CN106126959A - A kind of exercise risk analyzes method and apparatus - Google Patents
A kind of exercise risk analyzes method and apparatus Download PDFInfo
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- CN106126959A CN106126959A CN201610570678.2A CN201610570678A CN106126959A CN 106126959 A CN106126959 A CN 106126959A CN 201610570678 A CN201610570678 A CN 201610570678A CN 106126959 A CN106126959 A CN 106126959A
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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Abstract
The exercise risk that the embodiment of the present invention provides analyzes method and apparatus, device for prior art can only provide the test data that specialty is dull, the technical problem of health status when user actual can not be helped to understand motion, the exercise risk provided analyzes method and apparatus, the server of application obtains eartbeat interval during user movement by data collection station, obtain real-time heart rate during user movement according to eartbeat interval, obtain phase standard deviation between whole hole heartbeats of user according to the eartbeat interval of user and the motion duration of required measuring and calculating campaign.Obtain phase standard deviation between the maximum heart rate of user and minimum whole hole heartbeat, obtain the exercise risk value of motion based on phase standard deviation between whole hole heartbeats and real-time heart rate, report to the police when monitoring exercise risk value and being in danger threshold.Reach the real-time heart beat by obtaining and calculated the exercise risk value of user's current time, reach danger threshold alarm to remind user to change the technique effect of exercise intensity.
Description
Technical field
The present invention relates to data processing field, analyze method and apparatus in particular to a kind of exercise risk.
Background technology
Now people more and more focus on healthy, especially focus on by motion mode reach healthy by the way of.
There are various monitoring moving data on existing market to realize the device of science motion, but these devices all can only provide one
The test data of a little relatively professional dullnesses, do not have any practical significance for user, it has not been convenient to being good for when user understands motion
Health state.
Summary of the invention
The present invention provides a kind of exercise risk to analyze method and apparatus, it is intended to improve the problems referred to above.
The present invention provide a kind of method of motion analysis, be applied to server, described method includes: described server according to
Eartbeat interval obtains the real-time heart rate of described user.Described use is obtained according to described eartbeat interval and the measuring and calculating duration being obtained ahead of time
Phase standard deviation between the whole hole heartbeats in described measuring and calculating duration of the family.Obtain maximum heart rate and the whole hole of minimum of described user
Phase standard deviation between property heartbeat, according to phase standard deviation, body between the described maximum heart rate of described user, the whole hole heartbeat of described minimum
Body type, described real-time heart rate and described real-time criteria difference obtain the exercise risk value of described user, in described exercise risk value
It is in default danger threshold alarm.
Preferably, described complete in described measuring and calculating duration of described user is obtained according to described eartbeat interval and measuring and calculating duration
Between portion's hole heartbeat, phase standard deviation includes: obtain the described user multiple eartbeat intervals in described measuring and calculating duration and eartbeat interval
Quantity, obtains the average of the plurality of eartbeat interval, according to the plurality of eartbeat interval, described eartbeat interval quantity and described
The average of multiple eartbeat intervals obtains phase standard deviation between described whole hole heartbeats.
Preferably, described according to the plurality of eartbeat interval, described eartbeat interval quantity and the plurality of eartbeat interval
Average obtains phase standard deviation between described whole hole heartbeats and includes: according to formula:Obtain
Phase standard deviation between this user whole hole heartbeats in described measuring and calculating duration, wherein, RRiRepresenting eartbeat interval, u represents described
The average of multiple eartbeat intervals in measuring and calculating duration, N is the quantity of the interior described eartbeat interval obtained of described measuring and calculating duration.
Preferably, phase standard deviation, health class between the described maximum heart rate according to described user, minimum all hole heartbeats
Type, real-time heart rate, real-time criteria difference obtain the exercise risk value of described user, including: according to the maximum heart rate of described user and
Between the whole hole heartbeat of described minimum, phase standard deviation obtains the greateset risk radix of described user.Health class according to described user
Type, described real-time heart rate, the poor and described greateset risk radix of described real-time criteria obtain the exercise risk value of described user.
Preferably, between the described maximum heart rate according to described user and minimum whole hole heartbeat, phase standard deviation obtains described
The greateset risk radix of user includes: according to formula: RCNmax=HRmax/SDNNmin obtains the greateset risk base of this user
Number, wherein, described RCNmax represents that greateset risk radix, described HRmax represent that maximum heart rate, described SDNNmin represent minimum
All phase standard deviations between hole heartbeat.
Preferably, the described body types according to described user, described real-time heart rate, described real-time criteria are poor and described
Risks radix obtains the exercise risk value of described user, including: according to formula: YR=Realtime HR/SDNN/
RCNmax*10 obtains the exercise risk value of this user.
