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Recalibration of myoelectric control with active learning
INTRODUCTION: Improving the robustness of myoelectric control to work over many months without the need for recalibration could reduce prosthesis abandonment. Current approaches rely on post-hoc error detection to verify the certainty of a decoder's prediction using predefined threshold value....
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797496/ https://www.ncbi.nlm.nih.gov/pubmed/36590085 http://dx.doi.org/10.3389/fnbot.2022.1061201 |