CN109044276A - A kind of method, apparatus and storage medium detecting the endogenous fatigue degree of muscle - Google Patents
A kind of method, apparatus and storage medium detecting the endogenous fatigue degree of muscle Download PDFInfo
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- CN109044276A CN109044276A CN201810900351.6A CN201810900351A CN109044276A CN 109044276 A CN109044276 A CN 109044276A CN 201810900351 A CN201810900351 A CN 201810900351A CN 109044276 A CN109044276 A CN 109044276A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/389—Electromyography [EMG]
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Abstract
The present invention provides a kind of method, apparatus and storage medium for detecting the endogenous fatigue degree of muscle.This method comprises: obtaining the maximum electric signal transmission speed and current electrical signal transmission speed of target muscles；The endogenous fatigue strength of target muscles is calculated according to maximum electric signal transmission speed, current electrical signal transmission speed and fatigue strength parameter；Corresponding movement adjustable strategies are generated according to endogenous fatigue strength, show endogenous fatigue strength and the movement adjustable strategies.By using this method, the endogenous fatigue strength for quantifying muscle by bioelectric can be realized, the degree of fatigue of target muscles can intuitively be presented to user, provide accurate foundation to be adjusted to current motion state and current kinetic strategy.In addition, can also improve user to the exercise efficiency of target muscles, prevent excessive amount of motion and ensure the sports safety of user.
Description
Technical field
The present invention relates to human-body fatigue degree detection field more particularly to it is a kind of detect the endogenous fatigue degree of muscle method,
Device and storage medium.
Background technique
With Chinese society rapid economic development, people's health consciousness is gradually increased, sport and body-building and health examination
Frequency also gradually increases.However in sport and body-building, due to lacking real-time monitoring at present and quantifying the means of muscular fatigue degree, very
More fitness enthusiasts do not know that the detection numerical value that itself muscular fatigue degree situation or existing detection device are shown is often relatively more special
Industry, common fitness enthusiasts are difficult to interpret detection data, therefore will cause exercise induced muscle damage.
Summary of the invention
In order to solve the above technical problems, the present invention provides it is a kind of detect the endogenous fatigue degree of muscle method, apparatus and
Storage medium is able to solve user in current mechanism and is difficult to the problem of interpreting to the detection data of muscular fatigue.
In a first aspect, the embodiment of the invention provides a kind of method for detecting the endogenous fatigue degree of muscle, the method packet
It includes:
Obtain the maximum electric signal transmission speed and current electrical signal transmission speed of target muscles；
It is calculated according to the maximum electric signal transmission speed, the current electrical signal transmission speed and fatigue strength parameter
The endogenous fatigue strength of target muscles, the value of the fatigue strength parameter follow the amount of exercise of the target muscles to increase and increase
Greatly；
Corresponding movement adjustable strategies are generated according to the endogenous fatigue strength；
Show the endogenous fatigue strength and the movement adjustable strategies.
It is described that speed is transmitted according to the maximum electric signal transmission speed, the current electrical signal in some possible designs
The endogenous fatigue strength of target muscles is calculated in degree and fatigue strength parameter, comprising:
Obtain the target muscles run duration and average exercise intensity, according to the run duration and the average fortune
Fatigue resistance calculates amount of exercise of the target muscles in the run duration；
According to the first mapping relations or default computation model, the value of the corresponding fatigue strength parameter of the amount of exercise is obtained；
The endogenous fatigue strength is calculated using the first preset formula, wherein first preset formula are as follows:
Endogenous fatigue strength=(current electrical signal transmission speed/maximum electric signal transmission speed) * fatigue strength parameter.
It is described to adopt after the value for obtaining the corresponding fatigue strength parameter of the amount of exercise in some possible designs
Before the endogenous fatigue strength is calculated with the first preset formula, further includes:
Obtain target muscles title；
The corresponding correction value of the target muscles title is obtained according to the second mapping relations；
It is modified, is obtained revised using value of the correction value to the corresponding fatigue strength parameter of the amount of exercise
The value of fatigue strength parameter.
In some possible designs, the run duration for obtaining the target muscles and average exercise intensity, comprising:
Multiple Current heart rates in the run duration are obtained with the first predeterminated frequency, and calculate the target muscles in institute
State the average heart rate in run duration；
The target heart rate zone of target user is calculated using the second preset formula, and the target heart rate zone is divided at least one
Pre-set interval, each corresponding exercise intensity value of the pre-set interval；
Determine target pre-set interval locating for the average heart rate, and the corresponding movement of the target pre-set interval is strong
Angle value is as the mean motion intensity.
In some possible designs, the maximum electric signal transmission speed for obtaining target muscles and current electrical signal transmitting
Speed, comprising:
Obtain target user's information and target muscles information；
According to the target muscles information, target user's information and third mapping relations, obtain using with the target
Family information and the corresponding maximum electric signal transmission speed of the target muscles information；The third mapping relations include muscle letter
Mapping relations between breath, user information and maximum electric signal transmission speed；
And with the electric signal transmission speed of the continuous n1 acquisition target muscles of the second predeterminated frequency, calculate all telecommunications
The mean value of number transmission speed, and using the mean value as the current electrical signal transmission speed of target muscles.
