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首页> 外文期刊>Journal of Zhejiang University. Science, A >Multifractal analysis of surface EMG signals for assessing muscle fatigue during static contractions
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Multifractal analysis of surface EMG signals for assessing muscle fatigue during static contractions

机译:表面EMG信号的多重分析分析,用于评估静态收缩肌疲劳的肌肉疲劳

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摘要

This study is aimed at assessing muscle fatigue during a static contraction using multifractal analysis and found that the surface electromyographic (SEMG) signals characterized multifractality during a static contraction. By applying the method of direct determination of the f(α) singularity spectrum, the area of the multifractal spectrum of the SEMG signals was computed. The results showed that the spectrum area significantly increased during muscle fatigue. Therefore the area could be used as an assessor of muscle fatigue. Compared with the median frequency (MDF)―the most popular indicator of muscle fatigue, the spectrum area presented here showed higher sensitivity during a static contraction. So the singularity spectrum area is considered to be a more effective indicator than the MDF for estimating muscle fatigue.
机译:本研究旨在使用多法分析的静态收缩期间评估肌肉疲劳,并发现表面电偏心(SEMG)信号在静态收缩期间表征多重性。通过应用直接确定F(α)奇异度谱的方法,计算了SEMG信号的多重分谱谱的面积。结果表明,在肌肉疲劳期间,光谱面积显着增加。因此该地区可用作肌肉疲劳的评估员。与中值频率(MDF)相比 - 肌肉疲劳最受欢迎的指标,这里呈现的光谱面积在静态收缩期间显示出更高的灵敏度。因此,奇异度光谱区域被认为是比MDF更有效的指标,用于估计肌肉疲劳。

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