CN107669248A - Old man's dynamic pulse continuous detecting system and method - Google Patents
Old man's dynamic pulse continuous detecting system and method Download PDFInfo
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- CN107669248A CN107669248A CN201710908352.0A CN201710908352A CN107669248A CN 107669248 A CN107669248 A CN 107669248A CN 201710908352 A CN201710908352 A CN 201710908352A CN 107669248 A CN107669248 A CN 107669248A
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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
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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
- A61B5/024—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
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
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- 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
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- 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
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- 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
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Abstract
The invention discloses old man's dynamic pulse continuous detecting system and method, belongs to wearable angiocardiopathy detection technique field.Wherein, old man's dynamic pulse continuous detecting system, including old man's vital sign detection bracelet, data processing centre and terminal service machine.The present invention is using a kind of data fitting system and method, pass through detection of the different time domain to pulse, it is fitted to continuous heart rate, the rhythm of the heart detection collection of illustrative plates of a 7*24 hour, so as to realize on the premise of personal lifestyle is not influenceed, detect continuous pulse function, wearable device precision is improved with this, and specific old man and children health data service is provided, promotes family endowment wisdomization horizontal.
Description
Technical field
The invention belongs to wearable angiocardiopathy detection technique field, especially relates to a kind of old man's dynamic pulse and connects
Continuous detecting system and method.
Background technology
Although the domestic research that correlation technique is monitored for wearable angiocardiopathy is started late, but by constantly exerting
Power, related achievement in research also continuously emerge.The physiology and thing using pulse wave propagation time measurement blood pressure are have studied to petrel
Reason basis, it is deduced the relationship equation of blood pressure and pulse wave propagation time.Zhang Junli is analyzed by mathematical modeling, have studied
Application of the photoplethysmographic in human recycle system's Function detection such as cardiac flow and arterial property.Yang Lin passes through experiment
The measurement of pulse wave translation time is carried out to the object of different constitutions, it was demonstrated that it has individual difference.Liu Guangda is based on pulse wave
The differential threshold value separation principle of characteristic point peak load, constructs pulse wave --- blood oxygen saturation mathematical analysis model, and utilize red
Light/near infrared light double-wavelength semiconductor laser differential absorption process, realizes the measurement to blood oxygen saturation.Hong Kong Chinese University
Zhang Yuanting utilize movement resistance analysis method, complete the measurement of reflective volume pulsation wave and blood oxygen saturation.Li Suyi
Using wavelet package transforms, lifting wavelet transform and stationary wavelet transform, the low-frequency noise in being monitored to wearable ECG is carried out
Effectively suppress.
On the whole, limited by physiological signal measurements method, wearable physiological parameter monitoring system is also in research rank
Section, there is certain distance apart from practical.For wearable health monitoring systems, improve physiological signal extracting method, improve letter
Number accuracy in detection, equipment instrument is reduced, ergonomic is taken into full account in apparatus structure design aspect, establish medical information communication
Channel is its main technical research emphasis.
Wearable intelligent equipment, immediately following era development trend, is supported as the Newly Sprouted Things under high and new technology tide in wisdom
Played an important role on the strategic structural serviced always, the harmony stabilization for service business of being supported parents to China, sustainable development have
Far reaching significance.
The content of the invention
The technical problems to be solved by the invention are：A kind of old man's dynamic pulse continuous detecting system and method are provided, used
In solving, wearable physiological parameter monitoring system at this stage is practical also certain by the limiting distance of physiological signal measurements method
The technical problem of distance.
Old man's dynamic pulse continuous detecting system, including old man's vital sign detection bracelet, data processing centre and terminal
Server,
Old man's vital sign detection bracelet is internally provided with pulse transducer, six-dimension acceleration sensor, center control
Device, memory and Bluetooth communication modules processed；The pulse transducer, six-dimension acceleration sensor, memory and Bluetooth transmission mould
Block is connected with central controller respectively；
The data processing centre includes server, interchanger, gateway, hardware firewall, archival memory and old man
Vital sign detecting system memory；The server detects with interchanger, archival memory and old man's vital sign respectively
System storage connects；The interchanger is connected with hardware firewall；The hardware firewall is connected with gateway；
The terminal service machine includes being provided with Android 4.0 with smart mobile phone of the adjustment of the printing plate with Bluetooth function and flat board electricity
Brain；
Old man's vital sign detection bracelet is connected by bluetooth module with terminal service machine；The terminal service machine leads to
Cross 4G communication modules or wifi communication modules pass sequentially through gateway, hardware firewall and interchanger after be connected with server.
Old man's vital sign detecting system includes old man's vital sign detection Android end software and old man's vital sign
Detecting system service terminal software, wherein old man's vital sign detection Android end software installation is in smart mobile phone and tablet personal computer
In；Old man's vital sign detecting system service terminal software is installed in old man's vital sign detecting system memory.
