CN107194162A - The exercise load risk evaluating system and appraisal procedure of a kind of vital sign data - Google Patents
The exercise load risk evaluating system and appraisal procedure of a kind of vital sign data Download PDFInfo
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- CN107194162A CN107194162A CN201710337808.2A CN201710337808A CN107194162A CN 107194162 A CN107194162 A CN 107194162A CN 201710337808 A CN201710337808 A CN 201710337808A CN 107194162 A CN107194162 A CN 107194162A
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Abstract
The invention discloses including collecting unit, server, transmission unit, feedback unit, data analysis backstage and battery, the collecting unit includes the intelligence wearing collecting device of integrated a variety of biology sensors, physiological data acquisition module, the server carries out storage classification to the data of collection and called with background analysis contrast, the battery is powered to intelligent acquisition equipment, the collecting unit, transmission unit is sequentially connected electrically, data information transfer is given data background analysis system by the transmission unit, comparative analysis is complete again by intelligently dressing the display screen that collecting device is provided with described in network transmission.The vital sign data of user during present invention collection motion, in combination with individual height, body weight, age, sex, the medical history situation of itself, the exercise data norm of individual is set up by big data cloud computing, whether moderate exercise load can effectively be evaluated and tested, health guidance is given, can more prevent risk caused by excessive movement.
Description
Technical field
The present invention relates to the exercise load risk assessment of medical treatment ＆ health technical field, more particularly to a kind of vital sign data
System and appraisal procedure.
Background technology
In the fast-developing society of high-tech, informationization, market economy, big data has penetrated into each current row
Industry and operation function field, as excavation and utilization of the important factor of production people for mass data, imply that a new ripple
The arrival " " big data " of increase in productivity and consumer surplus's tide the fields such as physics, biology, environmental ecology with
And there is existing time in the industry such as military, financial, communication, but cause people because of the development of internet and information industry in recent years
To pay close attention to big datas as the another big subversive technological revolution cloud computings of IT industries after cloud computing, Internet of Things be mainly number
Keeping, the place accessed and channel are provided according to assets, and the operation that data are only real valuable assets enterprises is handed over
Person to person's interactive information, positional information in goods logistic information in easy information, internet world, internet world etc., its
Quantity will much surmount the bearing capacity of existing enterprise's IT architecture and infrastructure, and requirement of real-time also will surmount existing significantly
The analysis of computing capability big datas filters out useful information from mass data, is then translated the information into by various means
Insight, so that correct decisions are made, and development of finally promoting business.
By a series of analyzing and processing, big data can help enterprise to formulate wise and practicable strategy, before acquisition
The customer insight not having, supports customers buying behavior, and builds new business model, and then wins competitive advantage.
Equally our body can also produce volume of data during exercise, and we can also be by gathering everyone life
Characteristic, using newest big data technology, cloud computing technology, BI and data mining technology, is formed to sports load
Risk assessment has New Century Planned Textbook, the system of comprehensive, intelligent, predictive, visual profound displaying analytical effect, discloses
Global regularity and endogenous development trend in motion process, disclose the unique trait of individual and form individual character exercise data, will transport
Macroscopical general trend of events and the microscopic individual qualitative, quantitative description of each movement human in dynamic are organically combined, and are reached support and are formed physical culture
Industry new opplication scene and new service model." exercise load big data " is with stronger decision edge, sees clearly discovery power and stream
Magnanimity, high growth rate and the diversified sport information assets of journey optimization ability.
Intelligence wearing technology related to other adds physiological data collection -- anxiety value, if the addition without anxiety value
Exercise load risk assessment will be inaccurate, but vital sign data of the people when taking exercise is difficult monitoring, the only life of various dimensions
Whether characteristic could effectively evaluate and test exercise load using cloud computing moderate, give health guidance, and prevention excessive movement draws
The risk risen.
