Real-Time Adaptation of an Artificial Neural Network for Transfemoral Amputees Using a Powered Prosthesis

OBJECTIVE: We evaluated a two-step method to improve control accuracy for a powered prosthetic leg using machine learning and adaptation, while reducing subject training time. METHODS: First, information from three transfemoral amputees was grouped together, to create a baseline control system that...

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Detalles Bibliográficos
Autores principales: Woodward, Richard B., Simon, Ann M., Seyforth, Emily A., Hargrove, Levi J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988236/
https://www.ncbi.nlm.nih.gov/pubmed/34652995
http://dx.doi.org/10.1109/TBME.2021.3120616

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988236/
https://www.ncbi.nlm.nih.gov/pubmed/34652995
http://dx.doi.org/10.1109/TBME.2021.3120616

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