Ahmed Aljabery

Improving Multi-Class Motor Imagery Classification Using EEG Signals and a Hybrid Deep Learning Model in Brain–Computer Interface Systems for Patients with Motor Disabilities

EEG (Electroencephalography)-based BCI (brain-computer interface) systems are widely used to help patients with motor disabilities. Motor imagery (MI) is a major BCI paradigm since it allows the user to imagine the movement of limbs without its muscular execution. Nonetheless, the multi-class MI-EEG classification rema...