Identification of Surface and Deep Layer Muscle Activity by EMG Propagation Direction

T. Koshio, S. Sakurazawa, M. Toda, J. Akita, K. Kondo, Y. Nakamura
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引用次数: 1

Abstract

It is generally difficult to identify surface and deep layer muscle activity. If we could identify surface and deep layer muscle activity, we can provide effective tools for rehabilitation. Therefore, in this study, we aim to identify surface and deep layer muscle activity using surface electrodes. We focused on the intersection of muscle fibers of surface layer muscle and deep layer muscle. On such a place, we found that we could measure independent muscle activity along each muscle fiber. In this result, we could confirm that we could measure surface layer muscle activity independently by comparing with the signal which is measured on extended line of surface muscle fiber and on outside of the deep layer muscle. Additionally, we identified propagation direction of EMG signal using electrode array. It was determined from delay time of EMG signal measured on each electrode. When we activated surface and deep layer muscle independently, each propagation direction of EMG signal corresponded to each muscle fiber direction. Thus, we indicated that identification of surface and deep layer muscle activity is possible.
肌电图传播方向识别浅层和深层肌肉活动
通常很难识别表层和深层肌肉活动。如果我们能够识别表层和深层肌肉活动,我们可以提供有效的康复工具。因此,在本研究中,我们的目标是使用表面电极识别表层和深层肌肉活动。我们重点研究了表层肌肉和深层肌肉纤维的交点。在这样一个地方,我们发现我们可以测量每条肌肉纤维的独立肌肉活动。通过与表面肌纤维延长线和深层肌外测得的信号进行比较,可以证实我们可以独立测量表层肌肉活动。此外,我们还利用电极阵列确定了肌电信号的传播方向。由各电极上测得的肌电信号延迟时间确定。当我们分别激活表层和深层肌肉时,肌电信号的每个传播方向对应于每个肌纤维方向。因此,我们表明识别表层和深层肌肉活动是可能的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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