Preferably, if the described body types of described user is heart disease body constitution, described obtain according to described eartbeat interval
After the real-time heart rate of described user, described method also includes: the real-time heart rate described user is in default heart rate danger threshold
Value alarm.
A kind of exercise risk that the present invention provides analyzes method, is applied to exercise risk and analyzes system, and described system includes
Data collection station and server.Described method includes: the eartbeat interval of the user gathered is sent out by described data collection station
Deliver to described server.Described server obtains the real-time heart rate of described user according to eartbeat interval, according to described eartbeat interval
With the measuring and calculating duration being obtained ahead of time obtains phase standard deviation between the described user whole hole heartbeats in described measuring and calculating duration.Described
Server obtains phase standard deviation between the maximum heart rate of described user and minimum whole hole heartbeat.Described server is according to described use
Phase standard deviation, body types, described real-time heart rate and described reality between the described maximum heart rate at family, the whole hole heartbeat of described minimum
Time standard deviation obtain described user exercise risk value, be in default danger threshold alarm in described exercise risk value.
A kind of exercise risk analytical equipment that the present invention provides, described device includes: eartbeat interval acquisition module, is used for obtaining
Take the eartbeat interval at family.Heart rate acquisition module in real time, for obtaining the real-time heart rate of described user according to described eartbeat interval.
All phase standard deviation acquisition modules between hole heartbeat, for obtaining institute according to described eartbeat interval and the measuring and calculating duration being obtained ahead of time
State phase standard deviation between the user's whole hole heartbeats in described measuring and calculating duration.Normal data acquisition module, is used for obtaining described
Phase standard deviation between the maximum heart rate of user and minimum whole hole heartbeat.Exercise risk value acquisition module, for according to described use
The described maximum heart rate at family, described minimum sandards are poor, body types, described real-time heart rate and described real-time criteria difference obtain described
The exercise risk value of user.Alarm module, for being in default danger threshold alarm in described exercise risk value.
Preferably, described exercise risk value acquisition module specifically for: according to described maximum heart rate and the institute of described user
State phase standard deviation between minimum all hole heartbeats and obtain the greateset risk radix of described user.Health class according to described user
Type, described real-time heart rate, the poor and described greateset risk radix of described real-time criteria obtain the exercise risk value of described user.
A kind of exercise risk that the invention described above provides analyzes method and apparatus, and the device for prior art can only be given
The test data that specialty is dull, it is impossible to the actual technical problem of health status when helping user to understand motion, it is provided that motion wind
Method and apparatus is analyzed in danger, is applied to server.Described device is obtained between heart beating during user movement by data collection station
Every, obtain real-time heart rate during user movement according to described eartbeat interval.Server is according to the eartbeat interval of user and required survey
Phase standard deviation between whole hole heartbeats of the motion duration acquisition user calculating motion.Server obtains the maximum heart rate and of user
Phase standard deviation between little whole hole heartbeat, obtains motion based on phase standard deviation between above-mentioned whole hole heartbeats and real-time heart rate
Exercise risk value, reports to the police when the exercise risk value monitoring user is in danger threshold.Having reached can be by obtaining
Real-time heart beat calculate user movement current time exercise risk value, reaching danger threshold alarm with remind user change
The technique effect of exercise intensity.
Accompanying drawing explanation
In order to be illustrated more clearly that the technical scheme of the embodiment of the present invention, below by embodiment required use attached
Figure is briefly described, it will be appreciated that the following drawings illustrate only certain embodiments of the present invention, and it is right to be therefore not construed as
The restriction of scope, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to according to this
A little accompanying drawings obtain other relevant accompanying drawings.
Fig. 1 is that the exercise risk that present pre-ferred embodiments provides analyzes the method and apparatus due server of institute and data
The interaction figure of acquisition terminal；
Fig. 2 is the block diagram of the server that present pre-ferred embodiments provides；
Fig. 3 is the flow chart of steps that the exercise risk that present pre-ferred embodiments provides analyzes method；
Fig. 4 is the module frame chart of the exercise risk analytical equipment that present pre-ferred embodiments provides；
Fig. 5 be present pre-ferred embodiments provide exercise risk analysis put flow chart of steps.
Detailed description of the invention
Those skilled in the art are seeking a kind of instrument improving this problem or method the most always.
In consideration of it, the designer of the present invention is by long-term exploration and trial, and experiment repeatedly and effort, constantly
Reform and innovation, show that the preferable exercise risk shown in this programme analyzes method and apparatus.
For making the purpose of the embodiment of the present invention, technical scheme and advantage clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
The a part of embodiment of the present invention rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under not making creative work premise, broadly falls into the scope of protection of the invention.Therefore,
Detailed description to the embodiments of the invention provided in the accompanying drawings is not intended to limit the model of claimed invention below
Enclose, but be merely representative of the selected embodiment of the present invention.Based on the embodiment in the present invention, those of ordinary skill in the art are not having
Have and make the every other embodiment obtained under creative work premise, broadly fall into the scope of protection of the invention.