The content of the invention
The technical problem existed based on background technology, the present invention proposes a kind of exercise load risk of vital sign data
Assessment system and appraisal procedure.The vital sign data of user during collection motion, in combination with the situation of individual fitness,
Vital sign data norm in individual movement is set up by big data cloud computing, can effectively evaluate and test whether exercise load fits
In, health guidance is given, can more prevent risk caused by excessive movement.
A kind of exercise load risk evaluating system of vital sign data proposed by the present invention, including collecting unit, service
Device, transmission unit, feedback unit, data analysis backstage and battery, the collecting unit include integrated a variety of bio-sensings
Intelligence wearing collecting device, the physiological data acquisition module of device, the server carry out storage to the data of collection and sorted out with after
Platform analysis contrast is called, and the battery is powered to intelligent acquisition equipment, and the collecting unit, transmission unit are sequentially connected electrically,
Data information transfer is given data background analysis system by the transmission unit, has been contrasted again by intelligently being dressed described in network transmission
The display screen that collecting device is provided with.
Preferably, being provided with the collecting unit is used to detect human body anxiety value module, and the biology sensor includes adopting
Collect heart rate value, blood oxygen levels, respiratory rate, pressure value, electrocardio frequency, body temperature, state value sensor.
Preferably, the physiological data analysis module is used to analyze anxiety value, the anxiety value be people it is excited, glad,
The biological electricity that sympathetic nerve terminal is produced under angry, frightened, depression and anxiety.
A kind of anxiety value appraisal procedure of the exercise load risk evaluating system of vital sign data, physiological data analysis mould
Block analysis anxiety value appraisal procedure step is as follows：
1) judge whether anxiety value is normal, is, Direct Modeling analysis is not fed back, no, and data are carried out after being modeled analysis
Intelligent acquisition equipment is fed back to after stream comparative analysis；
2) unusual fluctuations of anxiety value exceed default difference value, carry out heart rate respiratory quotient analysis, and combine itself feelings of people
Condition is judged；
3) judged result to the unusual fluctuations of anxiety value carries out setting up norm；
4) progress data flow comparative analysis after norm is set up；
5) data feedback after data flow comparative analysis gives intelligent acquisition equipment.
Preferably, the own situation includes sex, age, height, body weight and medical history.
Preferably, the state that the anxiety value combination human body is in is divided into normal and abnormal two grades with time point, together
When combine heart rate, respiratory quotient data and be divided into Three Estate.
Preferably, the heart rate respiratory quotient detection includes blood oxygen, blood pressure and electrocardio.
Preferably, it is described to set up the otherness change that each data are analyzed for data flow for data norm, analysis knot
Fruit includes dangerous, three results of exception and the limit.
In the present invention, 1, when being moved by gathering user vital sign data, in combination with the individual situation of itself,
The exercise data norm of individual is set up by big data cloud computing, whether moderate, give strong if can effectively evaluate and test exercise load
Health is instructed, and can more prevent risk caused by excessive movement, multi-dimensional data combination anxiety value, in combination with big data cloud
Calculate, can more accurately judge exercise load risk；
2nd, physiological data analysis plate anxiety value is added, people is situations such as excited, glad, angry, fear, depression and anxiety
Under, sympathetic nerve terminal can all produce biological electricity, and we carry out statistical analysis by gathering the data, according to the change of sympathetic nerve
Change and differentiate whether human body is in a kind of abnormality, because normal condition is that human body is in a kind of excitatory state under motion state,
Once amount of exercise reaches to a certain degree, sympathetic nerve can change, it has been found that abnormal, in conjunction with other vital sign datas
Move towards trend analysis, whether synthetic determination human body is in abnormality, can preferably prevent risk caused by excessive movement；
3rd, the present whole world of the judge of anxiety value is all without standard, and we are the shapes that binding time utilizes big data with state
Into data variance, set up a norm, data below do a comparative analysis otherness, multi dimensional analysis with instant data
It is most rational solution, also avoids being influenceed by extraneous factor.
