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Tutorial: Analysis of motor unit discharge characteristics from high-density surface EMG signals

机译:教程:高密度表面EMG信号的电机单元放电特性分析

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Recent work demonstrated that it is possible to identify motor unit discharge times from high-density surface EMG (HDEMG) decomposition. Since then, the number of studies that use HDEMG decomposition for motor unit investigations has increased considerably. Although HDEMG decomposition is a semi-automatic process, the analysis and interpretation of the motor unit pulse trains requires a thorough inspection of the output of the decomposition result. Here, we report guidelines to perform an accurate extraction of motor unit discharge times and interpretation of the signals. This tutorial includes a discussion of the differences between the extraction of global EMG signal features versus the identification of motor unit activity for physiological investigations followed by a comprehensive guide on how to acquire, inspect, and decompose HDEMG signals, and robust extraction of motor unit discharge characteristics.
机译:最近的工作证明,可以从高密度表面EMG(HDEMG)分解中识别电机单元放电时间。 从那时起,使用HDEMG分解对电机单元调查的研究数量增加了很大增加。 尽管HDEMG分解是半自动过程,但电机单元脉冲列车的分析和解释需要彻底检查分解结果的输出。 在这里,我们报告准则以进行精确提取电机单元放电时间和信号解释。 本教程包括讨论全局EMG信号特征的提取与生理调查的电机单元活动之间的差异,然后是如何获取,检查和分解HDEMG信号的综合指南,以及机动单元放电的鲁棒提取 特征。

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