As it is shown in figure 1, be that the exercise risk that present pre-ferred embodiments provides analyzes the service that method and apparatus is applied
The schematic diagram that device 101 interacts with data collection station 103.Described server 101 is by network 102 and one or many quantity
It is communicatively coupled according to acquisition terminal 103, to carry out data communication or mutual.Described server 101 can be the webserver,
Database server etc..Described data collection station 103 can be PC (personal computer, PC), flat board electricity
Brain, smart mobile phone, personal digital assistant (personal digital assistant, PDA) etc..
The heartbeat data that described data collection station 103 can preferably be arranged in the Wearable such as motion bra is adopted
Acquisition means, for obtaining the heartbeat data of motion.Described heartbeat data harvester can include heart rate band and communication module, institute
Stating heart rate band for gathering the real-time heart beat data of user, described communication module can be gsm module, for data are passed through nothing
Gauze network is transmitted directly to server.Certainly, the smart machine radio communication that described communication module can also be hand-held with user, example
Such as bluetooth communication etc., the heartbeat data of described heart rate band collection is set by the intelligence of bluetooth communication transmission to user
Standby, the smart machine communicated with Server remote send data to server according to predeterminated frequency.Use Bluetooth communication is assisted
When view energy consumption sends data, energy consumption is relatively low, and the electricity being arranged on the supplying cell on motion bra is smaller, uses
Bluetooth communication is so that the supplying cell of motion bra uses the longer time need not often change battery or charging.
As in figure 2 it is shown, be the block diagram of described server 200.Described server 200 includes that exercise risk analysis fills
Put 201, memorizer 202, storage control 203, processor 204, Peripheral Interface 205, input-output unit 206, display unit
207。
Described memorizer 202, storage control 203, processor 204, Peripheral Interface 205, input-output unit 206, aobvious
Show that unit 207, each element are electrically connected with the most directly or indirectly, to realize the transmission of data or mutual.Such as, these
Element can realize being electrically connected with by one or more communication bus or holding wire each other.Described exercise risk analytical equipment
201 include that at least one can be stored in described memorizer with the form of software or firmware (firmware) or be solidificated in described clothes
Software function module in the operating system (operating system, OS) of business device 200.Described processor 204 is used for performing
The executable module of storage, software function module that the most described exercise risk analytical equipment 201 includes or meter in memorizer 202
Calculation machine program.
Wherein, memorizer 202 may be, but not limited to, random access memory (Random Access Memory,
RAM), read only memory (Read Only Memory, ROM), programmable read only memory (Programmable Read-Only
Memory, PROM), erasable read-only memory (Erasable Programmable Read-Only Memory, EPROM),
Electricallyerasable ROM (EEROM) (Electric Erasable Programmable Read-Only Memory, EEPROM) etc..
Wherein, memorizer 202 is used for storing program, and described processor 204, after receiving execution instruction, performs described program, aforementioned
The method performed by server 201 of the process definition that embodiment of the present invention any embodiment discloses can apply to processor
In 204, or realized by processor 204.
Processor 204 is probably a kind of IC chip, has the disposal ability of signal.Above-mentioned processor can be
General processor, including central processing unit (Central Processing Unit is called for short CPU), network processing unit (Network
Processor, is called for short NP) etc.；Can also is that digital signal processor (DSP), special IC (ASIC), ready-made able to programme
Gate array (FPGA) or other PLDs, discrete gate or transistor logic, discrete hardware components.Permissible
Realize or perform disclosed each method, step and the logic diagram in the embodiment of the present invention.General processor 204 can be micro-
Processor or this processor can also be the processors etc. of any routine.
Various input/output devices are coupled to processor 204 and memorizer 202 by described Peripheral Interface 205.At some
In embodiment, Peripheral Interface, processor and storage control can realize in one single chip.In some other example,
They can be realized by independent chip respectively.
Input-output unit 206 realizes the mutual of user and data collection station for being supplied to user input data.Institute
State input-output unit may be, but not limited to, mouse and keyboard etc..
Display unit 207 provides interactive interface, such as a user interface between described server and user, or
For showing that view data is to user's reference.In the present embodiment, described display unit can be that liquid crystal display or touch-control show
Show device.If touch control display, it can be to support single-point and the capacitance type touch control screen of multi-point touch operation or resistance type touch control screen
Deng.Support that single-point and multi-point touch operation refer to that touch control display can sense one or more positions on this touch control display
The touch control operation that the place of putting produces simultaneously, and the touch control operation this sensed transfers to processor to calculate and processes.
