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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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| Publicado en: | J Neuroeng Rehabil |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
BioMed Central
2021
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7885418/ https://ncbi.nlm.nih.gov/pubmed/33588868 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12984-021-00832-4 |
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