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...

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Detalles Bibliográficos
Autores principales: Alves, Natasha, Sejdić, Ervin, Sahota, Bhupinder, Chau, Tom
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Research
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

Internet

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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