Old man's dynamic pulse continuous detecting method, using described old man's dynamic pulse continuous detecting system, including it is following
Step, and following steps are sequentially carried out,
Step 1: the model parameter of the log-on message of old man, the log-on message of children and old man is passed through into old man's life
Sign detection Android end software is entered into terminal service machine；
After the completion of typing, parameter information is delivered to corresponding old man's vital sign by Bluetooth transmission and examined by terminal service machine
Bracelet is surveyed, while the information is passed to data processing centre by terminal service machine by 4G networks or wifi network；
Step 2: parameter information of the data processing centre by typing, the extraction pair from the model library of archival memory
The pulse detection model that should meet, and the parameter information of the pulse detection model is passed into end by 4G networks or wifi network
Server is held, terminal service machine passes to old man's vital sign by Bluetooth communication modules again and detects bracelet；
Pulse frequency, the arteries and veins rule of old man are detected by pulse transducer Step 3: old man's vital sign detects bracelet, will
Data are saved in the memory inside old man's vital sign detection bracelet after detection；By sextuple motion sensor to old man's
Motion conditions are detected in real time, and will detect data classification storage to old man's vital sign according to detection time and detection type
In the memory for detecting bracelet；
Step 4: detection data upload
The detection data of old man's vital sign detection bracelet upload to be uploaded for passive type data, initiates to pass by terminal service machine
Defeated request after old man's vital sign detection bracelet is connected to order, passes data to terminal to old man's vital sign detection bracelet
The data are detected Android end software by old man's vital sign and are saved in terminal service machine, passed by server, terminal service machine
After passing successfully, terminal service machine feeds back to old man's vital sign detection bracelet successfully to be instructed, and old man's vital sign detection bracelet is deleted
Except the detection data transmitted；
Step 5: motion compensation
Android end software is detected by old man's vital sign, influence function of the data to heart rate is detected according to amount of exercise, it is right
Heart rate detection is modified, and is obtained the heart rate under inactive state, is updated static heart rate monitor, and be saved in the storage of terminal service machine
In device；
Wherein, the amount of exercise detection data are as follows to the influence function of heart rate：
Wherein, VIt is quietFor static heart rate；VIt is dynamicFor dynamic detection heart rate；Y is the motion cumulative amount of previous hour；N1, n2 are equal
For factor of influence parameter；
Step 6: detection data compliance Primary Assay
Old man's vital sign detects Android end software by the heart rate data under the inactive state in the step 5 and described
Normal cardiac rate peak in pulse detection model and minimum in step 2 are contrasted, and are bad inspection more than threshold value
Measured value, bad detection mark is stamped in the item data,
Heart rate data under inactive state is good detection value, at this between normal cardiac rate peak and minimum
Good sign is stamped on item data, and the data are detected into Android end software by old man's vital sign and are saved in terminal service machine
It is interior；
Step 7: continuous detection curve fitting
Old man's vital sign detection Android end software is respectively fitted to the detection data with good sign with time shaft
On static heart rate matched curve, Dynamic Heart Rate matched curve, rhythm of the heart matched curve and curve movement；
Step 8: detection demarcation
Old man detects Android end software by old man's vital sign and manually selects current health status, including normal and do not relax
Clothes；
Old man periodically demarcates to pulse detection, and scaling method is old man after static 10 minutes, the inspection of old man's vital sign
Bracelet is surveyed with cardia with height, selects pulse to demarcate by old man's vital sign detection Android end software, terminal service machine handle
This instruction passes to old man's vital sign by bluetooth communication and detects bracelet, and old man's vital sign detection bracelet carries out pulse inspection
Survey, after detection, result is passed into terminal service machine by Bluetooth communication modules, the data are passed through 4G networks by terminal service machine
Or wifi network passes to data processing centre；
Step 9: data upload
Terminal service machine transmits raw sensor data, amendment data and nominal data by 4G networks or wifi network
To data processing centre；
Step 10: mobile offset correction
Nearly trimestral static heart rate matched curve, Dynamic Heart Rate matched curve, rhythm of the heart matched curve and motion are bent
Line, respective rolling average curve is taken to form heart rate fitting averaged curve, Dynamic Heart Rate is intended as respective normalized curve respectively
Averaged curve, rhythm of the heart fitting averaged curve and motion averaged curve are closed,
The rhythm of the heart of demarcation in nearly three months, heart rate nominal data do 10-20 weights, respectively with the above-mentioned static heart
Rate fitting averaged curve, rhythm of the heart fitting averaged curve are averaged, and form new static heart rate fitting averaged curve and the new heart
Rule is fitted bent averaged curve；
Step 11: state target
The health status inputted by old man in the step 8, heart rate police's value is set to reach the standard grade and guard against offline；
Three months old men are inputted into the 90% of the average value of uncomfortable detection data higher than static heart rate matched curve
Reached the standard grade as heart rate police's value,
Three months old men are inputted into the 110% of the average value of uncomfortable detection data less than static heart rate matched curve
It is worth as heart rate police offline；
Step 12: pulse detection model and averaged curve issue
Data processing centre is described Step 10: the static heart that heart rate police's value in 11 is reached the standard grade, heart rate warning is offline, new
Rate fitting averaged curve, the new rhythm of the heart are fitted bent averaged curve, Dynamic Heart Rate fitting averaged curve and motion averaged curve and led to
Cross 4G networks or wifi network is issued to terminal service machine；
Step 13: matched curve shows
Static heart rate matched curve through over-fitting, Dynamic Heart Rate matched curve, rhythm of the heart fitting in the step 7 is bent
Line and curve movement detect Android end/server software by old man's vital sign and user are showed, while number
According to processing center averaged curve, Dynamic Heart Rate fitting averaged curve, rhythm of the heart fitting are fitted in the heart rate that step 12 issues averagely
Curve, motion averaged curve color corresponding to are shown.
The old man is the old man of more than 60 years old, and it is unartificial dry in old man that vital sign, which detects detection of the bracelet to old man,
In the case of pre- normal life, the detection that is carried out automatically according to detected rule, its detection project is heart rate and the rhythm of the heart, its detection method
For Oscillographic Determination method.
Model parameter in the step 1 includes：The body weight of wearing old man, sex, age, health status, watch are worn
Custom, daily requirement motion step number, aged health situation, common chronic disease, height, body weight, sex, age, normal cardiac rate are most
High level, minimum, heart rate police's value are reached the standard grade offline with heart rate police's value.
The function of old man's vital sign detection Android end software includes：Parameter setting, search bracelet, pulse detection,
Detection curve datagram and personal health are reminded.
