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The effect of accelerometer location on the classification of single-site forearm mechanomyograms
BACKGROUND: Recently, pattern recognition methods have been deployed in the classification of multiple activation states from mechanomyogram (MMG) signals for the purpose of controlling switching interfaces. Given the propagative properties of MMG signals, it has been suggested that MMG classificati...
Autores principales: | Alves, Natasha, Sejdić, Ervin, Sahota, Bhupinder, Chau, Tom |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2903603/ https://www.ncbi.nlm.nih.gov/pubmed/20537154 http://dx.doi.org/10.1186/1475-925X-9-23 |
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