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Method and device for detecting comprehensive fatigue of muscle and storage medium

A fatigue and comprehensive technology, applied in the field of comprehensive muscle fatigue detection, can solve the problem of low accuracy of muscle fatigue detection, and achieve the effect of improving exercise efficiency, numerical accuracy, and ensuring exercise safety.

Active Publication Date: 2019-06-07
JIANGHAN UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The invention provides a method, device and storage medium for detecting comprehensive muscle fatigue, which can solve the problem of low accuracy in detecting muscle fatigue in existing mechanisms

Method used

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  • Method and device for detecting comprehensive fatigue of muscle and storage medium
  • Method and device for detecting comprehensive fatigue of muscle and storage medium
  • Method and device for detecting comprehensive fatigue of muscle and storage medium

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Embodiment

[0061] reference figure 2 , The following describes a method for detecting comprehensive muscle fatigue in an embodiment of the present invention, and the method includes:

[0062] S201. Obtain exogenous fatigue, endogenous fatigue and exercise intensity of the target muscle.

[0063] S202. Determine the first weighting coefficient of the exogenous fatigue degree and the second weighting coefficient of the endogenous fatigue degree according to the exercise intensity.

[0064] Wherein, the sum of the first weighting coefficient and the second weighting coefficient is 1.

[0065] S203. Calculate the comprehensive fatigue degree of the target muscle according to the exogenous fatigue degree, the endogenous fatigue degree, the first weighting coefficient, and the second weighting coefficient.

[0066] Optionally, in some embodiments of the present invention, the target is calculated according to the exogenous fatigue degree, the endogenous fatigue degree, the first weighting coefficient, ...

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Abstract

The invention provides a method and device for detecting comprehensive fatigue of muscle and a storage medium. The method comprises the following steps of obtaining exogenous fatigue, endogenous fatigue and exercise intensity of target muscle; according to the first weight coefficient of the exogenous fatigue and the second weight coefficient of the endogenous fatigue, according to the exogenous fatigue, the endogenous fatigue, the first weight coefficient and the second weight coefficient, calculating the comprehensive fatigue of the target muscle; according to the comprehensive fatigue, determining a movement adjustment strategy; and showing the exogenous fatigue, the endogenous fatigue, the comprehensive fatigue and the movement adjustment strategy. During quantification of the fatigueof the target muscle, the endogenous fatigue and the exogenous fatigue are comprehensively considered, so that the obtained fatigue numerical value is accurate, and cooperates with the feeling of users better, and the fatigue degree of the target muscle is presented for the users visually. An accurate basis is provided for adjustment of current movement state and the current movement adjustment scheme according to the fatigue degree

Description

Technical field [0001] The invention relates to the field of human fatigue detection, in particular to a method, device and storage medium for detecting comprehensive muscle fatigue. Background technique [0002] With the rapid development of my country's social economy, people's health awareness has gradually increased, and the frequency of exercise and health checks has gradually increased. However, during exercise and fitness, due to the lack of real-time monitoring and quantification of muscle fatigue, many fitness enthusiasts do not know their own muscle fatigue status or the detection values ​​displayed by existing testing equipment are often more professional. It is difficult for ordinary fitness enthusiasts to detect Interpretation of the data will cause sports muscle damage. At the same time, there are many factors that affect the user's muscle fatigue feeling. The prior art usually only measures the fatigue degree of the target muscle from one aspect, so the detection ...

Claims

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Application Information

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IPC IPC(8): A61B5/0488G16H20/30G16H50/30
Inventor 吴钰祥
Owner JIANGHAN UNIVERSITY
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