the unit is hours, the Y axis is the pulse interval time values of two times, and the unit is milliseconds;
the motion curve is a time-sharing curve of personal motion values within 24 hours, the curve takes time as an X axis, the unit is hours, and a Y axis is the motion value.
Step eight, detection calibration
The elderly manually selects the current health status, including normal and uncomfortable, through the elderly vital sign detection An Zhuoduan software;
the pulse detection is calibrated regularly by the old man, the calibration method is that after the old man is stationary for 10 minutes, the vital sign detection bracelet 1 of the old man is as high as the heart part, pulse calibration is selected through the vital sign detection An Zhuoduan software of the old man, the terminal server 3 transmits the command to the vital sign detection bracelet 1 of the old man through Bluetooth communication, the vital sign detection bracelet 1 of the old man carries out pulse detection, after detection, a result is transmitted to the terminal server 3 through the Bluetooth transmission module 8, and the terminal server 3 transmits the data to the data processing center 2 through a 4G network or a wifi network;
step nine, data uploading
The terminal server 3 transmits the original detection data, the correction data and the calibration data to the data processing center 2 through a 4G network or a wifi network;
step ten, movement offset correction
And respectively taking the static heart rate fitting curve, the dynamic heart rate fitting curve, the heart rate fitting curve and the motion curve of nearly three months as the respective normal curves to form a heart rate fitting average curve, a dynamic heart rate fitting average curve, a heart rate fitting average curve and a motion average curve.
Making a weight of 10-20 for heart rate and heart rate calibration data calibrated in nearly three months, and respectively averaging the heart rate and heart rate calibration data with the static heart rate fitting average curve and the heart rate fitting average curve to form a new static heart rate fitting average curve and a new heart rate fitting curve average curve;
step eleven, setting a heart rate alarm value upper line and an alarm lower line according to the health state input by the old in the step eight by the state label;
90% of the average value of the detection data input by the three-month old who is uncomfortable and higher than the static heart rate fitting curve is taken as the heart rate alarm value to be on line,
inputting uncomfortable 110% of the average value of detection data lower than a static heart rate fitting curve into the elderly three months as a heart rate alarm value offline;
twelve, pulse detection model and average curve issuing
The data processing center 2 transmits the heart rate alarm value upper line, the heart rate alarm lower line, the new static heart rate fitting average curve, the new heart rate fitting curve average curve, the dynamic heart rate fitting average curve and the moving average curve in the tenth and eleventh steps to the terminal server 3 through a 4G network or a wifi network;
thirteen step, fitting curve display
And displaying the static heart rate fitting curve, the dynamic heart rate fitting curve, the heart rate fitting curve and the motion curve which are subjected to fitting in the step seven to a user through vital sign detection An Zhuoduan of the aged/server side software, and simultaneously respectively displaying the heart rate fitting average curve, the dynamic heart rate fitting average curve, the heart rate fitting average curve and the motion average curve which are issued by the data processing center 2 in the step twelve by using different colors.
Claims (8)
1. The dynamic pulse continuous detection method for the aged utilizes an aged dynamic pulse continuous detection system to detect, the aged dynamic pulse continuous detection system comprises an aged vital sign detection bracelet (1), a data processing center (2) and a terminal server (3),
the vital sign detection bracelet for the old people is characterized in that a pulse sensor (4), a six-dimensional acceleration sensor (5), a central controller (6), a memory (7) and a Bluetooth transmission module (8) are arranged in the vital sign detection bracelet for the old people; the pulse sensor (4), the six-dimensional acceleration sensor (5), the memory (7) and the Bluetooth transmission module (8) are respectively connected with the central controller (6);
the data processing center (2) comprises a server (9), a switch (10), a gateway (11), a hardware firewall (12), a database memory (13) and an old people vital sign detection system memory (14); the server (9) is respectively connected with the switch (10), the database memory (13) and the vital sign detection system memory (14) of the old; the switch (10) is connected with a hardware firewall (12); the hardware firewall (12) is connected with the gateway (11);
the terminal server (3) comprises a smart phone (15) and a tablet computer (16) which are provided with more than 4.0 android and have Bluetooth functions;
the vital sign detection bracelet (1) of the old is connected with the terminal server (3) through the Bluetooth module (8); the terminal server (3) is connected with the server (9) through the gateway (11), the hardware firewall (12) and the switch (10) in sequence by the 4G communication module or the wifi communication module;
the old man vital sign detection system comprises old man vital sign detection An Zhuoduan software and old man vital sign detection system service end software, wherein the old man vital sign detection An Zhuoduan software is installed in a smart phone (15) and a tablet computer (16); the service end software of the vital sign detection system of the old man is installed in a memory (14) of the vital sign detection system of the old man; the method is characterized in that: comprising the following steps, and the following steps are carried out in sequence,
step one, registering information of the old, registering information of children and vital sign parameters of the old are input into a terminal server (3) through vital sign detection An Zhuoduan software of the old;
after the input is completed, the terminal server (3) transmits the parameter information to the corresponding vital sign detection bracelet (1) of the old through Bluetooth transmission, meanwhile, the terminal server (3) transmits the information to the data processing center (2) through a 4G network or a wifi network;