The purpose of inventive embodiments, technical scheme and advantage are clearer, attached below in conjunction with in the embodiment of the present invention
Figure, is clearly and completely described the technical scheme in the embodiment of the present invention, it is clear that described embodiment is the present invention
A part of embodiment rather than whole embodiments.Based on
Refer to Fig. 3, be the exercise risk analysis being applied to the server shown in Fig. 2 of present pre-ferred embodiments offer
The flow chart of method.Idiographic flow shown in Fig. 3 will be described in detail below.
Step S301, obtains the eartbeat interval of user.
Server obtains the eartbeat interval of user by data collection station, can be by being arranged at the heart on motion bra
Rate band obtains.Being provided with heart rate band on motion bra, heart rate band is equivalent to two electrocardiograms led, by being placed on about front two
The electrode of individual position gathers heart physiological signal.It can be 50H that heart rate band gathers the frequency range of electrocardiosignalZ-2000HZ, examine
Worry is at 40H to the normal heart rate range of peopleZ-200HZ, therefore sample frequency is set to 100HZCan ensure that and capture accurately
The crest of QRS wave every time.
The electrocardiosignal that heart rate band gathers is sent to user terminal, the number that user terminal will gather by bluetooth communication
According to transmitting to server.User terminal can be using 5 RR interval data as a packet, by wireless network by number
Send successively to server according to bag.Can certainly be sent out the most in batches by communication module by the heart rate band on motion bra
Deliver to server, or periodically obtained the data of described heart rate band by server.
Server, after obtaining multiple electrocardiosignaies, draws ecg curve according to multiple electrocardiosignaies, according to the described heart
Electricity curve acquisition eartbeat interval, is the phase between RR.
Step S302, obtains the real-time heart rate of described user according to described eartbeat interval.
Server obtains the real-time heart rate of user according to the eartbeat interval of acquired user, specifically can be according to formula:
RealtimeHR=60000/RRi obtains the real-time heart rate of user.Wherein, described Realtime HR represents the real-time heart of user
Rate, RRi is the eartbeat interval of the user obtained.
Step S303, obtains described user when described measuring and calculating according to described eartbeat interval and the measuring and calculating duration being obtained ahead of time
Phase standard deviation between the whole hole heartbeats in length.
Phase standard deviation between described whole hole heartbeat, is i.e. Standard Diviation of NN intervals, letter
Claim SDNN.Server according to according to described eartbeat interval and measuring and calculating duration obtain user whole hole IBI standard deviations,
Specifically can include following process:
3.1 obtain the described user multiple eartbeat intervals in described measuring and calculating duration and eartbeat interval quantity.
Server obtains multiple eartbeat intervals according to the measuring and calculating period at user current kinetic moment place, more accurate in order to obtain
True calculation of measured data, preferably using total duration that moves as total measuring and calculating duration, is carried out from the initial time that must calculate duration
Calculate, terminate to choose first to first measuring and calculating period and test the speed the period, according to certain step after first measuring and calculating period terminates
The measuring and calculating duration that the long and measuring and calculating period divided successively.Preferably measuring and calculating duration is set as 5 minutes, so can obtain the most comprehensive
Mark difference data source accurately.Server by data collection station obtain each measuring and calculating the period in multiple eartbeat intervals RRi with
And quantity N of the multiple eartbeat intervals obtained, to calculate phase standard deviation between the current whole hole heartbeats calculating the period.
3.2 averages obtaining the plurality of eartbeat interval.
Multiple eartbeat intervals of the current measuring and calculating period that server obtains according to above-mentioned steps and the number of multiple eartbeat interval
According to, it is thus achieved that the average u of multiple eartbeat intervals of current measuring and calculating period,
3.3 obtain according to the average of the plurality of eartbeat interval, described eartbeat interval quantity and the plurality of eartbeat interval
Take phase standard deviation between described whole hole heartbeat.
Server is according to formula:Obtain whole in described measuring and calculating duration of this user
Phase standard deviation between hole heartbeat, wherein, RRiRepresenting eartbeat interval, u represents the average of multiple eartbeat intervals in described measuring and calculating duration
Number, N is the quantity of the interior described eartbeat interval quantity obtained of described measuring and calculating duration.
Step S304, obtains phase standard deviation between the maximum heart rate of described user and minimum whole hole heartbeat.
Maximum heart rate, during fingering row sports load, along with momental increase, oxygen consumption and heart rate also increase, in maximum
During load intensity, the top level that when oxygen consumption and heart rate can not continue to increase, heart rate reaches.Phase between minimum all hole heartbeats
Standard deviation refers to that user is poor at the minimum sandards of the eartbeat interval of absolute quiescent condition, is user's eartbeat interval steady statue
Mark poor.Server obtains phase standard deviation between the maximum heart rate of user and minimum whole hole heartbeat, can by user eventually
End or server typing in advance.Between the maximum heart rate of described user and minimum whole hole heartbeat, phase standard deviation can be by spy
Fixed armarium records.
