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采用先进的棘波触发平均技术评估胫骨前肌持续收缩期间的单运动单位传导速度。

Assessment of single motor unit conduction velocity during sustained contractions of the tibialis anterior muscle with advanced spike triggered averaging.

作者信息

Farina Dario, Arendt-Nielsen Lars, Merletti Roberto, Graven-Nielsen Thomas

机构信息

Department of Electronics, Centro di Bioingegneria, Politecnico di Torino, Italy.

出版信息

J Neurosci Methods. 2002 Mar 30;115(1):1-12. doi: 10.1016/s0165-0270(01)00510-6.

Abstract

This paper describes an improved spike triggered averaging technique for the assessment of control properties and conduction velocity (CV) of single motor units (MUs) of the tibialis anterior muscle during voluntary muscle contractions. The method is based on the detection of multi-channel surface EMG signals (with linear electrode arrays) and intramuscularly recorded single MU action potentials (MUAPs). Intramuscular electrodes were inserted in the muscle taking into account the MU structural properties (innervation zone, tendon locations, length of the fibers), assessed by the linear array surface EMG detection technique. An algorithm for intramuscular EMG signal decomposition is used to identify single MUAP trains. The MUAPs detected by the intramuscular EMG decomposition algorithm were used to trigger and average the multi-channel EMG signals. CV of single averaged surface MUAPs was estimated by the use of advanced signal processing methods based on multi-channel recordings which allow to consistently reduce the variance of CV estimates compared with traditional two channel delay estimators. The number of averaged potentials can thus be limited, resulting in high temporal resolution CV estimates. The developed technique was tested on recordings from the tibialis anterior muscle in 11 volunteers during fatigue. It was shown that the method allows the assessment of single MU CV changes (fatigue) as small as 0.1 m/s with less than 2 s data epochs. The method allows reliable assessment of firing rate and conduction properties of single MUs with applications for the investigation of central and peripheral fatigue mechanisms.

摘要

本文描述了一种改进的锋电位触发平均技术,用于评估在自主肌肉收缩期间胫骨前肌单个运动单位(MU)的控制特性和传导速度(CV)。该方法基于多通道表面肌电图信号(使用线性电极阵列)和肌内记录的单个MU动作电位(MUAP)的检测。考虑到通过线性阵列表面肌电图检测技术评估的MU结构特性(神经支配区、肌腱位置、纤维长度),将肌内电极插入肌肉中。使用一种肌内肌电图信号分解算法来识别单个MUAP序列。通过肌内肌电图分解算法检测到的MUAP用于触发和平均多通道肌电图信号。通过基于多通道记录的先进信号处理方法估计单个平均表面MUAP的CV,与传统的双通道延迟估计器相比,该方法能够持续降低CV估计的方差。因此,可以限制平均电位的数量,从而实现高时间分辨率的CV估计。在11名志愿者疲劳期间对胫骨前肌的记录上测试了所开发的技术。结果表明,该方法能够在小于2秒的数据段内评估低至0.1米/秒的单个MU CV变化(疲劳)。该方法能够可靠地评估单个MU的放电率和传导特性,可用于研究中枢和外周疲劳机制。

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