DocumentCode
1698591
Title
Adaptive estimation of spectral parameters for myoelectric signals by means of AR modelling
Author
Biagini, M. ; D´Alessio, T. ; Paggi, S.
Author_Institution
Dept. Infocom, Roma Univ., Italy
fYear
1989
Firstpage
689
Abstract
The authors report the results obtained using an autoregressive (AR) method in the study of myoelectric signals during sustained contractions, when fatigue is supposed to occur. The differences between this sequential method and a batch Burg method are reported. Good results were obtained when the method was applied to experimentally recorded signals, and the computational burden was acceptable. The adaptive algorithm used makes it possible to estimate spectral parameters almost continuously and to control the variance of the estimates
Keywords
bioelectric potentials; muscle; parameter estimation; physiological models; adaptive algorithm; adaptive estimation; autoregressive modelling; batch Burg method; computational burden; estimates variance; experimentally recorded signals; muscular fatigue; myoelectric signals; sequential method; spectral parameters; sustained contractions; Adaptive estimation; Estimation error; Fatigue; Filters; Frequency; Iterative algorithms; Parameter estimation; Parametric statistics; Reflection; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location
Seattle, WA
Type
conf
DOI
10.1109/IEMBS.1989.95934
Filename
95934
Link To Document