Brief description of the drawings
Fig. 1 is a kind of flow chart of the exercise load risk evaluating system of vital sign data；
Fig. 2 is the exercise load risk evaluating system circuit frame figure of vital sign data.
Embodiment
The present invention is made with reference to specific embodiment further to explain.
Embodiment
A kind of exercise load risk evaluating system of vital sign data, including including collecting unit, server storage with
Call, transmission unit, data analysis backstage and battery, the collecting unit includes the intelligence of integrated a variety of biology sensors
Collecting device is dressed, physiological data acquisition module is provided with while taking the lead in adding, the server is that the data of collection are deposited
Storage is sorted out contrasts the function of calling with background analysis, and the battery is powered to intelligence wearing collecting device, the collecting unit,
Transmission unit is sequentially connected electrically, and data information transfer is given data background analysis system by the transmission unit, has been contrasted and has been passed through again
Collecting device is intelligently dressed described in network transmission provided with display screen.The vital signs number of user during present invention collection motion
According to, in combination with the situation of individual fitness, the exercise data norm of individual is set up by big data cloud computing, can be effective
Evaluation and test exercise load it is whether moderate, give health guidance, can more prevent risk caused by excessive movement.
Being provided with collecting unit is used to detect human body anxiety value module, and the biology sensor includes collection heart rate value, blood
Oxygen value, respiratory rate, pressure value, electrocardio frequency, body temperature, state value sensor, physiological data analysis module are used to analyze anxiety
Value, the anxiety value is people's biological electricity that sympathetic nerve terminal is produced under excited, glad, angry, frightened, depression and anxiety, mould
Block actively discharges the impulse stimulation sympathetic nerve of certain numerical value, by the signal of feedback, judges whether human body is in abnormal shape
Condition, can more accurately judge abnormality of the human body under exercise load, present research institution is more by physiological data
Many concern physiological indexes, have ignored the collection of the data of psychology, are by scientific and technological level and sensor technology water before
Flat limitation, psychoreaction data are fed back by sympathetic nerve terminal biological electricity, are not controlled by human body subjective consciousness, can be more straight
Time of day of the reaction human body of sight under exercise load.
A kind of anxiety value appraisal procedure of the exercise load risk evaluating system of vital sign data, physiological data analysis mould
Block analysis anxiety value appraisal procedure step is as follows：
1) judge whether anxiety value is normal, is, Direct Modeling analysis is not fed back, no, and data are carried out after being modeled analysis
Intelligent acquisition equipment is fed back to after stream comparative analysis；
2) unusual fluctuations of anxiety value, carry out heart rate respiratory quotient analysis, and the own situation of combination people is judged；
3) judged result to the unusual fluctuations of anxiety value carries out setting up norm；
4) progress data flow comparative analysis after norm is set up；
5) data feedback after data flow comparative analysis gives intelligent acquisition equipment.
Wherein, own situation includes sex, age, height, body weight and medical history, state that anxiety value combination human body is in and
Time point is divided into normal and abnormal two grades, is divided into Three Estate, the inspection of heart rate respiratory quotient in combination with heart rate, respiratory quotient data
Survey includes blood oxygen, blood pressure and electrocardio, described to set up the otherness change that each data are analyzed for data flow for data norm,
Analysis result includes dangerous, three results of exception and the limit.
Three Estate according to：Exercise load grade is judged, and difference is we reference is also made to year with other equipment and technology
The factors such as age, sex, medical history are fluctuated standard according to certain rule, and a data and curves are formed with reference to big data cloud computing
Figure, is integrally judged according to the otherness of data.
MAX30003：Super low-power consumption, single channel integrated bio electromotive force AFE(analog front end)；
MAX30101：High sensitivity pulse blood oxygen instrument and heart rate sensor；
MAX30205：Industry rs only clinical body temperature transducer；
MAX32620：Super low-power consumption- M4F microcontrollers, realize that wearable device optimizes；
MAX14720：The minimum power management integrated circuit (PMIC) of industry quiescent current
Addition product：Inertial sensor (3 axis accelerometers, 6 axis accelerometers/gyroscope), atmosphere pressure sensor, flash memory
And low-power consumption bluetooth radio communication.