In some possible designs, the value range of the fatigue strength parameter is 0.1-0.5.
Second aspect, the embodiment of the present invention also provide a kind of detection muscular fatigue degree device, have and realize corresponding to above-mentioned
The function of the method for the detection endogenous fatigue degree of muscle that first aspect provides.The function can be by hardware realization, can also
To execute corresponding software realization by hardware.Hardware or software include one or more modules corresponding with above-mentioned function,
The module can be software and/or hardware.
In a kind of possible design, the detection muscular fatigue degree device includes:
Module is obtained, for obtaining the maximum electric signal transmission speed and current electrical signal transmission speed of target muscles；
Processing module, for according to the maximum electric signal transmission speed, the current electrical signal transmission speed and fatigue
The endogenous fatigue strength of target muscles is calculated in degree parameter, and generates corresponding movement according to the endogenous fatigue strength and adjust
Whole strategy, the value of the fatigue strength parameter follow the amount of exercise of the target muscles to increase and increase；
Display module, for showing the endogenous fatigue strength that the processing module obtains and movement adjustment plan
Slightly.
In some possible designs, the processing module is specifically used for:
By it is described acquisition module obtain the target muscles run duration and average exercise intensity, according to the movement
Amount of exercise of the target muscles in the run duration described in time and the mean motion Strength co-mputation；
According to the first mapping relations or default computation model, the value of the corresponding fatigue strength parameter of the amount of exercise is obtained；
The endogenous fatigue strength is calculated using the first preset formula, wherein first preset formula are as follows:
Endogenous fatigue strength=(current electrical signal transmission speed/maximum electric signal transmission speed) * fatigue strength parameter.
In some possible designs, the processing module the value for obtaining the corresponding fatigue strength parameter of the amount of exercise it
Afterwards, described to be calculated before the endogenous fatigue strength using the first preset formula, it is also used to:
Target muscles title is obtained by the acquisition module；
The corresponding correction value of the target muscles title is obtained according to the second mapping relations；
It is modified, is obtained revised using value of the correction value to the corresponding fatigue strength parameter of the amount of exercise
The value of fatigue strength parameter.
In some possible designs, multiple Current heart rates in the run duration are obtained with the first predeterminated frequency, and count
Calculate average heart rate of the target muscles in the run duration；
The target heart rate zone of target user is calculated using the second preset formula, and the target heart rate zone is divided at least one
Pre-set interval, each corresponding exercise intensity value of the pre-set interval；
Determine target pre-set interval locating for the average heart rate, and the corresponding movement of the target pre-set interval is strong
Angle value is as the mean motion intensity.
In some possible designs, the acquisition module is specifically used for:
Obtain target user's information and target muscles information；
According to the target muscles information, target user's information and third mapping relations, obtain using with the target
Family information and the corresponding maximum electric signal transmission speed of the target muscles information；The third mapping relations include muscle letter
Mapping relations between breath, user information and maximum electric signal transmission speed；
And the detection muscular fatigue degree device further includes acquisition module, the acquisition module is used for default with second
The electric signal transmission speed of the continuous n1 acquisition target muscles of frequency, calculates the mean value of all electric signal transmission speeds, and by institute
State current electrical signal transmission speed of the mean value as target muscles.
The third aspect, the embodiment of the present invention also provide a kind of detection device, have and realize that corresponding to above-mentioned first aspect mentions
The function of the method for the detection endogenous fatigue degree of muscle of confession.The function can also pass through hardware by hardware realization
Execute corresponding software realization.Hardware or software include one or more modules corresponding with above-mentioned function, and the module can
To be software and/or hardware.The detection device may include in any possible design in second aspect and second aspect
Detection muscular fatigue degree device, which can be integrated in the detection device.
Fourth aspect, the embodiment of the present invention also provide a kind of detection muscular fatigue degree device comprising at least one connection
Processor, memory and transceiver, wherein the memory is for storing program code, and the processor is for calling institute
The program code in memory is stated to execute method described in above-mentioned various aspects.The transceiver can also be receiver and transmitter
It is referred to as, which can also be replaced with input-output unit, and the specific embodiment of the present invention is not construed as limiting.
5th aspect, the embodiment of the invention provides a kind of computer storage mediums comprising instruction, when it is in computer
When upper operation, so that computer executes described in any possible design in above-mentioned first aspect and first aspect
Method.
Compared with current mechanism, in the technical solution of the embodiment of the present invention, using the above-mentioned endogenous fatigue of detection muscle
The method of degree carries out correct amount by endogenous fatigue strength of the bioelectrics such as the electric signal transmission speed of muscle to muscle
Change, facilitates user intuitively to understand the degree of fatigue of target muscles thus according to degree of fatigue to current motion state and current kinetic
Scheme is adjusted, can improve user to the exercise efficiency of target muscles, prevent excessive amount of motion and ensure the sports safety of user.
Simultaneously, additionally it is possible to realize the endogenous fatigue strength for quantifying muscle by bioelectric, target flesh intuitively can be presented to user
The degree of fatigue of meat provides accurate foundation to be adjusted to current motion state and current kinetic strategy.