The function of old man's vital sign detecting system service terminal software includes：Motion to Heart rate influences parameter maintenance,
The manual setting of heart rate fitting averaged curve, the manual setting of Dynamic Heart Rate fitting averaged curve, rhythm of the heart fitting averaged curve are adjusted by hand
Whole, motion averaged curve manual setting, personal health remind settings, healthy news release, statement-of-health, area health analyze and
Divide Disease kind analysis.
Detection of old man's vital sign detection bracelet to pulse frequency, arteries and veins rule, there is five kinds of modes in the step 3：
Method one, according to detection frequency, detection time, by old man's vital sign detect bracelet automatic start detection pulse frequency,
Arteries and veins is restrained；
Method two, according to data processing centre by the transmission of terminal service machine come detection instruct, old man's vital sign inspection
Survey bracelet and start detection pulse frequency, arteries and veins rule；
Method three, the detection come according to the transmission of terminal service machine instruct, and old man's vital sign detection bracelet starts detection arteries and veins
Rate, arteries and veins rule；
Method four, according to motion detection threshold, the detection bracelet automatic start detection of old man's vital sign；
Method five, old man's vital sign detection bracelet one detection period is 10 seconds, in detection process, has interval
The irregular pulse rule of arteries and veins, bigeminal pulse or trigeminal pulse, detection time, one-time detection are increased by old man's vital sign detection bracelet automatically
Time is changed into 15 seconds.
Matched curve in the step 7 includes following eight kinds：
Three months four kinds of Moving Averages, respectively heart rate fitting averaged curve, Dynamic Heart Rate fitting averaged curve, the rhythm of the heart
Averaged curve and motion averaged curve are fitted,
Four kinds of detection curve, respectively static heart rate matched curve, Dynamic Heart Rate matched curve, rhythm of the heart matched curve and fortune
Moving curve；
The static heart rate matched curve is the timesharing averaged curve in 24 hours of accumulative personal static heart rate data,
For the curve using the time as X-axis, unit is hour, and Y-axis is HR values, unit be number/point；
The Dynamic Heart Rate matched curve is to add up the timesharing curve in 24 hours of personal Dynamic Heart Rate data, the song
For line using the time as X-axis, unit is hour, and Y-axis is HR values, unit be number/point；
The rhythm of the heart matched curve is averaged for the timesharing in 24 hours of accumulative personal pulse interval time numerical value twice
Curve, the curve is using the time as X-axis, and unit is hour, and Y-axis is pulse interval time numerical value, unit are millisecond twice；
Described curve movement is timesharing curve of the individual sports numerical value in 24 hours, and the curve is single using the time as X-axis
Position is hour, and Y-axis is motion value.
The specific method that the detection data of good sign are fitted with time shaft in the step 7 is：X-axis is using hour to be single
Position, temporally equal distribution, Y value are the detection data with good sign, and curve is scatterplot numerical value using least square method
It is smoothed to the method for curve.
By above-mentioned design, the present invention can bring following beneficial effect：
The present invention, by detection of the different time domain to pulse, is fitted to one using a kind of data fitting system and method
Continuous heart rate, the rhythm of the heart detection collection of illustrative plates of 7*24 hours, so as to realize on the premise of personal lifestyle is not influenceed, detects continuous arteries and veins
Fight function, wearable device precision is improved with this, and specific old man and children health data service is provided, promote family endowment intelligence
Intelligentization is horizontal.
Brief description of the drawings
Below in conjunction with the drawings and specific embodiments, the present invention is further illustrated：
Fig. 1 is the structured flowchart of system in old man's dynamic pulse continuous detecting system of the present invention and method.
In figure 1- old man's vital sign detection bracelet, 2- data processing centres, 3- terminal services machine, 4- pulse transducers,
5- six-dimension acceleration sensors, 6- central controllers, 7- memories, 8- Bluetooth communication modules, 9- servers, 10- interchangers,
11- gateways, 12- hardware firewalls, 13- archival memories, 14- old man's vital sign detecting system memory, 15- intelligence hands
Machine, 16- tablet personal computers.
Embodiment
As illustrated, old man's dynamic pulse continuous detecting system, including old man's vital sign detection bracelet 1, data processing
Center 2 and terminal service machine 3,
Old man's vital sign detection bracelet 1 is internally provided with pulse transducer 4, six-dimension acceleration sensor 5, center
Controller 6, memory 7 and Bluetooth communication modules 8；The pulse transducer 4, six-dimension acceleration sensor 5, memory 7 and indigo plant
Tooth transport module 8 is connected with central controller 6 respectively；
The data processing centre 2 includes server 9, interchanger 10, gateway 11, hardware firewall 12, database purchase
Device 13 and old man's vital sign detecting system memory 14；The server 9 respectively with interchanger 10, archival memory 13 and
Old man's vital sign detecting system memory 14 connects；The interchanger 10 is connected with hardware firewall 12；The hardware fire prevention
Wall 12 is connected with gateway 11；Fixed IP is set to be surfed the Net on the gateway 11.
The terminal service machine 3 includes being provided with smart mobile phone 15 and flat board that Android 4.0 carries Bluetooth function with adjustment of the printing plate
Computer 16；
Old man's vital sign detection bracelet 1 is connected by bluetooth module 8 with terminal service machine 3；The terminal service
Machine 3 by 4G communication modules or wifi communication modules pass sequentially through after gateway 11, hardware firewall 12 and interchanger 10 with
Server 9 connects.
Old man's vital sign detecting system includes old man's vital sign detection Android end software and old man's vital sign
Detecting system service terminal software, wherein old man's vital sign detects Android end software installation in smart mobile phone 15 and flat board electricity
In brain 16；Old man's vital sign detecting system service terminal software is installed on old man's vital sign detecting system memory 14
In.
