DocumentCode
471534
Title
Resolution of Superpositions in EMG Signals using Belief Propagation: Results for the Known Constituent Problem
Author
Koch, Volker M. ; McGill, Kevin C. ; Loeliger, Hans-Andrea
Author_Institution
Signal & Inf. Process. Lab., ETH Zurich
fYear
2006
fDate
Aug. 30 2006-Sept. 3 2006
Firstpage
1260
Lastpage
1263
Abstract
The problem of resolving superpositions in electromyographic (EMG) signals is considered. The shapes of the motor unit action potentials that make up each superposition are assumed to be known a-priori (known constituent problem). Two different and novel belief propagation algorithms have been developed to solve this problem. These algorithms and simulation results are presented in this paper
Keywords
belief networks; bioelectric potentials; electromyography; medical signal processing; EMG signal; belief propagation algorithms; electromyographic signal; motor unit action potential; AWGN; Belief propagation; Cities and towns; Electrodes; Electromyography; Finite impulse response filter; Fires; Signal processing; Signal resolution; USA Councils; EMG signal decomposition; belief propagation; factor graphs;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location
New York, NY
ISSN
1557-170X
Print_ISBN
1-4244-0032-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2006.259341
Filename
4461988
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