DocumentCode :
1991089
Title :
Inverse problem in the surface EMG: a feasibility study
Author :
Chauvet, E. ; Fokapu, O. ; Gamet, D.
Author_Institution :
Univ. de Compiegne, France
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
1048
Abstract :
The aim of this work is the development of a localisation algorithm of the bioelectric sources using surface electromyographic (SEMG). In this paper, a feasibility study is presented : we simulate the resolution of the SEMG inverse problem. Firsts we developed a program modelling the SEMG signal of the biceps brachii. To resolve the inverse problem, the localisation algorithm uses an estimation procedure. We minimise the difference between calculated potential and observed potential by successive iterations. The procedure is applied successively to the defined zones of the geometrical arm cross-section. The program locates accurately an active motor unit in a given zone, regardless of time and distance.
Keywords :
electromyography; inverse problems; iterative methods; medical signal processing; minimisation; physiological models; accurate location; active motor unit; biceps brachii; calculated potential; defined zones; electrodiagnostics; estimation procedure; geometrical arm cross-section; gradient method; localisation algorithm; motor unit estimation; observed potential; successive iterations; Bioelectric phenomena; Brain modeling; Electric potential; Electrodes; Electromyography; Gradient methods; Inverse problems; Mathematical model; Neuromuscular; Signal resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
ISSN :
1094-687X
Print_ISBN :
0-7803-7211-5
Type :
conf
DOI :
10.1109/IEMBS.2001.1020368
Filename :
1020368
Link To Document :
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