Comparison of algorithms for estimation of EMG variables during voluntary isometric contractions

被引:249
作者
Farina, D
Merletti, R [1 ]
机构
[1] Politecn Torino, Dept Elect, Ctr Bioingn, Turin, Italy
[2] Ecole Cent Nantes, Dept Automat & Informat Appliquee, Nantes, France
关键词
electromyography; muscle fatigue; whitening filters; AR modeling; conduction velocity;
D O I
10.1016/S1050-6411(00)00025-0
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Many algorithms have been described in the literature for estimating amplitude, frequency variables and conduction velocity of the surface EMG signal detected during voluntary contractions. They have been used in different application areas for the non invasive assessment of muscle functions. Although many studies have focused on the comparison of different methods for information extraction from surface EMG signals, they have been carried out under different conditions and a complete comparison is not available. It is the purpose of this paper to briefly review the most frequently used algorithms for EMG variable estimation, compare them using computer generated as well as real signals and outline the advantages and drawbacks of each. In particular the paper focuses on the issue of EMG amplitude estimation with and without pre-whitening of the signal, mean and median frequency estimation with periodogram and autoregressive based algorithms both in stationary and non-stationary conditions, delay estimation for the calculation of muscle fiber conduction velocity. (C) 2000 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:337 / 349
页数:13
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