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

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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Bibliographic Details
Main Authors: Josefina Gutierrez-Martinez, Jorge A. Mercado-Gutierrez, Blanca E. Carvajal-Gámez, Jorge L. Rosas-Trigueros, Adrian E. Contreras-Martinez
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-11-01
Series:Frontiers in Human Neuroscience
Subjects:
BCI
visual stimulation
classification
performance metrics
steady state visually evoked potentials
P300
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2021.772837/full

Internet

https://www.frontiersin.org/articles/10.3389/fnhum.2021.772837/full

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