Old man's dynamic pulse continuous detecting method, using described old man's dynamic pulse continuous detecting system, including it is following
Step, and following steps are sequentially carried out,
Step 1: the model parameter of the log-on message of old man, the log-on message of children and old man is passed through into old man's life
Sign detection Android end software is entered into terminal service machine 3；
The old man is the old man of more than 60 years old, and it is unartificial in old man that vital sign, which detects detection of the bracelet 1 to old man,
In the case of intervening normal life, the detection that is carried out automatically according to detected rule, its detection project is heart rate and the rhythm of the heart, its detection side
Method is Oscillographic Determination method.
The model parameter includes：The body weight of wearing old man, sex, age, health status, watch, which are worn, to be accustomed to, is daily
It is required that motion step number, aged health situation, common chronic disease, height, body weight, sex, the age, normal cardiac rate peak, minimum
Value, heart rate police's value are reached the standard grade offline with heart rate police's value.
After the completion of typing, parameter information is delivered to corresponding old man's vital sign by terminal service machine 3 by Bluetooth transmission
Bracelet 1 is detected, while the information is passed to data processing centre 2 by terminal service machine 3 by 4G networks or wifi network；
The function of old man's vital sign detection Android end software includes：Parameter setting, search bracelet, pulse detection,
Detection curve datagram and personal health are reminded.
Step 2: parameter information of the data processing centre 2 by typing, is extracted from the model library of archival memory 13
The corresponding pulse detection model met, and the parameter information of the pulse detection model is passed to by 4G networks or wifi network
Terminal service machine 3, terminal service machine 3 pass to old man's vital sign by Bluetooth communication modules again and detect bracelet 1；
Old man's vital sign is stored with old man's vital sign detecting system memory 14 in the data processing centre 2
Detecting system service terminal software, the function of the software include：Motion is fitted averaged curve hand to Heart rate influences parameter maintenance, heart rate
Work adjustment, the manual setting of Dynamic Heart Rate fitting averaged curve, the manual setting of rhythm of the heart fitting averaged curve, motion averaged curve are manual
Adjustment, personal health remind setting, the analysis of healthy news release, statement-of-health, area health and divide Disease kind analysis.The disease of old man
Obtained by safeguarding in " common chronic disease ".
Pulse frequency, the arteries and veins rule of old man are detected by pulse transducer 4 Step 3: old man's vital sign detects bracelet 1,
Data after detection are saved in the memory 7 inside old man's vital sign detection bracelet 1；It is right by sextuple motion sensor 5
The motion conditions of old man are detected in real time, and will be detected data classification storage according to detection time and detection type and be given birth to old man
In the memory 7 for ordering sign detection bracelet 1；
Detection of old man's vital sign detection bracelet 1 to pulse frequency, arteries and veins rule, there is following five kinds of modes in the step 3：
Method one, according to detection frequency, detection time, by old man's vital sign detect bracelet 1 automatic start detection pulse frequency,
Arteries and veins is restrained；
Method two, according to data processing centre 2 by terminal service machine 3 transmit come detection instruction, old man's vital sign
Detect bracelet 1 and start detection pulse frequency, arteries and veins rule；
Method three, the detection come is transmitted according to terminal service machine 3 and is instructed, old man's vital sign detection bracelet 1 starts detection
Pulse frequency, arteries and veins rule；
Method four, according to motion detection threshold, the detection bracelet 1 automatic start detection of old man's vital sign；
Method five, old man's vital sign detection bracelet 1 one detection period is 10 seconds, in detection process, between having
Have a rest arteries and veins, bigeminal pulse or trigeminal pulse irregular pulse rule, by old man's vital sign detection bracelet 1 increase detection time automatically, once
Detection time is changed into 15 seconds.
Step 4: detection data upload
The detection data of old man's vital sign detection bracelet 1 upload to be uploaded for passive type data, is initiated by terminal service machine 3
Old man's vital sign detection bracelet 1 is transmitted a request to, after old man's vital sign detection bracelet 1 is connected to order, is passed data to
The data are detected Android end software by old man's vital sign and are saved in terminal service machine by terminal service machine 3, terminal service machine 3
In 3, after transmitting successfully, terminal service machine 3 feeds back to old man's vital sign detection bracelet 1 successfully to be instructed, the inspection of old man's vital sign
Survey bracelet 1 and delete the detection data transmitted；
Step 5: motion compensation
Android end software is detected by old man's vital sign, influence function of the data to heart rate is detected according to amount of exercise, it is right
Heart rate detection is modified, and is obtained the heart rate under inactive state, is updated static heart rate monitor, and be saved in depositing for terminal service machine 3
In reservoir；
Wherein, the amount of exercise detection data are as follows to the influence function of heart rate：
Wherein, VIt is quietFor static heart rate；VIt is dynamicFor dynamic detection heart rate；Y is the motion cumulative amount of previous hour；N1, n2 are equal
For factor of influence parameter；
Step 6: detection data compliance Primary Assay
Old man's vital sign detects Android end software by the heart rate data under the inactive state in the step 5 and described
Normal cardiac rate peak in pulse detection model and minimum in step 2 are contrasted, and are bad inspection more than threshold value
Measured value, bad detection mark is stamped in the item data,
Heart rate data under inactive state is good detection value, at this between normal cardiac rate peak and minimum
Good sign is stamped on item data, and the data are detected into Android end software by old man's vital sign and are saved in terminal service machine
In 3；
Step 7: continuous detection curve fitting
Old man's vital sign detection Android end software is respectively fitted to the detection data with good sign with time shaft
On static heart rate matched curve, Dynamic Heart Rate matched curve, rhythm of the heart matched curve and curve movement；Specifically approximating method is：X
Axle is in units of hour, and temporally equal distribution, Y value are the detection data with good sign, and curve is using least square
The method that method is smoothed to scatterplot numerical value curve.
