Adapting myoelectric control in real-time using a virtual environment

BACKGROUND: Pattern recognition technology allows for more intuitive control of myoelectric prostheses. However, the need to collect electromyographic data to initially train the pattern recognition system, and to re-train it during prosthesis use, adds complexity that can make using such a system d...

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Detalles Bibliográficos
Autores principales: Woodward, Richard B., Hargrove, Levi J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6335715/
https://www.ncbi.nlm.nih.gov/pubmed/30651109
http://dx.doi.org/10.1186/s12984-019-0480-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6335715/
https://www.ncbi.nlm.nih.gov/pubmed/30651109
http://dx.doi.org/10.1186/s12984-019-0480-5

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