DocumentCode
2948190
Title
EMG signal decomposition by loopy belief propagation
Author
Koch, Volker M. ; Loeliger, Hans-Andrea
Author_Institution
Dept. of Inf. Technol. & Electr. Eng., ETH Zentrum, Zurich, Switzerland
Volume
5
fYear
2005
fDate
18-23 March 2005
Abstract
The problem of separating superimposed action potentials in electromyographic (EMG) signals is considered. Based on a graphical model (factor graph), a new EMG signal decomposition algorithm that uses loopy belief propagation is presented. Results show that the algorithm is capable of decomposing multiple superpositions in simulated and measured EMG signals.
Keywords
FIR filters; belief networks; electromyography; medical signal processing; EMG signal decomposition; EMG signal graphical model; FIR filters; electromyographic signals; factor graphs; loopy belief propagation; motor unit action potential; multiple signal superpositions; superimposed action potential separation; AWGN; Additive white noise; Belief propagation; Electrodes; Electromyography; Finite impulse response filter; Fires; Graphical models; Muscles; Signal resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8874-7
Type
conf
DOI
10.1109/ICASSP.2005.1416324
Filename
1416324
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