Detailed description of the invention
Fig. 1 is a kind of schematic diagram of the detection muscular fatigue degree in the embodiment of the present invention；
Fig. 2 is a kind of flow diagram that the method for the endogenous fatigue degree of muscle is detected in the embodiment of the present invention；
Fig. 3 is a kind of structural schematic diagram of the detection muscular fatigue degree device of the embodiment of the present invention；
Fig. 4 is a kind of structural schematic diagram of the detection muscular fatigue degree device in the embodiment of the present invention；
Fig. 5 is a kind of structural schematic diagram of the detection device in the embodiment of the present invention；
Fig. 6 is the structure chart that the entity apparatus of method of the detection endogenous fatigue degree of muscle is executed in the embodiment of the present invention.
Specific embodiment
Technical solution of the present invention is described in detail below by attached drawing and specific embodiment, it should be understood that the application
Specific features in embodiment and embodiment are the detailed description to technical scheme, rather than to present techniques
The restriction of scheme, in the absence of conflict, the technical characteristic in the embodiment of the present application and embodiment can be combined with each other.With
In lower description, for illustration and not for limitation, the specific thin of such as specific system structure, interface, technology etc is proposed
Section understands the present invention to cut thoroughly.However, it will be clear to one skilled in the art that in the other of these no details
Also the present invention may be implemented in embodiment.In other situations, it omits to the detailed of well-known system, circuit and method
Illustrate, in case unnecessary details interferes description of the invention.
The embodiment of the invention provides a kind of method, apparatus and storage medium for detecting the endogenous fatigue degree of muscle, this hairs
The method of the endogenous fatigue degree of detection muscle in bright embodiment can be applied to detection human muscle's endogenous labor degree, can be intuitive
The degree of fatigue of target muscles is presented to user, and improves detection efficiency and accuracy.In the embodiment of the present invention, muscle is endogenous
Fatigue refers to the fatigue of nerves and muscles tissue itself, passes through the electric signal transmission speed of detection movement muscle and periodicity etc.
Bioelectric measures the fatigue strength of muscle.Muscle fibre (cell) has very high excitability, they go out at first in excitation time
Existing reaction is exactly action potential, that is, the cell membrane two sides at excitement occur and transmitable current potential occur to generate faint electricity
Stream, therefore the electric current of body surface muscle can be measured in the appropriate location adhesive electrodes of skin, which becomes at any time
The curve of change is electromyogram.It specifically, can be living by the electricity that skin surface electrodes patch is recorded Products for Cooked Whole Muscle on the skin
Dynamic signal, or motor unit potential will be detected in coaxial holocentric or diplocardia pin electrode insertion belly of muscle, then pass through filter appropriate
Wave and amplification, so that it may form electromyography signal and be shown on recorder or oscillograph.
In order to solve the above technical problems, in the embodiment of the present invention the following technical schemes are provided:
The technical program can be used in the fatigue strength detection of muscle, as shown in Figure 1, arm muscles of the detection device to user
External force is carried out, skin surface electrodes are attached on arm muscles, arm muscles at this is detected and is applying external force process
In meat fiber variation, record the electrical activity signal of Products for Cooked Whole Muscle, and be converted to electromyography signal and reach on detection device.Detection
After equipment receives electromyography signal, quantify the endogenous fatigue of muscle by bioelectrics such as the electric signal transmission speeds of muscle
Degree, then corresponding movement adjustable strategies are generated based on obtained endogenous fatigue strength.
Embodiment
With reference to Fig. 2, the method that a kind of endogenous fatigue degree of detection muscle of the embodiment of the present invention is described below, this method can
It is executed by the detection device of detection muscular fatigue degree device or built-in detection muscular fatigue degree device.The described method includes:
S201, the maximum electric signal transmission speed and current electrical signal transmission speed for obtaining target muscles.
S202, according to the maximum electric signal transmission speed, the current electrical signal transmission speed and fatigue strength parameter meter
Calculation obtains the endogenous fatigue strength of target muscles.
Wherein, the value of the fatigue strength parameter follows the amount of exercise of the target muscles to increase and increase, i.e., described tired
The value of labor degree parameter and the amount of exercise of target muscles are positively correlated, such as the amount of exercise of the target muscles is bigger, described tired
The value of labor degree parameter is bigger.
In some embodiments, the value range of the fatigue strength parameter can be set as 0.1-0.5.Fatigue described above
The value range of degree parameter is after importing collected a large amount of electromyography signal analysis data and human body subjective sensation degree of fatigue
In first preset formula of text, the range of parameter values being calculated is simulated, therefore can accurately measure target to a certain extent
The endogenous fatigue strength of user.
S203, corresponding movement adjustable strategies are generated according to the endogenous fatigue strength.
S204, the endogenous fatigue strength and the movement adjustable strategies are shown.
Compared with current mechanism, in the embodiment of the present invention, using the method for the endogenous fatigue degree of above-mentioned detection muscle, pass through
The bioelectrics such as the electric signal transmission speed of muscle carry out accurate quantification to the endogenous fatigue strength of muscle, facilitate user intuitive
The degree of fatigue of understanding target muscles is to be adjusted current motion state and current kinetic scheme according to degree of fatigue, energy
Improve user to the exercises efficiency of target muscles, prevent the sports safety of excessive amount of motion and guarantee user.Simultaneously, additionally it is possible to realize
Quantify the endogenous fatigue strength of muscle by bioelectric, the degree of fatigue of target muscles can intuitively be presented to user, be
Current motion state and current kinetic strategy are adjusted, accurate foundation is provided.
