肌电图
等长运动
肌肉疲劳
前臂
振幅
均方根
肌肉收缩
物理医学与康复
数学
语音识别
计算机科学
医学
物理疗法
解剖
物理
工程类
电气工程
量子力学
作者
Ahmed Ebied,Ahmed M. Awadallah,Mohamed A. Abbass,Yasser H. El-Sharkawy
出处
期刊:2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)
日期:2020-10-24
卷期号:: 423-427
被引量:9
标识
DOI:10.1109/niles50944.2020.9257909
摘要
Muscle fatigue is a biochemical process that causes several effects, one of them is changes in muscular electrical activity. Electromyography (EMG) signals detect these changes in the form of frequency shift and amplitude variation. In this study, forearm muscle fatigue has been investigated using 8-channel EMG signal recorded from 15 healthy subjects during isometric contraction. We utilise Median Frequency (MDF) and Root-Mean-Square (RMS) to quantify the fatigue effects on frequency and amplitude, respectively. The changes of both (Δ MDF ) and (Δ RMS ) are the parameters to assess fatigue across subjects and channels. Statistical analysis has been carried out on the results to evaluate the vulnerability of subjects and channels to fatigue. Our methods were able to identify and assess the most and least susceptible subjects and channels to fatigue.
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