Liu Jian, Zou Renling, Zhang Dongheng, Xu Xiulin, Hu Xiufang
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2016 Jun;33(3):431-5.
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.
运动性肌肉疲劳是一种由于肌肉运动导致肌肉最大自主收缩力或功率输出暂时降低的现象。如果疲劳得不到妥善处理，将会给人体带来严重损伤。本文通过多通道采集下肢表面肌电信号，采用结合肌电信号频谱分析与非线性动力学的频段谱熵方法对肌肉疲劳进行分析。实验结果表明，随着肌肉疲劳程度的增加，肌肉信号频谱开始向低频移动，能量集中，系统复杂度降低，反映复杂度的频段谱熵也随之减小。通过监测熵值，可以衡量肌肉疲劳程度，为运动训练和临床康复训练提供疲劳程度判断指标。