Optionally, in some embodiments of the invention, the maximum electric signal biography for obtaining target muscles is introduced separately below
Pass the process of speed and current electrical signal transmission speed:
One, the maximum electric signal transmission speed of target muscles is obtained
In some embodiments, maximum electric signal transmission speed is obtained based on preset third mapping relations, is obtained above-mentioned
The scheme of maximum electric signal transmission speed can comprise the following steps that
Obtain target user's information and target muscles information；
According to the target muscles information, target user's information and third mapping relations, obtain using with the target
Family information and the corresponding maximum electric signal transmission speed of the target muscles information；The third mapping relations include muscle letter
Mapping relations between breath, user information and maximum electric signal transmission speed.Wherein, user's letter in the third mapping relations
Breath includes age of user, user's gender and user health index.The third mapping relations can be with the presentation of data sheet form,
It is also possible to other modes presentation, the specific embodiment of the present invention is not construed as limiting.
It should be noted that third mapping relations needs create before detecting muscular fatigue degree, can acquire a large amount of
Detection data creation.The third mapping relations can be used for presenting different muscle information, different user information and maximum electric signal and pass
Pass the mapping relations of speed.When actually detected muscular fatigue is spent, directly can go to inquire according to muscle information and user information
To corresponding maximum electric signal transmission speed.It can accelerate detection efficiency in this way, reduce operation time and reduce detection muscle
The power consumption of fatigue strength device or detection device, without wearing myoelectric apparatus.In addition, the user is different even if being based on same user
The maximum electric signal transmission speed of muscle is different and different sexes, all ages and classes and different health states user's phases
Also not identical with the maximum electric signal transmission speed of muscle, the third mapping relations in the embodiment of the present invention consider from multiple dimensions
User information, the third mapping relations created can comprehensively embody the peak signal transmitting speed of the different muscle of same user
Degree, the maximum electric signal transmission speed data inquired based on the third mapping relations are also more targeted, to improve
The accuracy of fatigue strength detection method of the present invention.
In some embodiments, it is also based on electromyogram and obtains maximum electric signal transmission speed.Specifically, it can adopt
Real-time monitoring is carried out with electromyography signal of the myoelectric apparatus to target muscles, the electromyogram of target muscles is generated, passes through electromyogram
Measure current electrical signal transmission speed.Such as in one embodiment, the time for electromyography signal occur according to two metal electrodes is first
After subtract each other and can be obtained passing time, and the distance of two metal electrodes be it is fixed, when using the distance/transmitting
Between, current electrical signal transmission speed can be obtained.When user wears always the myoelectric apparatus, so that it may obtain target muscles default
Time range, such as one day or continuous several days maximum electric signal transmission speed.
Two, the current electrical signal transmission speed of target muscles is obtained
In some embodiments, the scheme for obtaining above-mentioned current electrical signal transmission speed be can comprise the following steps that
With the electric signal transmission speed of the continuous n1 acquisition target muscles of the second predeterminated frequency, all electric signal transmitting are calculated
The mean value of speed, and using the mean value as the current electrical signal transmission speed of target muscles.
As it can be seen that the method for taking the mean value of electric signal transmission speed by multi collect, obtained current electrical signal transmitting speed
Degree is better able to the current muscular states of reflection target user, can further increase the endogenous fatigue degree detection of muscle of the present invention
The accuracy of method.
Optionally, in some embodiments of the invention, it is described according to the maximum electric signal transmission speed, it is described current
The endogenous fatigue strength of target muscles is calculated in electric signal transmission speed and fatigue strength parameter, comprising:
(1) obtain the target muscles run duration and average exercise intensity, according to the run duration and described flat
Equal exercise intensity calculates amount of exercise of the target muscles in the run duration.In some embodiments, amount of exercise=fortune
Dynamic time * mean motion intensity, can also be added other parameters or other calculations, specifically inventive embodiments do not limit
It is fixed.
(2) according to the first mapping relations or default computation model, taking for the corresponding fatigue strength parameter of the amount of exercise is obtained
Value.
In some embodiments, the first mapping relations can be presented in the form of tables of data, can also otherwise be presented, tool
Body the application is not construed as limiting.Such as a kind of presentation mode of the first mapping relations shown in the following table 1:
Table 1
In some embodiments, it can generate the corresponding fatigue strength parameter d's of the amount of exercise using default computation model
Value.A large amount of user data is acquired first, and fatigue strength parameter d and the amount of exercise are then simulated by the user data
Relationship, to form default computation model.
According to table 1, with the intensification of fatigue, the transmission speed of Muscle electrical activity can reduce, and fatigue is deeper, transmitting speed
Degree reduces more, while amount of exercise is bigger, and the value of damage parameters is bigger.
Optionally, in some embodiments, the value of the fatigue strength parameter is also related with the type of target muscles, i.e.,
In the identical situation of amount of exercise, muscle types are different, and the value of fatigue strength parameter is different, for example fast muscle is more easier fatigue, tired
The value of labor degree parameter can be bigger.It can also need again to carry out the fatigue strength parameter that step (2) obtain according to target muscles
Amendment.Specifically, after the value for obtaining the corresponding fatigue strength parameter of the amount of exercise, the first preset formula meter is being used
Calculation obtains before the endogenous fatigue strength, further includes:
A, target muscles title is obtained.For example, the operational order of available user's input obtains the target flesh
Meat title, or the target muscles present position is taken pictures and identified to obtain the target muscles title.
