表面肌电特征提取技术综述

G. Emayavaramban, A. Amudha, M. Ramkumar, S. Divyapriya, P. Nagaveni
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引用次数: 10

摘要

肌电图(EMG)通过检查由肌肉产生的电运动来研究肌肉的工作。这种电运动表现为与肌肉收缩相关的神经肌肉启动的结果。亮点提取是将原始的标识信息通过疏散噪声转化为适用的信息结构,突出重要信息。本文研究了三种基本类型的亮点,例如:时间区域、递归空间和基于肌电图控制框架的活动的时间递归区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Surface Eletromyography Feature Extraction Techniques – A Review
Electromyography (EMG) performs an investigation on muscles work through the examination of electrical movement that is created from muscles. This electrical movement is shown in type of sign is the consequence of neuromuscular initiation related with muscle constriction. Highlight extraction is the change of the crude sign information into an applicable information structure by evacuating clamor, and featuring the significant information. This paper investigates three fundamental classes of highlights, for example: time area, recurrence space, and the time-recurrence area for the activity of an EMG based control framework.
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