Abstract：
This tutorial intends to provide insight, instructions and \"best practices\" for those who are novices-including clinicians, engineers and non-engineers-in extracting electromyogram (EMG) amplitude from the bipolar surface EMG (sEMG) signal of voluntary contractions. A brief discussion of sEMG amplitude extraction from high density sEMG (HDsEMG) arrays and feature extraction from electrically elicited contractions is also provided. This tutorial attempts to present its main concepts in a straightforward manner that is accessible to novices in the field not possessing a wide range of technical background (if any) in this area. Surface EMG amplitude, also referred to as the sEMG envelope [often implemented as root mean square (RMS) sEMG or average rectified value (ARV) sEMG], quantifies the voltage variation of the sEMG signal and is grossly related to the overall neural excitation of the muscle and to peripheral parameters. The tutorial briefly reviews the physiological origin of the voluntary sEMG signal and sEMG recording, including electrode configurations, sEMG signal transduction, electronic conditioning and conversion by an analog-to-digital converter. These topics have been covered in greater detail in prior tutorials in this series. In depth descriptions of state-of-the-art methods for computing sEMG amplitude are then provided, including guidance on signal pre-conditioning, absolute value vs. square-law detection, selection of appropriate sEMG amplitude smoothing filters and attenuation of measurement noise. The tutorial provides a detailed list of best practices for sEMG amplitude estimation.
摘要：
本教程旨在提供见解，指导和“最佳实践”对于那些新手-包括临床医生，工程师和非工程师从自愿收缩的双极表面肌电图（sEMG）信号中提取肌电图（EMG）幅度。还提供了从高密度sEMG（HDsEMG）阵列中提取sEMG幅度以及从电引起的收缩中提取特征的简要讨论。本教程试图以一种简单的方式呈现其主要概念，该领域的新手可以在这方面没有广泛的技术背景（如果有）。表面肌电图振幅,也称为sEMG包络[通常实现为均方根(RMS)sEMG或平均整流值(ARV)sEMG]，量化sEMG信号的电压变化，与肌肉的整体神经兴奋和外周参数密切相关。本教程简要回顾了自愿性sEMG信号和sEMG记录的生理起源，包括电极配置，sEMG信号转导,通过模数转换器进行电子调节和转换。本系列之前的教程中已经详细介绍了这些主题。然后提供了对计算sEMG振幅的最新方法的深入描述，包括信号预处理的指导，绝对值与平方律检测，选择合适的sEMG幅度平滑滤波器和衰减测量噪声。本教程提供了sEMG振幅估计最佳实践的详细列表。