Step S305, according to phase standard deviation, body between the described maximum heart rate of described user, the whole hole heartbeat of described minimum
Body type, described real-time heart rate and described real-time criteria difference obtain the exercise risk value of described user.
Server calculates the exercise risk value of user's current kinetic period according to the data that above-mentioned steps obtains, and specifically includes
Following steps:
5.1 obtain described user according to phase standard deviation between the maximum heart rate of described user and the whole hole heartbeat of described minimum
Greateset risk radix.Server is according to formula: RCNmax=HRmax/SDNNmin obtains the greateset risk radix of this user.
Wherein, described RCNmax represents that greateset risk radix, described HRmax represent that maximum heart rate, described SDNNmin represent minimum whole
Phase standard deviation between hole heartbeat.
5.2, according to the body types of described user, described real-time heart rate, the poor and described greateset risk of described real-time criteria
Radix obtains the exercise risk value of described user.
When the body types of user is health-physical fitness, according to formula: YR=Realtime HR/SDNN/RCNmax*10
Obtain the exercise risk value of this user.Wherein, described exercise risk value is the numerical value before 1-10, the numerical value of exercise risk value
The biggest, then it represents that exercise risk is the biggest, otherwise, then represent exercise risk less.
Step S306, is in default danger threshold alarm in described exercise risk value.
After server obtains the exercise risk value of user, according to the consumer's risk value of default danger threshold monitoring user it is
No in the hole.Such as, danger threshold is set to 7-10, then server is more than in the exercise risk value monitoring user
Or can report to the police during equal to 7.The mode that server is reported to the police can have multiple, and such as server sends alarm command to using
Relative alarm device on the motion bra at family, so that the alarm device on motion bra carries out voice or display alarm.When
So, alarm command can also be sent to user terminal, to remind user or relevant guardian to remind this fortune by described server
Dynamic person adjusts exercise intensity, to ensure that real-time heart rate is in healthy scope.It is of course also possible to arrange sport efficiency monitoring threshold value,
To remind user to improve exercise intensity to reach preferable training effect when monitoring user movement moment heart rate and being too low.Example
As, when the exercise risk value monitoring user is less than 4, the hint instructions that transmitting efficiency is too low, it is strong that prompting user improves training
Degree is to reach preferable training effect.Server can generate two kinds of different alarm commands, refers to exercise risk respectively
Value is less than presetting efficiency value and exercise risk value more than danger threshold, the execution device of two kinds of alarm commands, such as motion bra
Alarm device or the alarm device of user terminal, can report to the police in two different ways, such as different content
Voice message, or green alarm lamp and red alarm lamp etc..
The computation rule set for the user of general body constitution it mostly is in view of the calculating of above-mentioned exercise risk value, and for
The user of heart disease body constitution, needs during motion accurately to control exercise intensity, in order to avoid there is life danger.Therefore server is according to can
To be respectively directed to user's measuring and calculating of different body types, including heart disease body constitution and health-physical fitness.Body types can be by user
Physical condition according to oneself presets, and has the user of heart disease, HDH or other relevant organ state of an illness can be by
Body types is set to heart disease body constitution, and oneself body types can be set to health-physical fitness by other users.Health-physical fitness
Calculating and the warning of the exercise risk value of user can calculate according to above-mentioned conventional computation rule and monitor, heart disease body constitution
Exercise risk monitoring may include that
Obtain user and currently calculate the real-time heart rate of period, reach monitoring user and currently calculating the real-time heart rate of period
When presetting heart rate danger threshold, alarm command can be generated and report to the police.The default heart rate danger threshold of heart disease body constitution user
Can be set as the 65%-100% of maximum heart rate, server is monitoring the real-time heart rate of the user maximum heart rate more than 65%
Motion bra that Shi Shengcheng alarm command is worn to user or other wearable device being connected with server, or user is eventually
End, reports to the police.Remind it is of course also possible to arrange sport efficiency, such as, the heart rate threshold of sport efficiency is set as the maximum heart
The 40%-60% of rate, when the real-time heart rate monitoring user's current time is less than 40 percent, generates prompting message and carries out
Remind.The mode that sport efficiency is reminded and exercise risk is reported to the police can be found in the mode of above-mentioned general body constitution user, the most another at this
One repeats.
The exercise risk that the invention described above embodiment provides analyzes method, and the device for prior art can only provide specialty
Dull test data, it is impossible to the actual technical problem of health status when helping user to understand motion, it is provided that exercise risk divide
Analysis method, is applied to server.Described device obtains eartbeat interval during user movement by data collection station, according to described
Eartbeat interval obtains real-time heart rate during user movement.Server is according to the eartbeat interval of user and the motion of required measuring and calculating campaign
Phase standard deviation between whole hole heartbeats of duration acquisition user.Server obtains maximum heart rate and minimum whole hole heart of user
Phase standard deviation between Bo, obtains the exercise risk value of motion based on phase standard deviation between above-mentioned whole hole heartbeats and real-time heart rate,
Report to the police when the exercise risk value monitoring user is in danger threshold.Having reached can be by the real-time heart beat meter obtained
Calculate the exercise risk value of user movement current time, reach danger threshold alarm to remind user to change the skill of exercise intensity
Art effect.
