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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2022
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| Materias: | |
| 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 |