Evaluation of Running Intensity and Fatigue Degree Based on Human Physiological Information

Abstract

Muscle fatigue represents a complex phenomenon including various causes, mechanisms, and forms of manifestation. It develops as a result of a chain of metabolic, structural, and energetic changes in muscles due to insufficient oxygen and nutritive substances supply through blood circulation, as well as a result of intensive physical exercise. In this study, a new method for frequency band energy of wavelet packet decomposition is proposed which combines normalized energy into wavelet packet decomposition and uses the frequency band energy quotient as physiological parameters for detecting muscles fatigue before and after human exercise. The operator’s subjective fatigue test and surface electromyography (EMG) objective test were combined to design the experiment, and a computer program was used to control the operation interface and record the operation results. Three major operating fatigue variables, namely, the most comfortable initial position of the operator, the difference in operating direction, and the difference in operating distance, were evaluated. The surface EMG consumption of the operator was measured synchronously with the surface EMG meter. After variable control and error analysis, test results are analyzed, and the range of the operator’s most comfortable initial position is summarized. The differences of operator fatigue degree in eight operating directions and operating fatigue degree in different operating distance variables are obtained. In the whole test process, the operator’s subjective test results and objective test results remain consistent, which has proved the rationality of the experimental design and experimental results.