Title :
Parametric modeling of EMG signals
Author :
Gasmi, F. ; Sitbon, S. ; Castanie, F. ; Carillo, J.P. ; Perisse, J. ; Moog, J.J.
Author_Institution :
ENSEEIHT-GAPSE, Toulouse, France
Abstract :
The authors deal with the application to EMG signals of parametric modeling and performance evaluation. Two main topics are discussed: the parametric spectral analysis of EMG signals as compared to FFT-based spectral estimation, and the deconvolution of EMG, i.e. retrieval of the MUAPs using the multipulse excitation modeling. It is shown that parametric models give more accurate spectrum estimates than the FFT. What is more important, they give parameters which are relevant. Multipulse modeling seems to be of great interest in the retrieval of the MUAPs.<>
Keywords :
bioelectric potentials; muscle; physiological models; EMG signals; FFT-based spectral estimation; multipulse excitation modeling; parametric modeling; parametric spectral analysis;
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.1988.94849
