Farina D, Merletti R, Indino B, Graven-Nielsen T
Dipartimento di Elettronica, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino, 10129, Italy.
Methods Inf Med. 2004;43(1):30-5.
Surface EMG crosstalk is the EMG signal detected over a non-active muscle and generated by a nearby muscle. The aim of this study was to analyze the sources of crosstalk signals in surface EMG recordings and to discuss methods proposed in the literature for crosstalk quantification and reduction.
The study is based on both simulated and experimental signals. The simulated signals are generated by a structure based surface EMG signal model. Signals were recorded with both intramuscular and surface electrodes and single motor unit surface potentials were extracted with the spike triggered averaging approach. Moreover, surface EMG signals were recorded from electrically stimulated muscles.
From the simulation and experimental analysis it was clear that the main determinants of crosstalk are non-propagating signal components, generated by the extinction of the intracellular action potentials at the tendons. Thus, crosstalk signals have a different shape with respect to the signals detected over the active muscle and contain high frequency components.
Since crosstalk has signal components different from those dominant in case of detection from near sources, commonly used methods to quantify and reduce crosstalk, such as the cross-correlation coefficient and high-pass temporal filtering, are not reliable. Selectivity of detection systems must be discussed separately as selectivity with respect to propagating and non-propagating signal components. The knowledge about the origin of crosstalk signal constitutes the basis for crosstalk interpretation, quantification, and reduction.
表面肌电图串扰是在非活动肌肉上检测到的、由附近肌肉产生的肌电图信号。本研究的目的是分析表面肌电图记录中串扰信号的来源,并讨论文献中提出的串扰量化和减少方法。
本研究基于模拟信号和实验信号。模拟信号由基于结构的表面肌电图信号模型生成。使用肌内电极和表面电极记录信号,并采用尖峰触发平均法提取单个运动单位的表面电位。此外,从电刺激肌肉记录表面肌电图信号。
通过模拟和实验分析清楚地表明,串扰的主要决定因素是由肌腱处细胞内动作电位消失产生的非传播信号成分。因此,串扰信号相对于在活动肌肉上检测到的信号具有不同的形状,并包含高频成分。
由于串扰具有与近源检测时占主导地位的信号成分不同的信号成分,常用的串扰量化和减少方法,如互相关系数和高通时间滤波,是不可靠的。检测系统的选择性必须分别作为对传播和非传播信号成分的选择性来讨论。关于串扰信号起源的知识构成了串扰解释、量化和减少的基础。