Simultaneous Force Regression and Movement Classification of Fingers via Surface EMG within a Unified Bayesian Framework

This contribution presents a novel methodology for myolectric-based control using surface electromyographic (sEMG) signals recorded during finger movements. A multivariate Bayesian mixture of experts (MoE) model is introduced which provides a powerful method for modeling force regression at the fing...

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Detalles Bibliográficos
Autores principales: Baldacchino, Tara, Jacobs, William R., Anderson, Sean R., Worden, Keith, Rowson, Jennifer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5834453/
https://www.ncbi.nlm.nih.gov/pubmed/29536005
http://dx.doi.org/10.3389/fbioe.2018.00013

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5834453/
https://www.ncbi.nlm.nih.gov/pubmed/29536005
http://dx.doi.org/10.3389/fbioe.2018.00013

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