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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Principais autores:	Josefina Gutierrez-Martinez, Jorge A. Mercado-Gutierrez, Blanca E. Carvajal-Gámez, Jorge L. Rosas-Trigueros, Adrian E. Contreras-Martinez
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2021-11-01
Colecção:	Frontiers in Human Neuroscience
Assuntos:	BCI visual stimulation classification performance metrics steady state visually evoked potentials P300
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fnhum.2021.772837/full
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