A Novel Functional Electrical Stimulation-Induced Cycling Controller Using Reinforcement Learning to Optimize Online Muscle Activation Pattern

This study introduces a novel controller based on a Reinforcement Learning (RL) algorithm for real-time adaptation of the stimulation pattern during FES-cycling. Core to our approach is the introduction of an RL agent that interacts with the cycling environment and learns through trial and error how...

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Detalles Bibliográficos
Autores principales: Coelho-Magalhães, Tiago, Azevedo Coste, Christine, Resende-Martins, Henrique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741342/
https://www.ncbi.nlm.nih.gov/pubmed/36501826
http://dx.doi.org/10.3390/s22239126

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741342/
https://www.ncbi.nlm.nih.gov/pubmed/36501826
http://dx.doi.org/10.3390/s22239126

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