基于多通道表面肌电信号带谱熵的肌肉疲劳度分析  

Analysis of the Muscle Fatigue Based on Band Spectrum Entropy of Multi-channel Surface Electromyography

作　　者：刘建[1] 邹任玲[1] 张东衡[2] 徐秀林[1] 胡秀枋[1] 

机构地区：[1]上海理工大学医疗器械与食品学院,上海200093 [2]上海健康医学院,上海200093

出　　处：《生物医学工程学杂志》2016年第3期431-435,共5页Journal of Biomedical Engineering

基　　金：上海市科学技术委员会科研计划项目资助(14441905100)

摘　　要：运动性肌肉疲劳特指运动引起肌肉产生最大随意收缩力量或者输出功率暂时性下降的生理现象,处理不当会对人体产生严重的运动性损伤。本文通过对人体下肢表面肌电信号进行多通道采集,采用肌电信号频谱分析与非线性动力学结合起来的带谱熵方法,对运动性肌肉疲劳度进行衡量。实验结果显示,随着肌肉疲劳程度的增加,肌电信号频谱开始向低频移动,能量越来越集中,系统复杂度下降,反映复杂度的带谱熵值也随之降低。通过对熵值变化的监测,可以度量肌肉疲劳程度,为体育训练、临床康复训练等疲劳程度的判定提供了一个指标。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.

关 键 词：表面肌电信号 疲劳度 多通道 带谱熵 

分 类 号：R337[医药卫生—人体生理学] TN911.7[医药卫生—基础医学]