B, the corresponding correction value of the target muscles title is obtained according to the second mapping relations.
C, it is modified using value of the correction value to the corresponding fatigue strength parameter of the amount of exercise, after obtaining amendment
Fatigue strength parameter value.
Second mapping relations are to create to obtain according to mass data, can be the form of tables of data, are also possible to it
His form is presented, and the specific embodiment of the present invention is not construed as limiting.By taking tables of data as shown in table 1 below as an example, the second mapping relations
Including the corresponding fatigue strength parameter correction values Δ d of different muscle titles.After obtaining target muscles title, second mapping can be inquired
Relationship obtains the corresponding correction value Δ d of the target muscles title, is obtained using the correction value Δ d to the step S202
D value be modified, i.e., final fatigue strength parameter=d+ Δ d, then (target flesh can be calculated in d+ Δ d) using the value
The endogenous fatigue strength of meat.
| Muscle title 1 | Muscle title 2 | Muscle title 3 | Muscle title 4 | Muscle title 5 | Muscle title 5 | |
| Correction value | Δd1 | Δd2 | Δd3 | Δd4 | Δd5 | Δd6 |
Table 2
(3) the endogenous fatigue strength is calculated using the first preset formula, wherein first preset formula are as follows:
Endogenous fatigue strength=(current electrical signal transmission speed/maximum electric signal transmission speed) * fatigue strength parameter.
Correspondingly, after calculating the endogenous fatigue strength, according to fatigue strength locating for the endogenous fatigue strength etc.
Grade generates and shows corresponding movement Adjusted Option.For example, multiple fatigue strength grades can be first preset, each fatigue strength grade pair
Different movement adjustable strategies are answered, for example preset four fatigue strength grades, each corresponding movement adjustable strategies are as follows:
First order fatigue strength indicates that fatigue strength is lower, can be improved exercise intensity at this time, increases run duration and/or more
Change type of sports；
Second level fatigue strength indicates that fatigue strength is medium, can keep current exercise intensity and type of sports at this time；
Third level fatigue strength indicates that fatigue strength is higher, can reduce exercise intensity at this time, reduce run duration and/or more
Change type of sports；
Fourth stage fatigue strength, expression have reached or are more than preset fatigue strength threshold value, can sound an alarm mention at this time
Awake user's pause motion.
Optionally, in some embodiments of the invention, the run duration and average fortune for obtaining the target muscles
Fatigue resistance, comprising:
A, multiple Current heart rates in the run duration are obtained with the first predeterminated frequency, and calculates the target muscles and exists
Average heart rate in the run duration.
In some embodiments, Current heart rate can be calculated using the following equation:
Current heart rate=60/ (this flesh oxygen crest value corresponds to last time at moment-flesh oxygen crest value and corresponds to the moment), can be obtained
Heart rate per minute.Certainly in other embodiments, other various moving instruments, such as motion bracelet acquisition can be used to work as front center
Rate.
B, the target heart rate zone of target user is calculated using the second preset formula, and the target heart rate zone is divided at least one
A pre-set interval, each corresponding exercise intensity value of the pre-set interval.
In some embodiments, second preset formula can are as follows:
Target heart rate zone=55%* maximum heart rate~90%* maximum heart rate,
Or target heart rate zone=(40%~85%) * maximum lays in heart rate+quiet heart rate；
The maximum heart rate=220- age of user；
The maximum deposit heart rate=220- age of user-quiet heart rate.
C, target pre-set interval locating for the average heart rate is determined, and by the corresponding movement of the target pre-set interval
Intensity value is as the mean motion intensity.
As it can be seen that the pre-set interval for dividing the target heart rate zone is more in the embodiment of the present invention, the mean motion measured is strong
Angle value is more accurate, and then the endogenous fatigue degree testing result of the higher muscle of available accuracy.
Using the fatigue strength detection method based on electric signal transmission speed of above-described embodiment, the telecommunications of muscle can be passed through
The bioelectrics such as number transmission speed carry out accurate quantification to the endogenous fatigue strength of muscle, and user is facilitated intuitively to understand target flesh
The degree of fatigue of meat not only increases use to be adjusted according to degree of fatigue to current motion state and current kinetic scheme
Family can prevent excessive amount of motion to the exercise efficiency of target muscles, ensure the sports safety of user.
Fig. 1, Fig. 2, Tables 1 and 2 are combined above, describe the endogenous fatigue degree of detection muscle of the embodiment of the present invention in detail
Method, any technical characteristic appeared in each embodiment of the method for the above-mentioned endogenous fatigue degree of detection muscle is applicable in
In subsequent embodiment, similar place is not repeated.Below with reference to Fig. 3-Fig. 6, the detection muscular fatigue of the embodiment of the present invention is introduced
Spend device and detection device.
