Learning regularized representations of categorically labelled surface EMG enables simultaneous and proportional myoelectric control

BACKGROUND: Processing the surface electromyogram (sEMG) to decode movement intent is a promising approach for natural control of upper extremity prostheses. To this end, this paper introduces and evaluates a new framework which allows for simultaneous and proportional myoelectric control over multi...

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Detalles Bibliográficos
Autores principales: Olsson, Alexander E., Malešević, Nebojša, Björkman, Anders, Antfolk, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885418/
https://www.ncbi.nlm.nih.gov/pubmed/33588868
http://dx.doi.org/10.1186/s12984-021-00832-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885418/
https://www.ncbi.nlm.nih.gov/pubmed/33588868
http://dx.doi.org/10.1186/s12984-021-00832-4

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