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Abstract Details

Artificial Intelligence (AI) powered P300 and SSVEP based Brain Computer Interfaces (BCI) used in Neurorehabilitation - a Systematic Review and Meta-Analysis
Neuro-rehabilitation
N5 - Neuroscience in the Clinic: Neuromodulation Tools in Stroke Acute Treatment, Prevention, and Recovery (1:00 PM-1:15 PM)
001

BCIs augment traditional rehabilitation methods with cutting-edge biomedical engineering. BCIs utilise electroencephalographic (EEG) signals in conjunction with AI as classifiers, providing real time feedback. BCI approaches like P300 and Steady State Visual Evoked Potential (SSVEP) paradigms have been widely explored for diverse applications like virtual reality and gaming. Other major applications include robotic prostheses, communication and rehabilitation in people suffering from motor disabilities like spinal cord lesions, ALS and locked-in syndrome, which needs to be further established. 

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