A kind of a kind of structural schematic diagram of detection muscular fatigue degree device 30 as shown in Figure 3.In the embodiment of the present application
Detection muscular fatigue degree device 30 can be realized corresponding in embodiment corresponding to above-mentioned Fig. 2 by detection muscular fatigue degree device
Or the step of method of the endogenous fatigue degree of muscle is detected performed by detection device.The detection muscular fatigue degree device 30 is realized
Function corresponding software realization can also be executed by hardware by hardware realization.Hardware or software include one or
Multiple modules corresponding with above-mentioned function, the module can be software and/or hardware.The detection muscular fatigue degree device
30 may include obtaining module 301, processing module 302 and display module 303, and the function realization of the processing module 302 can refer to
In embodiment corresponding to Fig. 1 by detection muscular fatigue degree device or detection device calculate target muscles endogenous fatigue strength,
It generates corresponding movement adjustable strategies, is the value that calculates the corresponding fatigue strength parameter of amount of exercise, corresponding to the amount of exercise tired
The value of labor degree parameter is modified, calculates target user target heart rate zone, calculate target muscles during exercise in be averaged
The behaviour such as heart rate, the mean value for determining target pre-set interval locating for the average heart rate and all electric signal transmission speeds of calculating
Make, does not repeat herein.The function realization for obtaining module 301 can refer in embodiment corresponding to Fig. 2 by detection muscle
Fatigue strength device or detection device obtain the maximum electric signal transmission speed and current electrical signal transmission speed, acquisition of target muscles
Multiple Current heart rates, the acquisition operation such as target user's information and target muscles information in the run duration, processing module 302
It can be used for controlling the operations such as acquisition, transmitting-receiving, the input and output for obtaining module, and the display behaviour of control display module 303
Make.
In some embodiments, the module 301 that obtains can be used for obtaining the maximum electric signal transmission speed of target muscles
With current electrical signal transmission speed.
The processing module 302 can be used for according to the maximum electric signal transmission speed, current electrical signal transmitting speed
The endogenous fatigue strength of target muscles is calculated in degree and fatigue strength parameter, and is generated and corresponded to according to the endogenous fatigue strength
Movement adjustable strategies, the value of the fatigue strength parameter follow the target muscles amount of exercise increase and increase.
The display module 303 can be used for showing the endogenous fatigue strength that the processing module 302 obtains and described
Move adjustable strategies.
In the embodiment of the present invention, the processing module 302 can be living by bioelectricity such as the electric signal transmission speeds of muscle
The dynamic endogenous fatigue strength to muscle carries out accurate quantification, and user is facilitated to understand the degree of fatigue of target muscles intuitively to basis
Degree of fatigue is adjusted current motion state and current kinetic scheme, not only increases user and imitates to the exercise of target muscles
Rate, and excessive amount of motion can be prevented, ensure the sports safety of user.
In some embodiments, the processing module 302 is specifically used for:
By it is described acquisition module 301 obtain the target muscles run duration and average exercise intensity, according to described
Amount of exercise of the target muscles in the run duration described in run duration and the mean motion Strength co-mputation；
According to the first mapping relations or default computation model, the value of the corresponding fatigue strength parameter of the amount of exercise is obtained；
The endogenous fatigue strength is calculated using the first preset formula, wherein first preset formula are as follows:
Endogenous fatigue strength=(current electrical signal transmission speed/maximum electric signal transmission speed) * fatigue strength parameter.
In some embodiments, the processing module 302 is obtaining the value of the corresponding fatigue strength parameter of the amount of exercise
Later, it before the endogenous fatigue strength being calculated using the first preset formula, is also used to:
Target muscles title is obtained by the acquisition module 301；
The corresponding correction value of the target muscles title is obtained according to the second mapping relations；
It is modified, is obtained revised using value of the correction value to the corresponding fatigue strength parameter of the amount of exercise
The value of fatigue strength parameter.
In some embodiments, multiple Current heart rates in the run duration are obtained with the first predeterminated frequency, and calculate
Average heart rate of the target muscles in the run duration；
The target heart rate zone of target user is calculated using the second preset formula, and the target heart rate zone is divided at least one
Pre-set interval, each corresponding exercise intensity value of the pre-set interval；
Determine target pre-set interval locating for the average heart rate, and the corresponding movement of the target pre-set interval is strong
Angle value is as the mean motion intensity.
In some embodiments, the acquisition module 301 is specifically used for:
Obtain target user's information and target muscles information；
According to the target muscles information, target user's information and third mapping relations, obtain using with the target
Family information and the corresponding maximum electric signal transmission speed of the target muscles information；The third mapping relations include muscle letter
Mapping relations between breath, user information and maximum electric signal transmission speed；
And as shown in figure 4, the detection muscular fatigue degree device 30 further includes acquisition module 304, the acquisition module
304 for calculating all electric signal transmitting with the electric signal transmission speed of the continuous n1 acquisition target muscles of the second predeterminated frequency
The mean value of speed, and using the mean value as the current electrical signal transmission speed of target muscles.
If Fig. 5 is a kind of structural schematic diagram of detection device provided in an embodiment of the present invention, can realize in Fig. 3 or Fig. 4
Shown in detection muscular fatigue degree device institute it is functional, the detection device 50 of the embodiment includes institute in figure 3 above or Fig. 5
The detection muscular fatigue degree device stated, the detection device 50 can be wearable device or other detecting instruments etc..
