Research on Evaluation Method of Exercise Fatigue Based on Electromyography

In order to reduce the damage of exercise fatigue to the human body and improve work efficiency, conducting research on exercise fatigue evaluation has important theoretical and practical value for the design, training, and prevention of occupational diseases in physical work tasks. This study designed and conducted a running experiment, analyzed the variation patterns of time-domain and frequency-domain indicators of surface electromyography (EMG) signals during the process of deepening fatigue, explored the relationship between EMG signals and exercise fatigue, and established a fatigue evaluation model based on EMG signals support vector machine. The results showed that the integrate electromyography (IEMG), root mean square (RMS), mean power frequency (MPF), and median frequency (MF) of EMG had good sensitivity to fatigue changes, and the constructed fatigue evaluation model based on support vector machine (SVM) had good accuracy and could effectively evaluate exercise fatigue.