Refer to Fig. 4, be the functional module of the exercise risk analytical equipment shown in Fig. 2 that present pre-ferred embodiments provides
Schematic diagram.Described exercise risk analytical equipment includes: eartbeat interval acquisition module 401, real-time heart rate acquisition module 402, all
Phase standard deviation acquisition module 403, normal data acquisition module 404, exercise risk value acquisition module 405 and warning between hole heartbeat
Module 406.
Eartbeat interval acquisition module 401, for obtaining the eartbeat interval of user.
Heart rate acquisition module 402 in real time, for obtaining the real-time heart rate of described user according to described eartbeat interval.
All phase standard deviation acquisition modules 403 between hole heartbeat, for according to described eartbeat interval and the survey being obtained ahead of time
Calculate duration and obtain phase standard deviation between the described user whole hole heartbeats in described measuring and calculating duration.
Normal data acquisition module 404, for obtaining the phase between the maximum heart rate of described user and minimum whole hole heartbeat
Standard deviation.
Exercise risk value acquisition module 405, poor for described maximum heart rate, the described minimum sandards according to described user,
Body types, described real-time heart rate and described real-time criteria difference obtain the exercise risk value of described user.
Alarm module 406, for being in default danger threshold alarm in described exercise risk value.
A kind of exercise risk analytical equipment that the invention described above provides, the device for prior art can only provide specialty list
The test data adjusted, it is impossible to the actual technical problem of health status when helping user to understand motion, it is provided that exercise risk analysis
Device, is applied to server.Described device obtains eartbeat interval during user movement by data collection station, according to the described heart
Jump space obtains real-time heart rate during user movement.When server is according to the motion of the eartbeat interval of user and required measuring and calculating campaign
Phase standard deviation between the long whole hole heartbeats obtaining user.Server obtains maximum heart rate and minimum whole hole heartbeat of user
Between phase standard deviation, obtain the exercise risk value of motion based on phase standard deviation between above-mentioned whole hole heartbeats and real-time heart rate,
Monitor when the exercise risk value of user is in danger threshold and report to the police.Reach to be calculated by the real-time heart beat obtained
The exercise risk value of user movement current time, is reaching danger threshold alarm to remind user to change the technology of exercise intensity
Effect.The specific implementation process of the exercise risk analytical equipment that the present embodiment provides can refer to said method embodiment, the most not
Repeat the most one by one.
Referring to Fig. 5, the exercise risk that present pre-ferred embodiments provides analyzes method, is applied to exercise risk analysis system
System, described system includes that data collection station and server, described method include:
Step S501: the eartbeat interval of the user gathered is sent to described server by described data collection station.
Server obtains the eartbeat interval of user by data collection station, can be by being arranged at the heart on motion bra
Rate band obtains.Being provided with heart rate band on motion bra, heart rate band is equivalent to two electrocardiograms led, by being placed on about front two
The electrode of individual position gathers heart physiological signal.It can be 50H that heart rate band gathers the frequency range of electrocardiosignalZ-2000HZ, examine
Worry is at 40H to the normal heart rate range of peopleZ-200HZ, therefore sample frequency is set to 100HZCan ensure that and capture accurately
The crest of QRS wave every time.
The electrocardiosignal that heart rate band gathers is sent to user terminal, the number that user terminal will gather by bluetooth communication
According to transmitting to server.User terminal can be using 5 RR interval data as a packet, by wireless network by number
Send successively to server according to bag.Can certainly be sent out the most in batches by communication module by the heart rate band on motion bra
Deliver to server, or periodically obtained the data of described heart rate band by server.
Server, after obtaining multiple electrocardiosignaies, draws ecg curve according to multiple electrocardiosignaies, according to the described heart
Electricity curve acquisition eartbeat interval, is the phase between RR.
Step S502: described server obtains the real-time heart rate of described user according to eartbeat interval, according between described heart beating
Every and the measuring and calculating duration that is obtained ahead of time obtain phase standard deviation between the described user whole hole heartbeats in described measuring and calculating duration.
Server obtains the real-time heart rate of user according to the eartbeat interval of acquired user, specifically can be according to formula:
RealtimeHR=60000/RRi obtains the real-time heart rate of user.Wherein, described Realtime HR represents the real-time heart of user
Rate, RRi is the eartbeat interval of the user obtained.
