上肢肌肉疲劳多通道表面肌电图分析

A. Ebied, A. Awadallah, M. Abbass, Y. El-Sharkawy
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引用次数: 3

摘要

肌肉疲劳是一个生化过程,它会引起几种影响,其中之一是肌肉电活动的变化。肌电图(EMG)信号以频移和幅度变化的形式检测这些变化。在这项研究中,我们使用记录了15名健康受试者在等长收缩时的8通道肌电图信号来研究前臂肌肉疲劳。我们分别利用中位数频率(MDF)和均方根(RMS)来量化疲劳对频率和振幅的影响。(∆MDF)和(∆RMS)的变化是评估不同受试者和渠道的疲劳的参数。对结果进行统计分析,评价受试者和通道的疲劳易损性。我们的方法能够识别和评估最容易和最不容易疲劳的对象和渠道。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Upper Limb Muscle Fatigue Analysis Using Multi-channel Surface EMG
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 (∆MDF ) and (∆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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