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

机译:通过EMG传播方向识别表面和深层肌肉活动

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摘要

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.
机译:通常很难识别表面和深层肌肉活动。如果我们能够识别表面和深层肌肉活动,我们可以提供有效的康复工具。因此,在这项研究中,我们旨在使用表面电极识别表面和深层肌肉活动。我们专注于表层肌肉和深层肌肉的肌肉纤维的交点。在这样的地方,我们发现可以测量每条肌肉纤维上独立的肌肉活动。在这个结果中,我们可以确认我们可以通过与在表面肌肉纤维的延长线上和在深层肌肉外部测量的信号进行比较来独立地测量表面层肌肉的活动。此外,我们使用电极阵列确定了肌电信号的传播方向。由每个电极上测得的EMG信号的延迟时间确定。当我们分别激活表面和深层肌肉时,EMG信号的每个传播方向都对应于每个肌纤维方向。因此,我们表明识别表面和深层肌肉活动是可能的。

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