Detecting method for muscle fatigue level and equipment

A detection method and fatigue technology, applied in the field of information processing, can solve the problems of low accuracy and cannot fully reflect the fatigue state of muscles, and achieve the effect of intuitive cognition and improvement of detection accuracy.

Active Publication Date: 2020-03-10
THE HONG KONG POLYTECHNIC UNIV SHENZHEN RES INST
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Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a muscle fatigue level detection method and equipment to solve the existing muscle fatigue level detection technology, which can not fully reflect the muscle fatigue level by using the surface electromyography signal to determine the muscle fatigue level. Fatigue state, low accuracy issues

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  • Detecting method for muscle fatigue level and equipment
  • Detecting method for muscle fatigue level and equipment
  • Detecting method for muscle fatigue level and equipment

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Embodiment Construction

[0030] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0031] In the embodiment of the present invention, the execution subject of the process is a terminal device, which includes but is not limited to a personal computer, a mobile terminal, a tablet computer and other terminals installed with a muscle fatigue level detection program to obtain the user's biometric signal to Determine the user's muscle fatigue level. figure 1 It shows the implementation flowchart of the detection method of the muscle fatigue level provided by the first embodiment of the present invention, which is described in detail as follows:

[0032] In S101, a biometric signal of ...

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Abstract

The invention is applicable to the technical field of information processing, and provides a detecting method for a muscle fatigue level and equipment. The method includes the following steps: obtaining a biometric signal of a user; obtaining a wavelet amplitude mean value of a hemoglobin concentration signal through a preset wavelet averaging algorithm; performing Fourier transform on a surface myoelectric signal to obtain a surface myoelectric frequency domain curve of the surface myoelectric signal, and determining a median frequency value according to the surface myoelectric frequency domain curve; leading the wavelet amplitude mean value, median frequency value and a blood oxygen saturation concentration signal mean value into a preset fatigue level calculation model, and determininga current fatigue characteristic value of the user; and based on a preset fatigue level index table, determining the fatigue level corresponding to the fatigue characteristic value. According to the method, the active state of muscle fibers of current user muscles can be determined through the myoelectric signal, and the metabolic state of the muscles can be determined through the blood oxygen signal, so that a more comprehensive judgment on the muscle fatigue state is realized, and the detection accuracy of the muscle fatigue level is improved.

Description

technical field [0001] The invention belongs to the technical field of information processing, and in particular relates to a method and equipment for detecting muscle fatigue levels. Background technique [0002] With the progress of society, people are more and more aware of the important role of exercise in maintaining physical health, and actively participate in various physical exercises in their spare time of life and work, but the muscle fatigue caused by excessive exercise and the resulting sports injuries It also troubles many sports fans. Therefore, the quantitative and accurate detection of muscle local fatigue is of great significance for preventing sports injuries and avoiding chronic musculoskeletal diseases. [0003] The existing muscle fatigue detection technology mainly uses the surface electromyographic signal to determine the user's muscle fatigue, but the electromyographic signal is mainly caused by the ion disorder inside and outside the muscle fiber me...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0488A61B5/145
CPCA61B5/14542A61B5/14546A61B5/389
Inventor 谭启涛张明王岩李增勇
Owner THE HONG KONG POLYTECHNIC UNIV SHENZHEN RES INST
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