An algorithm for detecting the onset of muscle contraction by EMC signal processing

被引：70

作者：

Micera, S ^{[1
]}

Sabatini, AM ^{[1
]}

Dario, P ^{[1
]}

机构：

[1] Scuola Super Sant Anna, ARTS Lab, I-56127 Pisa, Italy

来源：

MEDICAL ENGINEERING & PHYSICS | 1998年 / 20卷 / 03期

关键词：

EMG signal; statistical signal processing; control of assistive devices;

D O I：

10.1016/S1350-4533(98)00017-4

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

The Generalized Likelihood Ratio (GLR) test is proposed for estimating the time instant of muscle contraction onset via electromyographic (EMG) signal processing. In contrast to commonly used threshold-based estimation methods, the proposed algorithm proves to be reasonably accurate even for low levels of EMG activity; the improved behaviour of the GLR test comes with just a modest increase in the computational complexity. A set of computer simulation experiments are presented, where the proposed algorithm and two different threshold-based estimators are studied. also, we discuss the results of analysing the EMG recordings of selected proximal muscles of the upper limb in a hemiparetic subject. (C) 1998 IPEM. Published by Elsevier Science Ltd.

引用

页码：211 / 215

页数：5

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