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Muscle fatigue detection method, computer equipment and storage medium

A technology of muscle fatigue and detection method, applied in the direction of testing muscle strength, muscle training equipment, diagnostic recording/measurement, etc., can solve problems such as reduced work efficiency, reduced muscle output power, irreversible muscle damage, etc., to achieve the effect of improving accuracy

Pending Publication Date: 2020-11-10
SHENZHEN INST OF ADVANCED TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Muscle fatigue is manifested as a decrease in muscle output force, which will lead to a decrease in work efficiency, and excessive muscle fatigue will cause irreversible damage to muscles

Method used

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  • Muscle fatigue detection method, computer equipment and storage medium
  • Muscle fatigue detection method, computer equipment and storage medium
  • Muscle fatigue detection method, computer equipment and storage medium

Examples

Experimental program
Comparison scheme
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Embodiment approach

[0102] In one embodiment, step S183 may include:

[0103] The fatigue degree of the target muscle is determined according to the value range in which the normalized wavelet packet energy entropy falls into the largest number.

[0104] That is to say, if the normalized wavelet packet energy entropy falls into the value range [0, 0.25) with the largest number, it can be determined directly based on the result that the muscle is already in a state of extreme fatigue. If the normalized wavelet packet energy entropy falls into the value range [0.75, 1) with the largest number, it is determined directly based on the result that the muscle is in an acceptable fatigue state.

[0105] see Figure 6 , Figure 6 It is another specific flowchart of S180 in an embodiment of the muscle fatigue detection method of the present application.

[0106] Optionally, step S180 generates the muscle fatigue index of the target muscle based on the wavelet packet energy entropy, including:

[0107] ...

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Abstract

The invention relates to the technical field of human motion function detection, and discloses a muscle fatigue detection method, computer equipment and a computer readable storage medium. The musclefatigue detection method comprises the steps of acquiring surface myoelectricity data of target muscle; dividing the surface myoelectricity data into a plurality of data segments according to a time sequence; calculating wavelet packet energy entropy of each data segment; and generating a muscle fatigue index of the target muscle based on the wavelet packet energy entropies. In the way, the musclefatigue detection method can be used for quantifying the muscle fatigue degree and improving the muscle fatigue detection accuracy.

Description

technical field [0001] The present application relates to the technical field of human motion function detection, and in particular to a muscle fatigue detection method, computer equipment, and a computer-readable storage medium. Background technique [0002] Muscle fatigue is manifested as a decrease in muscle output force, which will lead to a decrease in work efficiency, and excessive muscle fatigue will cause irreversible damage to muscles. Human muscle contraction is mainly divided into static contraction and dynamic contraction. [0003] Static contraction, also often called isometric contraction, refers to the fact that when the muscle is under tension, the length of the muscle remains unchanged, and it generally occurs when the human body is in a fixed posture. Correspondingly, dynamic contraction refers to the change of muscle length when muscle tension occurs, which generally occurs in the case of repetitive labor of the human body. Research on muscle fatigue has...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0488A61B5/00A61B5/22
CPCA61B5/4519A61B5/7235A61B5/7203A61B5/725A61B5/225
Inventor 王灿段声才吴新宇李梦瑶何柏霖郭子铭
Owner SHENZHEN INST OF ADVANCED TECH
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