Simultaneously basic norm is set up using routine data：
Incremental exercise standard：The relation of exercise heart rate and exercise intensity.Maximum heart rate=220- ages；Big intensity fortune
It is dynamic：More than the 80% of maximum heart rate；Moderate exercise：The 60%-80% of maximum heart rate；Low-intensity is moved：Maximum heart rate
Less than 60%.
For example, the maximum heart rate of three kinds of intensity is respectively when the normal person of 30 years old is moved：(220-30) X80%
=190 times；Between (220-30) X (60%-80%)=114-152 times；Below (220-30) below X60%=114 time.
The calculation formula of optimum exercise heart rate：
Aerobic exercise target heart rate criterion calculation formula one：
Maximum heart rate=220- ages
Heart rate reserve=maximum heart rate-quiet heart rate
Optimum exercise heart rate (motion target heart rate)=heart rate reserve X (60%-80%)+quiet heart rate
For example：Someone is 40 years old, and heart rate when quiet is 80 times per minute.Calculate according to the method described above：Maximum heart rate 220-
40=180, heart rate reserve 180-85=100.Optimum exercise heart rate 100X60%=60,100X80%=80.80+60=
140,80+80=160 times.So his optimum exercise heart rate should be between 140-160 times.
When that is moving, intensity will be controlled, and allow heart rate to be best suitable between 140-160.It is too low, dynamics of losing weight
Not enough, it is too high then larger to body pressure.
Aerobic exercise target heart rate calculation formula two：Also one fairly simple algorithm is (if 40 with the 180- ages
More than year, just use the 170- ages)
For example, the people of 35 years old, motion target heart rate is exactly 180-35=145 times.And the people of 45 years old, move target center
Rate is exactly 170-45=125 times.
Heart rate refers to heartbeat number of times per minute.Normal adult is 60--100 beats/min, and women is fast less, and the elderly deceives slowly, youngster
Virgin fast, less than 3 years old children are more more than 100 beats/min, and all adult's hearts rate are more than 100 beats/min, and infant's heart rate is more than 150
Beat/min be tachycardias, heart rate be less than 60 beats/min.How maximum heart rate is calculated.
Maximum heart rate=220- ages.
Next any side of neck trunnion is please pinned with forefinger and middle finger, the beats write from memory in several 10 seconds, so
It is exactly beats per minute to be multiplied by 6 afterwards, both normal cardiac rate." the effective rhythm of the heart scope of aerobic exercise " of Healthy People should be maximum
Between the 65~85% of the rhythm of the heart.
General aerobic exercise (running) refers to:1st, heart rate brings up to the 60%--80% of normal cardiac rate；2nd, kept for 30 minutes
More than；Heart rate is not allowed in the 60%--80% mentioned here for heart rate being maintained at normal cardiac rate, 30 minutes referred to less than just
The 60%--80% of normal heart rate, but common people often run 20 minutes or even less time just feels tired, it is believed that and rest connects for a moment
It is the same race effect, but this idea is exactly wrong, energy source of the human body in each discrete consuming of motion
It is different, only in having oxygen consumption for a long time, body can just consume muscle as the energy.
The foregoing is only a preferred embodiment of the present invention, but protection scope of the present invention be not limited thereto,
Any one skilled in the art the invention discloses technical scope in, technique according to the invention scheme and its
Inventive concept is subject to equivalent substitution or change, should all be included within the scope of the present invention.
Claims (8)
1. a kind of exercise load risk evaluating system of vital sign data, it is characterised in that including collecting unit, server,
Transmission unit, feedback unit, data analysis backstage and battery, the collecting unit include integrated a variety of biology sensors
Intelligence wearing collecting device, physiological data acquisition module, the server carry out storage to the data of collection and sorted out and backstage point
Analysis contrast is called, and the battery is powered to intelligent acquisition equipment, and the collecting unit, transmission unit are sequentially connected electrically, described
Data information transfer is given data background analysis system by transmission unit, has been contrasted again by the way that intelligently wearing is gathered described in network transmission
The display screen that equipment is provided with.