Matched curve in the step 7 includes following eight kinds：
Three months four kinds of Moving Averages, respectively heart rate fitting averaged curve, Dynamic Heart Rate fitting averaged curve, the rhythm of the heart
Averaged curve and motion averaged curve are fitted,
Four kinds of detection curve, respectively static heart rate matched curve, Dynamic Heart Rate matched curve, rhythm of the heart matched curve and fortune
Moving curve；
The static heart rate matched curve is the timesharing averaged curve in 24 hours of accumulative personal static heart rate data,
For the curve using the time as X-axis, unit is hour, and Y-axis is HR values, unit be number/point；
The Dynamic Heart Rate matched curve is to add up the timesharing curve in 24 hours of personal Dynamic Heart Rate data, the song
For line using the time as X-axis, unit is hour, and Y-axis is HR values, unit be number/point；
The rhythm of the heart matched curve is averaged for the timesharing in 24 hours of accumulative personal pulse interval time numerical value twice
Curve, the curve is using the time as X-axis, and unit is hour, and Y-axis is pulse interval time numerical value, unit are millisecond twice；
Described curve movement is timesharing curve of the individual sports numerical value in 24 hours, and the curve is single using the time as X-axis
Position is hour, and Y-axis is motion value.
Step 8: detection demarcation
Old man detects Android end software by old man's vital sign and manually selects current health status, including normal and do not relax
Clothes；
Old man periodically demarcates to pulse detection, and scaling method is old man after static 10 minutes, the inspection of old man's vital sign
Bracelet 1 is surveyed with cardia with height, selects pulse to demarcate by old man's vital sign detection Android end software, terminal service machine 3
This instruction is passed to old man's vital sign by bluetooth communication and detects bracelet 1, old man's vital sign detection bracelet 1 carries out arteries and veins
Fight detection, after detection, result is passed into terminal service machine 3 by Bluetooth communication modules 8, terminal service machine 3 leads to the data
Cross 4G networks or wifi network passes to data processing centre 2；
Step 9: data upload
Terminal service machine 3 passes raw sensor data, amendment data and nominal data by 4G networks or wifi network
It is sent to data processing centre 2；
Step 10: mobile offset correction
Nearly trimestral static heart rate matched curve, Dynamic Heart Rate matched curve, rhythm of the heart matched curve and motion are bent
Line, respective rolling average curve is taken to form heart rate fitting averaged curve, Dynamic Heart Rate is intended as respective normalized curve respectively
Close averaged curve, rhythm of the heart fitting averaged curve and motion averaged curve.
The rhythm of the heart of demarcation in nearly three months, heart rate nominal data do 10-20 weights, respectively with the above-mentioned static heart
Rate fitting averaged curve, rhythm of the heart fitting averaged curve are averaged, and form new static heart rate fitting averaged curve and the new heart
Rule is fitted bent averaged curve；
Step 11: state target
The health status inputted by old man in the step 8, heart rate police's value is set to reach the standard grade and guard against offline；
Three months old men are inputted into the 90% of the average value of uncomfortable detection data higher than static heart rate matched curve
Reached the standard grade as heart rate police's value,
Three months old men are inputted into the 110% of the average value of uncomfortable detection data less than static heart rate matched curve
It is worth as heart rate police offline；
Step 12: pulse detection model and averaged curve issue
Data processing centre 2 is described Step 10: heart rate police's value in 11 is reached the standard grade, heart rate guards against offline, new static state
Heart rate fitting averaged curve, the new rhythm of the heart are fitted bent averaged curve, Dynamic Heart Rate fitting averaged curve and motion averaged curve
Terminal service machine 3 is issued to by 4G networks or wifi network；
Step 13: matched curve shows
Static heart rate matched curve through over-fitting, Dynamic Heart Rate matched curve, rhythm of the heart fitting in the step 7 is bent
Line and curve movement detect Android end/server software by old man's vital sign and user are showed, while number
According to processing center 2 averaged curve, Dynamic Heart Rate fitting averaged curve, rhythm of the heart fitting are fitted in the heart rate that step 12 issues averagely
Curve, motion averaged curve are shown respectively with different colors.
Claims (10)
1. old man's dynamic pulse continuous detecting system, it is characterized in that：Including old man's vital sign detection bracelet (1), data processing
Center (2) and terminal service machine (3),
Old man's vital sign detection bracelet (1) be internally provided with pulse transducer (4), six-dimension acceleration sensor (5), in
Entreat controller (6), memory (7) and Bluetooth communication modules (8)；The pulse transducer (4), six-dimension acceleration sensor (5),
Memory (7) and Bluetooth communication modules (8) are connected with central controller (6) respectively；
The data processing centre (2) includes server (9), interchanger (10), gateway (11), hardware firewall (12), data
Storehouse memorizer (13) and old man's vital sign detecting system memory (14)；The server (9) respectively with interchanger (10), number
Connected according to storehouse memorizer (13) and old man's vital sign detecting system memory (14)；The interchanger (10) and hardware firewall
(12) connect；The hardware firewall (12) is connected with gateway (11)；
The terminal service machine (3) includes being provided with smart mobile phone (15) and flat board that Android 4.0 carries Bluetooth function with adjustment of the printing plate
Computer (16)；
Old man's vital sign detection bracelet (1) is connected by bluetooth module (8) with terminal service machine (3)；The terminal clothes
Business machine (3) passes sequentially through gateway (11), hardware firewall (12) by 4G communication modules or wifi communication modules and exchanged
Machine (10) is connected with server (9) afterwards.
2. old man's dynamic pulse continuous detecting system according to claim 1, it is characterized in that：Old man's vital sign inspection
Examining system includes old man's vital sign detection Android end software and old man's vital sign detecting system service terminal software, wherein described
Old man's vital sign detects Android end software installation in smart mobile phone (15) and tablet personal computer (16)；Old man's vital sign
Detecting system service terminal software is installed in old man's vital sign detecting system memory (14).