The dress of the detection muscular fatigue degree in the embodiment of the present application is described respectively from the angle of modular functionality entity above
It sets or detection device, introduces a kind of detection muscular fatigue degree device or detection device from hardware point of view below, as shown in fig. 6, its
Include: processor, memory, transceiver (being also possible to input-output unit, do not identify in Fig. 6) and is stored in described deposit
In reservoir and the computer program that can run on the processor.For example, the computer program can be reality corresponding to Fig. 1
Apply the corresponding program of method that the endogenous fatigue degree of muscle is detected in example.For example, when detection muscular fatigue degree device realizes such as Fig. 3
Shown in detection muscular fatigue degree device 30 function when, the processor realizes above-mentioned Fig. 3 when executing the computer program
The side of the detection endogenous fatigue degree of muscle executed in corresponding embodiment by detection muscular fatigue degree device or detection device
Each step in method；Alternatively, the processor realizes implementation corresponding to above-mentioned Fig. 3 or Fig. 4 when executing the computer program
The function of each module in the detection muscular fatigue degree device or detection device of example.In another example the computer program can be Fig. 2 institute
The corresponding program of method of the endogenous fatigue degree of muscle is detected in corresponding embodiment.When detection muscular fatigue degree device or detection
When equipment realizes the function of detection muscular fatigue degree device 30 as shown in Figure 3 or Figure 4, the processor executes the computer
The detection intramuscular executed in embodiment corresponding in above-mentioned Fig. 1 or Fig. 2 by detection muscular fatigue degree device is realized when program
Each step in the method for source fatigue degree；Alternatively, the processor realizes that above-mentioned Fig. 5 institute is right when executing the computer program
The function of each module in the detection device for the embodiment answered.
Illustratively, the computer program can be divided into one or more module/units, one or more
A module/unit is stored in the memory, and is executed by the processor, to complete the present invention.It is one or more
A module/unit can be the series of computation machine program instruction section that can complete specific function, and the instruction segment is for describing institute
State implementation procedure of the computer program in the computer installation.
The detection muscular fatigue degree device or detection device may include, but be not limited only to, processor, memory.Ability
Field technique personnel are appreciated that the signal is only the example of computer installation, do not constitute to detection muscular fatigue degree dress
It sets or the restriction of detection device, may include perhaps combining certain components or different than illustrating more or fewer components
Component, such as the server can also include input-output equipment, network access equipment, bus etc..
Alleged processor can be central processing unit (Central Processing Unit, CPU), can also be it
His general processor, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng the processor is the control centre of the computer installation, utilizes various interfaces and the entire computer installation of connection
Various pieces.The processor can be the corresponding entity device of processing module in the embodiment of the present invention.
The memory can be used for storing the computer program and/or module, and the processor is by operation or executes
Computer program in the memory and/or module are stored, and calls the data being stored in memory, described in realization
The various functions of computer installation.The memory can mainly include storing program area and storage data area, wherein storage program
It area can application program (such as sound-playing function, image player function etc.) needed for storage program area, at least one function
Deng；Storage data area, which can be stored, uses created data (such as audio data, video data etc.) etc. according to mobile phone.This
Outside, memory may include high-speed random access memory, can also include nonvolatile memory, such as hard disk, memory, insert
Connect formula hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash memory
Block (Flash Card), at least one disk memory, flush memory device or other volatile solid-state parts.
The transceiver can also be replaced with receiver and transmitter, can be same or different physical entity.For
When identical physical entity, transceiver may be collectively referred to as.The memory can integrate in the processor, can also be with institute
Processor is stated to be provided separately.The transceiver can be input-output unit, which can be to obtain mould in the embodiment of the present invention
The corresponding entity device of block.
The embodiment of the present invention also provides a kind of computer readable storage medium, is stored thereon with computer program, as Fig. 3 or
Detection device in embodiment corresponding to detection muscular fatigue degree device or Fig. 5 in embodiment corresponding to Fig. 4 is with software
The form of functional unit is realized and when sold or used as an independent product, can store in a computer-readable storage
In medium.Based on this understanding, the present invention realize in embodiment corresponding to above-mentioned Fig. 1 by detection muscular fatigue degree device or
All or part of the process in the method for the detection endogenous fatigue degree of muscle that detection device executes, can also pass through computer journey
Sequence is completed to instruct relevant hardware, and the computer program can be stored in a computer readable storage medium, the meter
Calculation machine program is when being executed by processor, it can be achieved that the step of above-mentioned each embodiment of the method.Wherein, the computer program packet
Include computer program code, the computer program code can for source code form, object identification code form, executable file or
Certain intermediate forms etc..The computer-readable medium may include: any reality that can carry the computer program code
Body or device, recording medium, USB flash disk, mobile hard disk, magnetic disk, CD, computer storage, read-only memory (ROM, Read-
Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and
Software distribution medium etc..It should be noted that the content that the computer-readable medium includes can be according in jurisdiction
Legislation and the requirement of patent practice carry out increase and decrease appropriate, such as in certain jurisdictions, according to legislation and patent practice, meter
Calculation machine readable medium does not include electric carrier signal and telecommunication signal.
