Artificial Intelligence Algorithms in Visual Evoked Potential-Based Brain-Computer Interfaces for Motor Rehabilitation Applications: Systematic Review and Future Directions

Brain-Computer Interface (BCI) is a technology that uses electroencephalographic (EEG) signals to control external devices, such as Functional Electrical Stimulation (FES). Visual BCI paradigms based on P300 and Steady State Visually Evoked potentials (SSVEP) have shown high potential for clinical p...

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Detalles Bibliográficos
Autores principales: Gutierrez-Martinez, Josefina, Mercado-Gutierrez, Jorge A., Carvajal-Gámez, Blanca E., Rosas-Trigueros, Jorge L., Contreras-Martinez, Adrian E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656949/
https://www.ncbi.nlm.nih.gov/pubmed/34899220
http://dx.doi.org/10.3389/fnhum.2021.772837

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656949/
https://www.ncbi.nlm.nih.gov/pubmed/34899220
http://dx.doi.org/10.3389/fnhum.2021.772837

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