3. old man's dynamic pulse continuous detecting method, using old man's dynamic pulse continuous detecting system as claimed in claim 1,
It is characterized in that：Comprise the following steps, and following steps are sequentially carried out,
Step 1: the model parameter of the log-on message of old man, the log-on message of children and old man is passed through into old man's vital sign
Detection Android end software is entered into terminal service machine (3)；
After the completion of typing, parameter information is delivered to corresponding old man's vital sign by Bluetooth transmission and examined by terminal service machine (3)
Bracelet (1) is surveyed, while the information is passed to data processing centre (2) by terminal service machine (3) by 4G networks or wifi network；
Step 2: data processing centre (2) is extracted by the parameter information of typing from the model library of archival memory (13)
The corresponding pulse detection model met, and the parameter information of the pulse detection model is passed to by 4G networks or wifi network
Terminal service machine (3), terminal service machine (3) pass to old man's vital sign by Bluetooth communication modules again and detect bracelet (1)；
Step 3: old man's vital sign detection bracelet (1) is detected by pulse transducer (4) to pulse frequency, the arteries and veins rule of old man,
Data after detection are saved in the internal memory (7) of old man's vital sign detection bracelet (1)；Pass through sextuple motion sensor
(5) motion conditions of old man are detected in real time, and arrived according to detection time and detection type by data classification storage is detected
In the memory (7) of old man's vital sign detection bracelet (1)；
Step 4: detection data upload
The detection data of old man's vital sign detection bracelet (1) upload to be uploaded for passive type data, is initiated by terminal service machine (3)
Old man's vital sign detection bracelet (1) is transmitted a request to, after old man's vital sign detection bracelet (1) is connected to order, data are passed
Terminal service machine (3) is passed, the data are detected Android end software by old man's vital sign and are saved in end by terminal service machine (3)
Hold in server (3), after transmitting successfully, terminal service machine (3) feeds back to old man's vital sign detection bracelet (1) successfully to be instructed,
Old man's vital sign detection bracelet (1) deletes the detection data transmitted；
Step 5: motion compensation
Android end software is detected by old man's vital sign, influence function of the data to heart rate is detected according to amount of exercise, to heart rate
Detection is modified, and is obtained the heart rate under inactive state, is updated static heart rate monitor, and be saved in the storage of terminal service machine (3)
In device；
Wherein, the amount of exercise detection data are as follows to the influence function of heart rate：
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Wherein, VIt is quietFor static heart rate；VIt is dynamicFor dynamic detection heart rate；Y is the motion cumulative amount of previous hour；N1, n2 are shadow
Ring factor parameter；
Step 6: detection data compliance Primary Assay
Old man's vital sign detects Android end software by the heart rate data under the inactive state in the step 5 and the step
Normal cardiac rate peak in pulse detection model and minimum in two are contrasted, and are bad detected value more than threshold value,
Bad detection mark is stamped in the item data,
Heart rate data under inactive state is good detection value, in the item number between normal cardiac rate peak and minimum
According to above stamping good sign, and the data are detected into Android end software by old man's vital sign and are saved in terminal service machine (3)
It is interior；
Step 7: continuous detection curve fitting
Detection data with good sign are fitted to static state by old man's vital sign detection Android end software with time shaft respectively
On heart rate matched curve, Dynamic Heart Rate matched curve, rhythm of the heart matched curve and curve movement；
Step 8: detection demarcation
Old man detects Android end software by old man's vital sign and manually selects current health status, including normal and uncomfortable；
Old man periodically demarcates to pulse detection, and scaling method is old man after static 10 minutes, old man's vital sign detection hand
Ring (1), with height, selects pulse to demarcate, terminal service machine (3) with cardia by old man's vital sign detection Android end software
This instruction is passed to old man's vital sign by bluetooth communication and detects bracelet (1), old man's vital sign detection bracelet (1) enters
Row pulse detection, after detection, result is passed into terminal service machine (3), terminal service machine (3) by Bluetooth communication modules (8)
The data are passed to data processing centre (2) by 4G networks or wifi network；
Step 9: data upload
Terminal service machine (3) transmits raw sensor data, amendment data and nominal data by 4G networks or wifi network
To data processing centre (2)；
Step 10: mobile offset correction
Nearly trimestral static heart rate matched curve, Dynamic Heart Rate matched curve, rhythm of the heart matched curve and curve movement, point
Respective rolling average curve is not taken to form heart rate fitting averaged curve, Dynamic Heart Rate fitting is put down as respective normalized curve
Equal curve, rhythm of the heart fitting averaged curve and motion averaged curve,
The rhythm of the heart of demarcation in nearly three months, heart rate nominal data do 10-20 weights, intend respectively with above-mentioned static heart rate
Conjunction averaged curve, rhythm of the heart fitting averaged curve are averaged, and form new static heart rate fitting averaged curve and the new rhythm of the heart is intended
Close bent averaged curve；
Step 11: state target
The health status inputted by old man in the step 8, heart rate police's value is set to reach the standard grade and guard against offline；
Using three months old men input the 90% of the average value of uncomfortable detection data higher than static heart rate matched curve as
Heart rate police's value is reached the standard grade,
Using three months old men input the 110% of the average value of uncomfortable detection data less than static heart rate matched curve as
Heart rate police value is offline；
Step 12: pulse detection model and averaged curve issue
Data processing centre (2) is described Step 10: the static heart that heart rate police's value in 11 is reached the standard grade, heart rate warning is offline, new
Rate fitting averaged curve, the new rhythm of the heart are fitted bent averaged curve, Dynamic Heart Rate fitting averaged curve and motion averaged curve and led to
Cross 4G networks or wifi network is issued to terminal service machine (3)；
Step 13: matched curve shows
By the static heart rate matched curve through over-fitting in the step 7, Dynamic Heart Rate matched curve, rhythm of the heart matched curve with
And curve movement detects Android end/server software by old man's vital sign and user is showed, while at data
Reason center (2) is fitted averaged curve, Dynamic Heart Rate fitting averaged curve, the average song of rhythm of the heart fitting in the heart rate that step 12 issues
Line, motion averaged curve color corresponding to are shown.
