Evaluation of EMG processing techniques using Information Theory.
Evaluation of EMG processing techniques using Information Theory.
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DOI：
10.1186/1475-925x-9-72
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发表时间：
2010-11-12
影响因子：
3.9
通讯作者：
Felice CJ
中科院分区：
文献类型：
--
作者：
Farfán FD;Politti JC;Felice CJ
肌电图信号可用于生物医学工程和/或康复领域，作为假肢和矫形器的潜在控制来源。在这些应用中，数字处理技术是必要的，以便有效地跟踪肌肉收缩产生的生理特征的变化。本文提出了两种基于信息论的评价方法。这些方法决定了处理技术能够从肌电信号中提取的信息量。用这些方法评价的处理技术有：绝对均值（AMV）、均方根值（RMS）、方差值（VAR）和差绝对均值（DAMV）。记录手臂肩胛骨平面外展和内收运动时中三角肌的肌电图信号，用于静态和动态收缩。最佳窗口长度（分割），外展和内收运动和电极间距离也进行了分析。在最佳分割条件下（静态收缩和动态收缩分别为200 ms和300 ms），静态收缩的最佳处理技术为均方根、AMV和VAR，动态收缩的最佳处理技术为均方根、AMV和VAR。利用肌电信号的均方根，观察外展和内收运动之间信息量的变化。虽然本文提出的评估方法适用于标准处理技术，但这些方法也可以被视为评估不同电生理学领域新处理技术的替代工具。
Electromyographic signals can be used in biomedical engineering and/or rehabilitation field, as potential sources of control for prosthetics and orthotics. In such applications, digital processing techniques are necessary to follow efficient and effectively the changes in the physiological characteristics produced by a muscular contraction. In this paper, two methods based on information theory are proposed to evaluate the processing techniques. These methods determine the amount of information that a processing technique is able to extract from EMG signals. The processing techniques evaluated with these methods were: absolute mean value (AMV), RMS values, variance values (VAR) and difference absolute mean value (DAMV). EMG signals from the middle deltoid during abduction and adduction movement of the arm in the scapular plane was registered, for static and dynamic contractions. The optimal window length (segmentation), abduction and adduction movements and inter-electrode distance were also analyzed. Using the optimal segmentation (200 ms and 300 ms in static and dynamic contractions, respectively) the best processing techniques were: RMS, AMV and VAR in static contractions, and only the RMS in dynamic contractions. Using the RMS of EMG signal, variations in the amount of information between the abduction and adduction movements were observed. Although the evaluation methods proposed here were applied to standard processing techniques, these methods can also be considered as alternatives tools to evaluate new processing techniques in different areas of electrophysiology.