Signal processing of the surface electromyogram to gain insight into neuromuscular physiology

被引：38

作者：

Karlsson, J. Stefan ^{[1
]}

Roeleveld, Karin ^{[2
]}

Gronlund, Christer ^{[1
]}

Holtermann, Andreas ^{[2
]}

Ostlund, Nils ^{[1
]}

机构：

[1] Univ Hosp, Dept Biomed Engn & Informat, S-90185 Umea, Sweden

[2] Norwegian Univ Sci & Technol, Human Movement Sci Programme, N-7491 Trondheim, Norway

来源：

PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES | 2009年 / 367卷 / 1887期

关键词：

electromyography; multi-channel; spatio-temporal processing; neuromuscular physiology; muscle function; muscle control; MUSCLE-FIBER CONDUCTION; UPPER TRAPEZIUS MUSCLE; MOTOR UNIT RECRUITMENT; BICEPS-BRACHII MUSCLE; MYOELECTRIC SIGNALS; DYNAMIC CONTRACTIONS; EMG SIGNALS; SPATIAL-DISTRIBUTION; FREQUENCY-SHIFT; POWER SPECTRA;

D O I：

10.1098/rsta.2008.0214

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

A surface electromyogram (sEMG) contains information about physiological and morphological characteristics of the active muscle and its neural strategies. Because the electrodes are situated on the skin above the muscle, the sEMG is an easily obtainable source of information. However, different combinations of physiological and morphological characteristics can lead to similar sEMG signals and sEMG recordings contain noise and other artefacts. Therefore, many sEMG signal processing methods have been developed and applied to allow insight into neuromuscular physiology. This paper gives an overview of important advances in the development and applications of sEMG signal processing methods, including spectral estimation, higher order statistics and spatio-temporal processing. These methods provide information about muscle activation dynamics and muscle fatigue, as well as characteristics and control of single motor units ( conduction velocity,. ring rate, amplitude distribution and synchronization).

引用

页码：337 / 356

页数：20

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