4. old man's dynamic pulse continuous detecting method according to claim 3, it is characterized in that：The old man is more than 60 years old
Old man, vital sign detection bracelet (1) detection to old man is in the case of old man's no manual intervention's normal life, according to inspection
The detection that gauge is then carried out automatically, its detection project are heart rate and the rhythm of the heart, and its detection method is Oscillographic Determination method.
5. old man's dynamic pulse continuous detecting method according to claim 3, it is characterized in that：Model in the step 1
Parameter includes：The body weight of wearing old man, sex, age, health status, watch wear custom, require to move step number, old man daily
Health status, common chronic disease, height, body weight, sex, age, normal cardiac rate peak, minimum, heart rate police's value reach the standard grade and
Heart rate police value is offline.
6. old man's dynamic pulse continuous detecting method according to claim 3, it is characterized in that：Old man's vital sign inspection
Surveying the function of Android end software includes：Parameter setting, lookup bracelet, pulse detection, detection curve datagram and personal health carry
Wake up.
7. old man's dynamic pulse continuous detecting method according to claim 3, it is characterized in that：Old man's vital sign inspection
The function of examining system service terminal software includes：Motion is fitted averaged curve manual setting to Heart rate influences parameter maintenance, heart rate, moved
The manual setting of state heart rate fitting averaged curve, the manual setting of rhythm of the heart fitting averaged curve, the manual setting of motion averaged curve, individual
Healthalert setting, healthy news release, statement-of-health, area health are analyzed and divide Disease kind analysis.
8. old man's dynamic pulse continuous detecting method according to claim 3, it is characterized in that：Old man gives birth in the step 3
Detection of the sign detection bracelet (1) to pulse frequency, arteries and veins rule is ordered, there are five kinds of modes：
Method one, according to detection frequency, detection time, by old man's vital sign detection bracelet (1) automatic start detection pulse frequency, arteries and veins
Rule；
Method two, according to data processing centre (2) by terminal service machine (3) transmit come detection instruction, old man's vital sign
Detect bracelet (1) and start detection pulse frequency, arteries and veins rule；
Method three, the detection come is transmitted according to terminal service machine (3) and is instructed, old man's vital sign detection bracelet (1) starts detection
Pulse frequency, arteries and veins rule；
Method four, according to motion detection threshold, detection bracelet (1) automatic start detection of old man's vital sign；
Method five, old man's vital sign detection bracelet (1) one detection period is 10 seconds, in detection process, has interval
The irregular pulse rule of arteries and veins, bigeminal pulse or trigeminal pulse, detect bracelet (1) by old man's vital sign increases detection time automatically, once
Detection time is changed into 15 seconds.
9. old man's dynamic pulse continuous detecting method according to claim 3, it is characterized in that：Fitting in the step 7
Curve includes following eight kinds：
Three months four kinds of Moving Averages, respectively heart rate fitting averaged curve, Dynamic Heart Rate fitting averaged curve, rhythm of the heart fitting
Averaged curve and motion averaged curve,
Four kinds of detection curve, respectively static heart rate matched curve, Dynamic Heart Rate matched curve, rhythm of the heart matched curve and motion are bent
Line；
The static heart rate matched curve is to add up the timesharing averaged curve in 24 hours of personal static heart rate data, the song
For line using the time as X-axis, unit is hour, and Y-axis is HR values, unit be number/point；
The Dynamic Heart Rate matched curve be add up personal Dynamic Heart Rate data the timesharing curve in 24 hours, the curve with
Time is X-axis, and unit is hour, and Y-axis is HR values, unit be number/point；
The rhythm of the heart matched curve is the timesharing averaged curve in 24 hours of accumulative personal pulse interval time numerical value twice,
The curve is using the time as X-axis, and unit is hour, and Y-axis is pulse interval time numerical value, unit are millisecond twice；
Described curve movement is timesharing curve of the individual sports numerical value in 24 hours, and using the time as X-axis, unit is the curve
Hour, Y-axis is motion value.
