Decomposition of electromyographic signals by iterative message passing in a graphical model

Author

Koch, V.M. ; Loeliger, H.-A.

Author_Institution

Dept. of Information Technol. & Electr. Eng., ETH, Zurich, Switzerland

Volume

1

fYear

2004

fDate

1-5 Sept. 2004

Firstpage

65

Lastpage

68

Abstract

The problem of decomposing electromyographic (EMG) signals is considered. Starting from a graphical model (factor graph) of the problem, a new iterative decomposition algorithm is proposed. It is based on the sum-product (or belief/probability propagation) algorithm and is able to decompose heavily superimposed single- and multi-channel signals.

Keywords

electromyography; iterative methods; medical signal processing; message passing; physiological models; belief/probability propagation; electromyographic signal decomposition; factor graph; graphical model; heavily superimposed multi-channel signals; heavily superimposed single-channel signals; iterative message passing; sum-product; AWGN; Electrodes; Electromyography; Finite impulse response filter; Graphical models; Message passing; Muscles; Signal analysis; Signal processing algorithms; Signal resolution; EMG signal; factor graph; signal decomposition; superposition;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE

Conference_Location

San Francisco, CA

Print_ISBN

0-7803-8439-3

Type

conf

DOI

10.1109/IEMBS.2004.1403091

Filename

1403091