DocumentCode
3459984
Title
Parametric modeling based automatic classification of the EMG signal
Author
Sitbon, S. ; Gasmi, F. ; Castanié, F. ; Carillo, J.P. ; Moog, J.J. ; Périssé, J.
Author_Institution
GAPSE ENSEEIHT, Toulouse, France
fYear
1988
fDate
4-7 Nov. 1988
Firstpage
1182
Abstract
The authors deal with surface EMG interpretation, especially the discrimination between the healthy and neurogenic states. Various parametric modeling coefficients and classification rules are investigated. Although weak neurogenic state detection still remains difficult to attain, the efficiency of such procedures applied to medium or strong neurogenic state recognition is established.<>
Keywords
bioelectric potentials; muscle; physiological models; automatic EMG signal classification; classification rules; healthy state; parametric modeling coefficients; strong neurogenic state recognition; surface EMG interpretation; weak neurogenic state detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1988. Proceedings of the Annual International Conference of the IEEE
Conference_Location
New Orleans, LA, USA
Print_ISBN
0-7803-0785-2
Type
conf
DOI
10.1109/IEMBS.1988.94852
Filename
94852
Link To Document