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

共 14 条

[1]

BOGEY RA, 1992, ARCH PHYS MED REHAB, V73, P835

[2] A dynamic neural network identification of electromyography and arm trajectory relationship during complex movements [J].

Cheron, G ;

Draye, JP ;

Bourgeios, M ;

Libert, G .

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1996, 43 (05) :552-558

[3] RELIABILITY OF COMPUTERIZED SURFACE ELECTROMYOGRAPHY FOR DETERMINING THE ONSET OF MUSCLE-ACTIVITY [J].

DIFABIO, RP .

PHYSICAL THERAPY, 1987, 67 (01) :43-48

[4] FUNCTIONAL SEPARATION OF EMG SIGNALS VIA ARMA IDENTIFICATION METHODS FOR PROSTHESIS CONTROL PURPOSES [J].

GRAUPE, D ;

CLINE, WK .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1975, SMC5 (02) :252-259

[5] MULTIFUNCTIONAL PROSTHESIS AND ORTHOSIS CONTROL VIA MICROCOMPUTER IDENTIFICATION OF TEMPORAL PATTERN DIFFERENCES IN SINGLE-SITE MYOELECTRIC SIGNALS [J].

GRAUPE, D ;

SALAHI, J ;

KOHN, KH .

JOURNAL OF BIOMEDICAL ENGINEERING, 1982, 4 (01) :17-22

[6] A comparison of computer-based methods for the determination of onset of muscle contraction using electromyography [J].

Hodges, PW ;

Bui, BH .

ELECTROMYOGRAPHY AND MOTOR CONTROL-ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1996, 101 (06) :511-519

[7] THE APPLICATION OF NEURAL NETWORKS TO MYOELECTRIC SIGNAL ANALYSIS - A PRELIMINARY-STUDY [J].

KELLY, MF ;

PARKER, PA ;

SCOTT, RN .

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1990, 37 (03) :221-230

[8] IDENTIFICATION OF LOWER ARM MOTIONS USING THE EMG SIGNALS OF SHOULDER MUSCLES [J].

LATWESEN, A ;

PATTERSON, PE .

MEDICAL ENGINEERING & PHYSICS, 1994, 16 (02) :113-121

[9]

MICERA S, UNPUB IEEE T REHAB E

[10]

PARKER P, 1993, IEEE T BIOMED ENG, V40, P82

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