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Modeling the acceptability of BCIs for motor rehabilitation after stroke: A large scale study on the general public

IntroductionStrokes leave around 40% of survivors dependent in their activities of daily living, notably due to severe motor disabilities. Brain-computer interfaces (BCIs) have been shown to be efficiency for improving motor recovery after stroke, but this efficiency is still far from the level requ...

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Principais autores: Elise Grevet, Killyam Forge, Sebastien Tadiello, Margaux Izac, Franck Amadieu, Lionel Brunel, Léa Pillette, Jacques Py, David Gasq, Camille Jeunet-Kelway
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2023-02-01
coleção:Frontiers in Neuroergonomics
Assuntos:
brain-computer interface (BCI)
neurofeedback (NF)
acceptability
acceptance
stroke
motor rehabilitation
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fnrgo.2022.1082901/full
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