2. a kind of exercise load risk evaluating system of vital sign data according to claim 1, it is characterised in that institute
Stating to be provided with collecting unit is used to detect human body anxiety value module, and the biology sensor includes collection heart rate value, blood oxygen levels, exhaled
Inhale frequency, pressure value, electrocardio frequency, body temperature, state value sensor.
3. a kind of exercise load risk evaluating system of vital sign data according to claim 2, it is characterised in that institute
Stating physiological data analysis module is used to analyze anxiety value, and the anxiety value is people excited, glad, angry, frightened, depressed, burnt
Consider the biological electricity that lower sympathetic nerve terminal is produced.
4. according to a kind of anxiety value of the exercise load risk evaluating system of any described vital sign datas of claim 1-3
Appraisal procedure, it is characterised in that the physiological data analysis module analysis anxiety value appraisal procedure step is as follows：
1) judge whether anxiety value is normal, is, Direct Modeling classification analysis does not feed back, no, be modeled after classification analysis and carry out
Intelligent acquisition equipment is fed back to after data flow comparative analysis；
2) unusual fluctuations of anxiety value exceed default changing value, carry out heart rate, blood oxygen saturation, respiratory quotient analysis, and combine
The own situation of people is judged；
3) judged result to the unusual fluctuations of anxiety value carries out setting up norm；
4) progress data flow comparative analysis after norm is set up；
5) data feedback after data flow comparative analysis gives intelligent acquisition equipment.
5. a kind of appraisal procedure of the exercise load risk evaluating system of vital sign data according to claim 4, its
It is characterised by, the individual own situation of the combination includes sex, age, height, body weight and medical history.
6. a kind of anxiety value assessment side of the exercise load risk evaluating system of vital sign data according to claim 4
Method, it is characterised in that the state that the anxiety value combination human body is in is divided into normal and abnormal two grades with time point, simultaneously
It is divided into Three Estate with reference to heart rate, respiratory quotient data.
7. a kind of appraisal procedure of the exercise load risk evaluating system of vital sign data according to claim 6, its
It is characterised by, the heart rate respiratory quotient detection includes blood oxygen, blood pressure and electrocardio.
8. a kind of appraisal procedure of the exercise load risk evaluating system of vital sign data according to claim 4, its
It is characterised by, described to set up the otherness change that each data are analyzed for data flow for data norm, analysis result includes
Dangerous, three results of exception and the limit.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112401840A (en) * | 2020-11-17 | 2021-02-26 | 北京体育大学 | Movement risk prediction method and system based on wearable movement equipment |
| CN117132431A (en) * | 2023-10-26 | 2023-11-28 | 山东尚可网络科技有限公司 | Training management system for infant sports education |
-
2017
- 2017-05-15 CN CN201710337808.2A patent/CN107194162A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112401840A (en) * | 2020-11-17 | 2021-02-26 | 北京体育大学 | Movement risk prediction method and system based on wearable movement equipment |
| CN117132431A (en) * | 2023-10-26 | 2023-11-28 | 山东尚可网络科技有限公司 | Training management system for infant sports education |
| CN117132431B (en) * | 2023-10-26 | 2024-01-26 | 山东尚可网络科技有限公司 | Training management system for infant sports education |
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| PB01 | Publication | ||
| PB01 | Publication | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20170915 Address after: Peixian city of Xuzhou province Jiangsu 221600 towns Pei Yang Peng Zhuang No. 65 Applicant after: Li Changpeng Address before: 210000 Xuanwu District, Jiangsu, Xiaolingwei 1, Nanjing Applicant before: Wang Shuhua |
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| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170922 |