Wearable myoelectricity method for online evaluation of muscle exercise fatigue

Abstract

The invention discloses a wearable myoelectricity method for online evaluation of muscle movement fatigue in the technical field of human body bio-electricity signal analysis and evaluation, and the method comprises the following steps: carrying out ankle joint rehabilitation training on a testee by aiming at a lower limb rehabilitation robot, and carrying out the rehabilitation training and myoelectricity signal collection preparation work of the testee; selecting and extracting muscle fatigue degree evaluation characteristic parameters; on-line electromyographic signal acquisition is carried out; the method is based on a portable electromyographic signal acquisition instrument, secondary development of an online acquisition and online muscle fatigue evaluation system is carried out, real-time data acquisition is completed through an equipment communication protocol by utilizing a Labview 2020 platform, and hybrid programming is carried out by combining the advantages of fast data processing, simple operation and the like of a Matlab platform; the functions of data waveform display, data storage, on-line processing and on-line evaluation are met, the muscle fatigue condition in the exercise production process can be known conveniently and rapidly, and processing can be conducted in time.

Description

technical field [0001] The invention relates to the technical field of analysis and evaluation of human bioelectrical signals, in particular to a wearable electromyography method for online evaluation of muscle exercise fatigue. Background technique [0002] Muscle fatigue is a common physiological phenomenon in people's life. The scope of muscle fatigue itself is very wide. With the increase of production work intensity and time, muscle fatigue will occur. The clinical manifestations are slowing down of movement speed, coordination and flexibility. Reduced, long-term accumulation will cause muscle damage, muscle pain and even muscle atrophy during production activities. In order to avoid muscle damage caused by muscle fatigue, the degree of muscle fatigue should be effectively assessed. The traditional muscle fatigue assessment is a method proposed by Borg to infer exercise intensity and fatigue. [0003] When muscles are fatigued, muscle tissue metabolites increase, and ...

AI Technical Summary

Problems solved by technology

[0004] Since most researchers currently use wired equipment to save the collected EMG signals, and then analyze the degree of muscle fatigue offline, this method is not timely; in addition, each person's physical fitness, nutritional status, gender, age, etc. Both have a significant effect on muscle fatigue, so an individual fatigue assessment method should be established

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