1. Resolving superimposed MUAPs using particle swarm optimization
- Author
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Marateb, Hamid Reza and McGill, Kevin C.
- Subjects
Mathematical optimization -- Research ,Electromyography -- Methods ,Algorithms -- Usage ,Decomposition (Mathematics) -- Methods ,Signal processing -- Methods ,Motor neurons -- Properties ,Algorithm ,Digital signal processor ,Biological sciences ,Business ,Computers ,Health care industry - 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.
- Published
- 2009