用高清晰度电极分离表面肌电信号中的疲劳成分

M. Al-Mulla, F. Sepulveda
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引用次数: 1

摘要

肌电表面肌电信号电极被应用于许多肌肉疲劳研究中,用于检测各种肌肉群的疲劳,并通过一系列特征提取方法进行分析。较新的研究正在应用多通道电极,目的是提高所研究肌肉发出的信号的质量。本研究比较了4个和6个多通道电极的使用,以确定肱二头肌记录信号的疲劳和非疲劳部分的分离。受试者进行等长肱二头肌手臂弯曲练习,直至疲劳。使用功率谱密度对信号进行分析,并使用戴维斯-布尔丹指数计算类别之间的间隔。结果表明,使用4通道和6通道电极均可成功分离表面肌电信号;然而,对于使用4通道电极的信号,可以实现更好的分离。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Separation of Fatigue Content in sEMG Signals Using High Definition Electrodes
SEMG electrodes are applied in numerous studies on muscle fatigue, utilised to detect the fatigue in various muscle groups analysed by a range of feature extraction methods. Newer research are applying multi-channel electrodes with the aim of increasing the quality of the signal emanating from the studied muscle. This research is comparing the use of 4 and 6 multi-channel electrodes to determine the separation between fatigue and non-fatigue segments of the recorded signals from the biceps brachii. Subjects performed isometric biceps brachii arm curl exercises until fatiguing. The signals were analysed using power spectrum density, and the Davies-Bouldin index calculated the separation between the classes. The results show separation was successful for sEMG signals using both 4 and 6 channel electrodes; however, better separation was achieved for signals with 4-channel electrodes.
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