Phase standard deviation between described whole hole heartbeat, is i.e. Standard Diviation of NN intervals, letter
Claim SDNN.Server according to according to described eartbeat interval and measuring and calculating duration obtain user whole hole IBI standard deviations,
Specifically can include following process:
3.1 obtain the described user multiple eartbeat intervals in described measuring and calculating duration and eartbeat interval quantity.
Server obtains multiple eartbeat intervals according to the measuring and calculating period at user current kinetic moment place, more accurate in order to obtain
True calculation of measured data, preferably using total duration that moves as total measuring and calculating duration, is carried out from the initial time that must calculate duration
Calculate, terminate to choose first to first measuring and calculating period and test the speed the period, according to certain step after first measuring and calculating period terminates
The measuring and calculating duration that the long and measuring and calculating period divided successively.Preferably measuring and calculating duration is set as 5 minutes, so can obtain the most comprehensive
Mark difference data source accurately.Server by data collection station obtain each measuring and calculating the period in multiple eartbeat intervals RRi with
And quantity N of the multiple eartbeat intervals obtained, to calculate phase standard deviation between the current whole hole heartbeats calculating the period.
3.2 averages obtaining the plurality of eartbeat interval.
Multiple eartbeat intervals of the current measuring and calculating period that server obtains according to above-mentioned steps and the number of multiple eartbeat interval
According to, it is thus achieved that the average u of multiple eartbeat intervals of current measuring and calculating period,
3.3 obtain according to the average of the plurality of eartbeat interval, described eartbeat interval quantity and the plurality of eartbeat interval
Take phase standard deviation between described whole hole heartbeat.
Server is according to formula:Obtain whole in described measuring and calculating duration of this user
Phase standard deviation between hole heartbeat, wherein, RRiRepresenting eartbeat interval, u represents the average of multiple eartbeat intervals in described measuring and calculating duration
Number, N is the quantity of the interior described eartbeat interval quantity obtained of described measuring and calculating duration.
Step S503: described server obtains phase standard between the maximum heart rate of described user and minimum whole hole heartbeat
Difference.
Maximum heart rate, during fingering row sports load, along with momental increase, oxygen consumption and heart rate also increase, in maximum
During load intensity, the top level that when oxygen consumption and heart rate can not continue to increase, heart rate reaches.Phase between minimum all hole heartbeats
Standard deviation refers to that user is poor at the minimum sandards of the eartbeat interval of absolute quiescent condition, is user's eartbeat interval steady statue
Mark poor.Server obtains phase standard deviation between the maximum heart rate of user and minimum whole hole heartbeat, can by user eventually
End or server typing in advance.Between the maximum heart rate of described user and minimum whole hole heartbeat, phase standard deviation can be by spy
Fixed armarium records.
Step S504: described server is according between the described maximum heart rate of described user, the whole hole heartbeat of described minimum
Phase standard deviation, body types, described real-time heart rate and described real-time criteria difference obtain the exercise risk value of described user, described
Exercise risk value is in default danger threshold alarm.
The exercise risk that the invention described above embodiment provides analyzes method, and the device for prior art can only provide specialty
Dull test data, it is impossible to the actual technical problem of health status when helping user to understand motion, it is provided that exercise risk divide
Analysis method, is applied to exercise risk and analyzes system, and described system includes the good server of data collection station.By data acquisition eventually
End obtains eartbeat interval during user movement, obtains real-time heart rate during user movement according to described eartbeat interval.Server root
Phase standard deviation between whole hole heartbeats of user is obtained according to the eartbeat interval of user and the motion duration of required measuring and calculating campaign.Service
Device obtains phase standard deviation between the maximum heart rate of user and minimum whole hole heartbeat, marks based on the phase between above-mentioned whole hole heartbeats
Quasi-difference and real-time heart rate obtain the exercise risk value of motion, carry out when the exercise risk value monitoring user is in danger threshold
Report to the police.Reach to be calculated by the real-time heart beat obtained the exercise risk value of user movement current time, reached dangerous
Threshold value alarm changes the technique effect of exercise intensity with prompting user.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for the skill of this area
For art personnel, the present invention can have various modifications and variations.All within the spirit and principles in the present invention, that is made any repaiies
Change, equivalent, improvement etc., should be included within the scope of the present invention.
Claims (10)
1. an exercise risk analyzes method, it is characterised in that being applied to server, described method includes:
Described server obtains the real-time heart rate of described user according to eartbeat interval；
The described user whole holes in described measuring and calculating duration are obtained according to described eartbeat interval and the measuring and calculating duration being obtained ahead of time
Phase standard deviation between property heartbeat；
Obtain phase standard deviation between the maximum heart rate of described user and minimum whole hole heartbeat；
Phase standard deviation, body types, described reality between the described maximum heart rate according to described user, the whole hole heartbeat of described minimum
Time heart rate and described real-time criteria difference obtain described user exercise risk value；
It is in default danger threshold alarm in described exercise risk value.