step two, the data processing center (2) extracts a corresponding pulse detection model from a model library of the database memory (13) through the input parameter information, and transmits the parameter information of the pulse detection model to the terminal server (3) through a 4G network or a wifi network, and the terminal server (3) transmits the parameter information to the vital sign detection bracelet (1) of the old through the Bluetooth transmission module;
step three, the vital sign detection bracelet (1) for the old detects the pulse rate and pulse rhythm of the old through the pulse sensor (4), and the detected data are stored in a memory (7) in the vital sign detection bracelet (1) for the old; detecting the movement condition of the old through a six-dimensional movement sensor (5) in real time, and storing detection data into a memory (7) of the vital sign detection bracelet (1) of the old according to detection time and detection type in a classified manner;
step four, uploading detection data
The method comprises the steps that detection data of an old people vital sign detection bracelet (1) are uploaded into passive data, a terminal server (3) initiates a transmission request to the old people vital sign detection bracelet (1), after receiving a command, the old people vital sign detection bracelet (1) transmits the data to the terminal server (3), the terminal server (3) stores the data into the terminal server (3) through old people vital sign detection An Zhuoduan software, and after the transmission is successful, the terminal server (3) feeds back a success instruction to the old people vital sign detection bracelet (1), and the old people vital sign detection bracelet (1) deletes the transmitted detection data;
step five, motion compensation
Correcting heart rate detection according to an influence function of motion quantity detection data on heart rate through vital sign detection An Zhuoduan software of the old, obtaining heart rate in a static state, updating a static heart rate table, and storing the static heart rate table in a memory of a terminal server (3);
wherein, the influence function of the motion quantity detection data on heart rate is as follows:
wherein V is Static state Is a resting heart rate; v (V) Dynamic movement To dynamically detect heart rate; y is the cumulative amount of exercise in the previous hour; n1 and n2 are both influencing factor parameters;
step six, detecting data compliance primary analysis
The vital sign detection An Zhuoduan software of the old compares the heart rate data in the static state in the fifth step with the highest value and the lowest value of the normal heart rate in the pulse detection model in the second step, exceeds a threshold value, is a bad detection value, marks the bad detection mark on the data,
the heart rate data in the static state is positioned between the highest value and the lowest value of the normal heart rate, is a good detection value, marks a good mark on the data, and stores the data into a terminal server (3) through vital sign detection An Zhuoduan software of the old;
step seven, continuous detection curve fitting
The vital sign detection An Zhuoduan software of the old fits the detection data with good signs with a time axis to form a static heart rate fitting curve, a dynamic heart rate fitting curve, a heart rate fitting curve and a motion curve respectively;
step eight, detection calibration
The elderly manually selects the current health status, including normal and uncomfortable, through the elderly vital sign detection An Zhuoduan software;
the pulse detection is calibrated regularly by the old man, the calibration method is that after the old man is stationary for 10 minutes, the vital sign detection bracelet (1) of the old man is as high as the heart part, pulse calibration is selected through the vital sign detection An Zhuoduan software of the old man, the pulse calibration instruction is transmitted to the vital sign detection bracelet (1) of the old man through Bluetooth communication by the terminal server (3), the vital sign detection bracelet (1) of the old man carries out pulse detection, after detection, a result is transmitted to the terminal server (3) through the Bluetooth transmission module (8), and the terminal server (3) transmits the data to the data processing center (2) through a 4G network or a wifi network;
step nine, data uploading
The terminal server (3) transmits the original detection data, the correction data and the calibration data to the data processing center (2) through a 4G network or a wifi network;
step ten, movement offset correction
Respectively taking the static heart rate fitting curve, the dynamic heart rate fitting curve, the heart rate fitting curve and the motion curve of nearly three months as the respective normal curves to form a static heart rate fitting average curve, a dynamic heart rate fitting average curve, a heart rate fitting average curve and a motion average curve,
making a weight of 10-20 for heart rate and heart rate calibration data calibrated in nearly three months, and respectively averaging the heart rate and heart rate calibration data with the static heart rate fitting average curve and the heart rate fitting average curve to form a new static heart rate fitting average curve and a new heart rate fitting curve average curve;
step eleven, state target
Setting a heart rate alarm value on-line and an alarm off-line according to the health state input by the old in the step eight;
90% of the average value of the detection data input by the three-month old who is uncomfortable and higher than the static heart rate fitting curve is taken as the heart rate alarm value to be on line,
inputting uncomfortable 110% of the average value of detection data lower than a static heart rate fitting curve into the elderly three months as a heart rate alarm value offline;
twelve, pulse detection model and average curve issuing
The data processing center (2) transmits the heart rate alarm value upper line, the heart rate alarm lower line, the new static heart rate fitting average curve, the new heart rate fitting average curve, the dynamic heart rate fitting average curve and the moving average curve in the tenth step and the eleventh step to the terminal server (3) through a 4G network or a wifi network;
thirteen step, fitting curve display
The static heart rate fitting curve, the dynamic heart rate fitting curve, the heart rate fitting curve and the motion curve which are fitted in the step seven are displayed to the user through the vital sign detection An Zhuoduan of the old and the server side software, and simultaneously displaying the heart rate fitting average curve, the dynamic heart rate fitting average curve, the heart rate fitting average curve and the moving average curve which are issued by the data processing center (2) in the step twelve by using corresponding colors.
