AI Article Synopsis
- Exercise-induced muscle fatigue leads to a temporary reduction in muscle power output, which can cause serious injuries if not addressed properly.
- The study uses multi-channel electromyography to analyze muscle fatigue by employing band spectrum entropy, combining spectral analysis with nonlinear dynamics.
- Results show that as muscle fatigue increases, the signal spectrum shifts to lower frequencies and the system's complexity decreases, allowing entropy monitoring to serve as an indicator for assessing muscle fatigue in sports training and rehabilitation.
Article Abstract
Exercise-induced muscle fatigue is a phenomenon that the maximum voluntary contraction force or power output of muscle is temporarily reduced due to muscular movement.If the fatigue is not treated properly,it will bring about a severe injury to the human body.With multi-channel collection of lower limb surface electromyography signals,this article analyzes the muscle fatigue by adoption of band spectrum entropy method which combined electromyographic signal spectral analysis and nonlinear dynamics.The experimental result indicated that with the increase of muscle fatigue,muscle signal spectrum began to move to low frequency,the energy concentrated,the system complexity came down,and the band spectrum entropy which reflected the complexity was also reduced.By monitoring the entropy,we can measure the degree of muscle fatigue,and provide an indicator to judge fatigue degree for the sports training and clinical rehabilitation training.
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