Consensus for experimental design in electromyography (CEDE) project: Amplitude normalization matrix
Consensus for experimental design in electromyography (CEDE) project: Amplitude normalization matrix
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DOI：
10.1016/j.jelekin.2020.102438
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发表时间：
2020-08-01
影响因子：
2.5
通讯作者：
Tucker, Kylie
中科院分区：
文献类型：
--
作者：
Besomi, Manuela;Hodges, Paul W.;Tucker, Kylie
EMG振幅标准化的一般目的是能够在参与者、肌肉、测量会话或电极位置之间进行比较。正常化是必要的，以减少肌肉和周围组织的生理和解剖特征的差异的影响。EMG振幅的归一化提供了关于肌肉激活相对于参考值的幅度的信息。必须选择适当的方法进行归一化，具体参考如何解释EMG信号，并考虑在特定条件下解释时归一化EMG幅度可能如何变化。该矩阵由肌电图实验设计共识（CEDE）项目开发，提出了EMG标准化的六种方法：（1）在与感兴趣的任务相同的任务/背景下的最大自主收缩（MVC），（2）标准化等距MVC（其不一定与感兴趣的任务中的收缩类型匹配），（3）可以是任务特异性的标准化次最大任务（等距/动态），（4）任务中的峰值/平均EMG振幅，（5）非标准化，以及（6）最大M波。首先介绍规范化的一般考虑因素、应报告的功能、定义以及每种规范化方法的“优缺点”。这些信息之后是对特定实验环境的建议，沿着解释决定方法适用性的因素，以及常见问题。该矩阵旨在帮助研究人员选择，报告和解释EMG振幅数据。
The general purpose of normalization of EMG amplitude is to enable comparisons between participants, muscles, measurement sessions or electrode positions. Normalization is necessary to reduce the impact of differences in physiological and anatomical characteristics of muscles and surrounding tissues. Normalization of the EMG amplitude provides information about the magnitude of muscle activation relative to a reference value. It is essential to select an appropriate method for normalization with specific reference to how the EMG signal will be interpreted, and to consider how the normalized EMG amplitude may change when interpreting it under specific conditions. This matrix, developed by the Consensus for Experimental Design in Electromyography (CEDE) project, presents six approaches to EMG normalization: (1) Maximal voluntary contraction (MVC) in same task/context as the task of interest, (2) Standardized isometric MVC (which is not necessarily matched to the con-traction type in the task of interest), (3) Standardized submaximal task (isometric/dynamic) that can be task-specific, (4) Peak/mean EMG amplitude in task, (5) Non-normalized, and (6) Maximal M-wave. General considerations for normalization, features that should be reported, definitions, and "pros and cons" of each normalization approach are presented first. This information is followed by recommendations for specific experimental contexts, along with an explanation of the factors that determine the suitability of a method, and frequently asked questions. This matrix is intended to help researchers when selecting, reporting and interpreting EMG amplitude data.