Method the most according to claim 1, it is characterised in that described according to described eartbeat interval and measuring and calculating duration obtain institute
State phase standard deviation between the user's whole hole heartbeats in described measuring and calculating duration to include:
Obtain the described user multiple eartbeat intervals in described measuring and calculating duration and eartbeat interval quantity；
Obtain the average of the plurality of eartbeat interval；
Average acquisition according to the plurality of eartbeat interval, described eartbeat interval quantity and the plurality of eartbeat interval is described entirely
Phase standard deviation between portion's hole heartbeat.
Method the most according to claim 2, it is characterised in that described according between the plurality of eartbeat interval, described heart beating
Average every quantity and the plurality of eartbeat interval obtains phase standard deviation between described whole hole heartbeats and includes:
According to formula:Obtain between this user whole hole heartbeats in described measuring and calculating duration
Phase standard deviation, wherein, RRiRepresenting eartbeat interval, u represents the average of multiple eartbeat intervals in described measuring and calculating duration, and N is described
The quantity of the described eartbeat interval obtained in measuring and calculating duration.
Method the most according to claim 1, it is characterised in that the described maximum heart rate according to described user, minimum are all
Phase standard deviation, body types, real-time heart rate, the exercise risk value of the real-time criteria difference described user of acquisition between hole heartbeat, including:
Between maximum heart rate according to described user and the whole hole heartbeat of described minimum, phase standard deviation obtains the maximum of described user
Risk radix；
Body types according to described user, described real-time heart rate, the poor and described greateset risk radix of described real-time criteria obtain
The exercise risk value of described user.
Method the most according to claim 4, it is characterised in that the described maximum heart rate according to described user and minimum are whole
Between hole heartbeat, the greateset risk radix of the described user of phase standard deviation acquisition includes:
According to formula: RCNmax=HRmax/SDNNmin obtains the greateset risk radix of this user, wherein, described RCNmax table
Show that greateset risk radix, described HRmax represent that maximum heart rate, described SDNNmin represent phase standard between minimum all hole heartbeats
Difference.
Method the most according to claim 5, it is characterised in that the described body types according to described user, described in real time
Poor and the described greateset risk radix of heart rate, described real-time criteria obtains the exercise risk value of described user, including:
According to formula: YR=RealtimeHR/SDNN/RCNmax*10 obtains the exercise risk value of this user.
Method the most according to claim 6, it is characterised in that if the described body types of described user is heart sick body
Matter, after the described real-time heart rate obtaining described user according to described eartbeat interval, described method also includes:
Real-time heart rate described user is in default heart rate danger threshold alarm.
8. an exercise risk analyzes method, it is characterised in that being applied to exercise risk and analyze system, described system includes data
Acquisition terminal and server, described method includes:
The eartbeat interval of the user gathered is sent to described server by described data collection station；
Described server obtains the real-time heart rate of described user according to eartbeat interval, according to described eartbeat interval be obtained ahead of time
Measuring and calculating duration obtains phase standard deviation between the described user whole hole heartbeats in described measuring and calculating duration；
Described server obtains phase standard deviation between the maximum heart rate of described user and minimum whole hole heartbeat；
Described server is according to phase standard deviation, health between the described maximum heart rate of described user, the whole hole heartbeat of described minimum
Type, described real-time heart rate and described real-time criteria difference obtain the exercise risk value of described user, at described exercise risk value
In default danger threshold alarm.
9. an exercise risk analytical equipment, it is characterised in that described device includes:
Eartbeat interval acquisition module, for obtaining the eartbeat interval of user；
Heart rate acquisition module in real time, for obtaining the real-time heart rate of described user according to described eartbeat interval；
All phase standard deviation acquisition modules between hole heartbeat, for obtaining according to described eartbeat interval and the measuring and calculating duration being obtained ahead of time
Take phase standard deviation between the described user whole hole heartbeats in described measuring and calculating duration；
Normal data acquisition module, for obtaining phase standard deviation between the maximum heart rate of described user and minimum whole hole heartbeat；
Exercise risk value acquisition module, health class poor for described maximum heart rate, the described minimum sandards according to described user
Type, described real-time heart rate and described real-time criteria difference obtain the exercise risk value of described user；
Alarm module, for being in default danger threshold alarm in described exercise risk value.
Device the most according to claim 9, it is characterised in that described exercise risk value acquisition module specifically for:
Between described maximum heart rate according to described user and the whole hole heartbeat of described minimum, phase standard deviation obtains described user's
Greateset risk radix；
Body types according to described user, described real-time heart rate, the poor and described greateset risk radix of described real-time criteria obtain
The exercise risk value of described user.
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