ADVANCES IN PROCESSING OF SURFACE MYOELECTRIC SIGNALS .1.

被引:98
作者
MERLETTI, R
LOCONTE, LR
机构
[1] BOSTON UNIV, NEUROMUSCULAR RES CTR, BOSTON, MA 02215 USA
[2] BOSTON UNIV, DEPT BIOMED ENGN, BOSTON, MA 02215 USA
关键词
ELECTROMYOGRAPHY; EMG; MUSCLE FATIGUE; PARAMETRIC MODELS; SIGNAL PROCESSING; SPECTRAL ESTIMATION;
D O I
10.1007/BF02510518
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
During sustained voluntary or electrically elicted muscle contractions the surface myoelectric signal is nonstationary and it undergoes progressive changes reflecting the modifications of the motor unit action potentials and their propagation velocity. In particular, during sustained electrical stimulation, the evoked signals show progressive amplitude, time scaling and shape modification. The quantitative evaluation of these changes is important for non-invasive muscle characterisation and may be performed in either the time or frequency domain using parametric and nonparametric spectral analysis as well as alternative methodologies. The paper introduces the detection techniques, reviews and compares the methods of spectral estimation based on FFT and autoregressive models, and discusses their applications and limitations in extracting information from the surface myoelectric signal with particular regard to myoelectric manifestations of localised muscle fatigue during sustained contractions.
引用
收藏
页码:362 / 372
页数:11
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