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Resolving superimposed MUAPs using particle swarm optimization
- Source :
- IEEE Transactions on Biomedical Engineering. March, 2009, Vol. 56 Issue 3, p916, 4 p.
- Publication Year :
- 2009
-
Abstract
- This paper presents an algorithm to resolve superimposed action potentials encountered during the decomposition of electromyographic signals. The algorithm uses particle swarm optimization with a variety of features including randomization, crossover, and multiple swarms. In a simulation study involving realistic superpositions of two to five motor-unit action potentials, the algorithm had an accuracy of 98%. Index Terms--Alignment, decomposition, electromyography, particle swarm optimization, superposition.
Details
- Language :
- English
- ISSN :
- 00189294
- Volume :
- 56
- Issue :
- 3
- Database :
- Gale General OneFile
- Journal :
- IEEE Transactions on Biomedical Engineering
- Publication Type :
- Academic Journal
- Accession number :
- edsgcl.199118104