Onset determination of muscle contraction in surface electromyography signals analysis

Sun Qizhu, Sun Yining, Ding Xiangfeng, Ma Zuchang
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引用次数: 15

Abstract

This paper introduces the online and offline onset detection problem of muscle contraction and their specialties, and gives some criteria of the performance of onset detection algorithms, then several methods or algorithms in commonly used are analyzed and compared, such as visual decision, mean value comparison, linear regression of low pass filter and sliding window average. And it discusses the decision threshold issue and presents a new maximum value detection algorithm (MVD) based on the bipolar model algorithm is fast and insensitive to background noise, and fit for online detection.
表面肌电信号分析中肌肉收缩起始时间的确定
介绍了肌肉收缩的在线和离线起始检测问题及其特点,给出了起始检测算法的性能准则,并对常用的几种方法或算法进行了分析和比较,如视觉判定、均值比较、低通滤波线性回归和滑动窗口平均。讨论了决策阈值问题,提出了一种新的基于双极模型算法的最大值检测算法(MVD),该算法快速且对背景噪声不敏感,适合在线检测。
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