Although each embodiment of the invention has been described, created once a person skilled in the art knows basic
Property concept, then additional changes and modifications may be made to these embodiments.So it includes each that the following claims are intended to be interpreted as
A embodiment and all change and modification for falling into the scope of the invention.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (10)
1. a kind of method for detecting the endogenous fatigue degree of muscle, which is characterized in that the described method includes:
Obtain the maximum electric signal transmission speed and current electrical signal transmission speed of target muscles；
Target is calculated according to the maximum electric signal transmission speed, the current electrical signal transmission speed and fatigue strength parameter
The endogenous fatigue strength of muscle, the value of the fatigue strength parameter follow the amount of exercise of the target muscles to increase and increase；
Corresponding movement adjustable strategies are generated according to the endogenous fatigue strength；
Show the endogenous fatigue strength and the movement adjustable strategies.
2. the method according to claim 1, wherein it is described according to the maximum electric signal transmission speed, it is described
The endogenous fatigue strength of target muscles is calculated in current electrical signal transmission speed and fatigue strength parameter, comprising:
Obtain the target muscles run duration and average exercise intensity, it is strong according to the run duration and the mean motion
Degree calculates amount of exercise of the target muscles in the run duration；
According to the first mapping relations or default computation model, the value of the corresponding fatigue strength parameter of the amount of exercise is obtained；
The endogenous fatigue strength is calculated using the first preset formula, wherein first preset formula are as follows:
Endogenous fatigue strength=(current electrical signal transmission speed/maximum electric signal transmission speed) * fatigue strength parameter.
3. according to the method described in claim 2, it is characterized in that, the amount of exercise corresponding fatigue strength parameter of obtaining
It is described to be calculated before the endogenous fatigue strength using the first preset formula after value, further includes:
Obtain target muscles title；
The corresponding correction value of the target muscles title is obtained according to the second mapping relations；
It is modified using value of the correction value to the corresponding fatigue strength parameter of the amount of exercise, obtains revised fatigue
Spend the value of parameter.
4. according to the method described in claim 2, it is characterized in that, the run duration for obtaining the target muscles and average
Exercise intensity, comprising:
Multiple Current heart rates in the run duration are obtained with the first predeterminated frequency, and calculate the target muscles in the fortune
Average heart rate in the dynamic time；
The target heart rate zone of target user is calculated using the second preset formula, and the target heart rate zone is divided at least one and is preset
Section, each corresponding exercise intensity value of the pre-set interval；
Determine target pre-set interval locating for the average heart rate, and by the corresponding exercise intensity value of the target pre-set interval
As the mean motion intensity.
5. method according to any one of claims 1-4, which is characterized in that the maximum electric signal for obtaining target muscles
Transmission speed and current electrical signal transmission speed, comprising:
Obtain target user's information and target muscles information；
According to the target muscles information, target user's information and third mapping relations, obtain believing with the target user
Cease maximum electric signal transmission speed corresponding with the target muscles information；The third mapping relations include muscle information, use
Mapping relations between family information and maximum electric signal transmission speed；
And it with the electric signal transmission speed of the continuous n1 acquisition target muscles of the second predeterminated frequency, calculates all electric signals and passes
The mean value of speed is passed, and using the mean value as the current electrical signal transmission speed of target muscles.
6. a kind of detection muscular fatigue degree device, which is characterized in that described device includes:
Module is obtained, for obtaining the maximum electric signal transmission speed and current electrical signal transmission speed of target muscles；
Processing module, for being joined according to the maximum electric signal transmission speed, the current electrical signal transmission speed and fatigue strength
The endogenous fatigue strength of target muscles is calculated in number, and generates corresponding movement according to the endogenous fatigue strength and adjust plan
Slightly, the value of the fatigue strength parameter follows the amount of exercise of the target muscles to increase and increase；
Display module, for showing the endogenous fatigue strength and the movement adjustable strategies that the processing module obtains.
7. detection muscular fatigue degree device according to claim 6, which is characterized in that the processing module is specifically used for:
By it is described acquisition module obtain the target muscles run duration and average exercise intensity, according to the run duration
With amount of exercise of the target muscles in the run duration described in the mean motion Strength co-mputation；
According to the first mapping relations or default computation model, the value of the corresponding fatigue strength parameter of the amount of exercise is obtained；
The endogenous fatigue strength is calculated using the first preset formula, wherein first preset formula are as follows:
Endogenous fatigue strength=(current electrical signal transmission speed/maximum electric signal transmission speed) * fatigue strength parameter.
8. detection muscular fatigue degree device according to claim 7, which is characterized in that the processing module obtain it is described
After the value of the corresponding fatigue strength parameter of amount of exercise, using the first preset formula be calculated the endogenous fatigue strength it
Before, it is also used to:
Target muscles title is obtained by the acquisition module；
The corresponding correction value of the target muscles title is obtained according to the second mapping relations；
It is modified using value of the correction value to the corresponding fatigue strength parameter of the amount of exercise, obtains revised fatigue
Spend the value of parameter.
9. a kind of detection device, which is characterized in that the detection device includes that detection muscle as claimed in claim 7 or 8 is tired
Labor degree device.
10. a kind of computer storage medium, which is characterized in that it includes instructions, when run on a computer, so that described
Computer executes method according to any one of claims 1 to 5.
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Application publication date: 20181221 |