10. old man's dynamic pulse continuous detecting method according to claim 3, it is characterized in that：It is good in the step 7
The specific method that the detection data of mark are fitted with time shaft is：X-axis is in units of hour, and temporally equal distribution, Y value are tool
There are the detection data of good sign, curve is the method for scatterplot numerical value being smoothed to using least square method curve.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108937957A (en) * | 2018-06-05 | 2018-12-07 | 武汉久乐科技有限公司 | Detection method, device and detection device |
| CN110503302A (en) * | 2019-07-18 | 2019-11-26 | 长春市万易科技有限公司 | A kind of culture endowment Evaluation On Effects The Activities method |
| CN112869725A (en) * | 2021-02-23 | 2021-06-01 | 佛山科学技术学院 | Multichannel pulse acquisition system and method |
| CN113397499A (en) * | 2021-07-23 | 2021-09-17 | 上海中医药大学 | Pulse wave physiological information extraction method |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20140056752A (en) * | 2012-10-31 | 2014-05-12 | 건양대학교산학협력단 | Fitness care system and method using automatic motion measure and custom health data-base |
| CN104138253A (en) * | 2013-05-11 | 2014-11-12 | 吴健康 | Noninvasive continuous arterial blood pressure measuring method and equipment |
| CN105249945A (en) * | 2015-11-05 | 2016-01-20 | 沈阳大学 | Intelligent old-age care monitoring system |
| CN105433934A (en) * | 2015-11-07 | 2016-03-30 | 成都艾克尔特医疗科技有限公司 | Method for personal health examination and evaluation based on vital sign monitor bracelet |
| CN105832315A (en) * | 2015-01-16 | 2016-08-10 | 中国科学院上海高等研究院 | Remote monitor system immune from individual state of motion, environment and locations |
| KR101648076B1 (en) * | 2016-02-05 | 2016-08-12 | 주식회사 지비콘 | Senior citizen safety monitoring system and method using beacon signal |
| CN106037749A (en) * | 2016-05-18 | 2016-10-26 | 武汉大学 | Old people falling monitoring method based on smart mobile phone and wearable device |
| KR20170017648A (en) * | 2015-08-07 | 2017-02-15 | 엘지전자 주식회사 | A mehthod of measuring a resting heart rate |
| CN106419868A (en) * | 2016-08-18 | 2017-02-22 | 智云康铠（北京）科技股份有限公司 | Vital sign monitoring system |
| CN106491105A (en) * | 2016-11-02 | 2017-03-15 | 沈阳大学 | A kind of home for the aged's intelligent guarding system |
| CN106650303A (en) * | 2017-02-28 | 2017-05-10 | 中山市孝美信息科技有限公司 | Old people health intelligent monitoring system |
| US20170156609A1 (en) * | 2015-06-19 | 2017-06-08 | Boe Technology Group Co., Ltd. | Pulse cycle detection device and method, and wearable electronic device |
| CN106875629A (en) * | 2017-03-07 | 2017-06-20 | 吉林真才信息技术有限公司 | Family endowment system and its control method based on body-sensing net |
| WO2017109910A1 (en) * | 2015-12-24 | 2017-06-29 | 富士通株式会社 | Electronic device, determination method, and determination program |
| CN107126203A (en) * | 2016-02-28 | 2017-09-05 | 南京全时陪伴健康科技有限公司 | Human health information measures display system in real time |
-
2017
- 2017-09-29 CN CN201710908352.0A patent/CN107669248B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20140056752A (en) * | 2012-10-31 | 2014-05-12 | 건양대학교산학협력단 | Fitness care system and method using automatic motion measure and custom health data-base |
| CN104138253A (en) * | 2013-05-11 | 2014-11-12 | 吴健康 | Noninvasive continuous arterial blood pressure measuring method and equipment |
| CN105832315A (en) * | 2015-01-16 | 2016-08-10 | 中国科学院上海高等研究院 | Remote monitor system immune from individual state of motion, environment and locations |
| US20170156609A1 (en) * | 2015-06-19 | 2017-06-08 | Boe Technology Group Co., Ltd. | Pulse cycle detection device and method, and wearable electronic device |
| KR20170017648A (en) * | 2015-08-07 | 2017-02-15 | 엘지전자 주식회사 | A mehthod of measuring a resting heart rate |
| CN105249945A (en) * | 2015-11-05 | 2016-01-20 | 沈阳大学 | Intelligent old-age care monitoring system |
| CN105433934A (en) * | 2015-11-07 | 2016-03-30 | 成都艾克尔特医疗科技有限公司 | Method for personal health examination and evaluation based on vital sign monitor bracelet |
| WO2017109910A1 (en) * | 2015-12-24 | 2017-06-29 | 富士通株式会社 | Electronic device, determination method, and determination program |
| KR101648076B1 (en) * | 2016-02-05 | 2016-08-12 | 주식회사 지비콘 | Senior citizen safety monitoring system and method using beacon signal |
| CN107126203A (en) * | 2016-02-28 | 2017-09-05 | 南京全时陪伴健康科技有限公司 | Human health information measures display system in real time |
| CN106037749A (en) * | 2016-05-18 | 2016-10-26 | 武汉大学 | Old people falling monitoring method based on smart mobile phone and wearable device |
| CN106419868A (en) * | 2016-08-18 | 2017-02-22 | 智云康铠（北京）科技股份有限公司 | Vital sign monitoring system |
| CN106491105A (en) * | 2016-11-02 | 2017-03-15 | 沈阳大学 | A kind of home for the aged's intelligent guarding system |
| CN106650303A (en) * | 2017-02-28 | 2017-05-10 | 中山市孝美信息科技有限公司 | Old people health intelligent monitoring system |
| CN106875629A (en) * | 2017-03-07 | 2017-06-20 | 吉林真才信息技术有限公司 | Family endowment system and its control method based on body-sensing net |
Non-Patent Citations (2)
| Title |
|---|
| 王丽飞, 巴卫华, 张雪梅: "放松慢跑锻炼增强中老年高血压病患者心血管功能和减少靶器官损害", 中国运动医学杂志, no. 01 * |
| 那兰, 刘波, 陈玉宝: "连续运动过程中心率与心搏量、心输出量变化关系", 体育学刊, no. 01 * |
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| CN108937957A (en) * | 2018-06-05 | 2018-12-07 | 武汉久乐科技有限公司 | Detection method, device and detection device |
| CN108937957B (en) * | 2018-06-05 | 2021-11-09 | 武汉久乐科技有限公司 | Detection method, device and detection equipment |
| CN110503302A (en) * | 2019-07-18 | 2019-11-26 | 长春市万易科技有限公司 | A kind of culture endowment Evaluation On Effects The Activities method |
| CN110503302B (en) * | 2019-07-18 | 2023-06-06 | 长春市万易科技有限公司 | Cultural aged care activity effect evaluation method |
| CN112869725A (en) * | 2021-02-23 | 2021-06-01 | 佛山科学技术学院 | Multichannel pulse acquisition system and method |
| CN113397499A (en) * | 2021-07-23 | 2021-09-17 | 上海中医药大学 | Pulse wave physiological information extraction method |
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