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Resolving Superimposed MUAPs using Particle Swarm Optimization
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, cross-over, and multiple swarms. In a simulation study invo...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2008
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2673334/ https://ncbi.nlm.nih.gov/pubmed/19272923 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2008.2005953 |
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