A data-driven machine learning approach for brain-computer interfaces targeting lower limb neuroprosthetics

Prosthetic devices that replace a lost limb have become increasingly performant in recent years. Recent advances in both software and hardware allow for the decoding of electroencephalogram (EEG) signals to improve the control of active prostheses with brain-computer interfaces (BCI). Most BCI resea...

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Detalles Bibliográficos
Autores principales: Dillen, Arnau, Lathouwers, Elke, Miladinović, Aleksandar, Marusic, Uros, Ghaffari, Fakhreddine, Romain, Olivier, Meeusen, Romain, De Pauw, Kevin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Human Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364873/
https://www.ncbi.nlm.nih.gov/pubmed/35966996
http://dx.doi.org/10.3389/fnhum.2022.949224

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364873/
https://www.ncbi.nlm.nih.gov/pubmed/35966996
http://dx.doi.org/10.3389/fnhum.2022.949224

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