2. The method for continuously detecting dynamic pulse of old people according to claim 1, characterized in that: the detection of the vital sign detection bracelet (1) for the aged is automatically carried out according to detection rules under the condition of normal life of non-manual intervention of the aged, the detection items are heart rate and heart rhythm, and the detection method is an oscillometry method.
3. The method for continuously detecting dynamic pulse of old people according to claim 1, characterized in that: the model parameters in the first step include: the weight, sex, age, health status, wristwatch wearing habit, daily exercise step number, health status, common chronic disease, height, weight, sex, age, normal heart rate highest value, lowest value, heart rate alarm value up and heart rate alarm value down of the aged.
4. The method for continuously detecting dynamic pulse of old people according to claim 1, characterized in that: the functions of the senior citizen vital sign detection An Zhuoduan software include: parameter setting, bracelet searching, pulse detection, curve data graph detection and personal health reminding.
5. The method for continuously detecting dynamic pulse of old people according to claim 1, characterized in that: the functions of the server software of the vital sign detection system of the old comprise: the method comprises the steps of maintaining heart rate influence parameters by exercise, manually adjusting heart rate fit average curves, manually adjusting dynamic heart rate fit average curves, manually adjusting motion average curves, setting personal health reminding, publishing health messages, reporting health, analyzing regional health and analyzing disease types.
6. The method for continuously detecting dynamic pulse of old people according to claim 1, characterized in that: in the third step, the detection of pulse rate and pulse rhythm by the vital sign detection bracelet (1) for the old is carried out in five modes:
according to the detection frequency and detection time, the detection pulse rate and pulse rate are automatically started by the vital sign detection bracelet (1) of the old;
secondly, according to a detection instruction transmitted by the data processing center (2) through the terminal server (3), the vital sign detection bracelet (1) for the old man starts to detect pulse rate and pulse law;
according to the detection instruction transmitted by the terminal server (3), the vital sign detection bracelet (1) for the old man starts to detect pulse rate and pulse law;
according to the motion detection threshold, the detection of the vital sign detection bracelet (1) of the old is automatically started;
in the method five, the primary detection time of the vital sign detection bracelet (1) of the old is 10 seconds, and in the detection process, the detection time is automatically increased by the vital sign detection bracelet (1) of the old, and the primary detection time is changed into 15 seconds.
7. The method for continuously detecting dynamic pulse of old people according to claim 1, characterized in that: the fitting curve in the seventh step comprises the following eight steps:
four moving average lines of three months are respectively a heart rate fitting average curve, a dynamic heart rate fitting average curve, a heart rate fitting average curve and a moving average curve,
the four detection curves are respectively a static heart rate fitting curve, a dynamic heart rate fitting curve, a heart rate fitting curve and a motion curve;
the static heart rate fitting curve is a time-sharing average curve for accumulating personal static heart rate data within 24 hours, wherein the curve takes time as an X axis, the unit is hours, a Y axis is a heart rate value, and the unit is times/min;
the dynamic heart rate fitting curve is a time-sharing curve for accumulating personal dynamic heart rate data within 24 hours, the curve takes time as an X axis, the unit is hours, the Y axis is heart rate value, and the unit is times/minute;
the heart rhythm fitting curve is a time-sharing average curve for accumulating the pulse interval time values of two times of individuals within 24 hours, wherein the curve takes time as an X axis, the unit is hours, the Y axis is the pulse interval time values of two times, and the unit is milliseconds;
the motion curve is a time-sharing curve of personal motion values within 24 hours, the curve takes time as an X axis, the unit is hours, and a Y axis is the motion value.
8. The method for continuously detecting dynamic pulse of old people according to claim 1, characterized in that: the specific method for fitting the detection data of the good mark in the step seven with the time axis is as follows: the X-axis is uniformly distributed in time in an hour unit, the Y-value is detection data with good marks, and the curve is a method for smoothing the scattered point value into the curve by adopting a least square method.
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