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
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;
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
DOI :
10.1109/IEMBS.1988.94852
