A penalized time-frequency band feature selection and classification procedure for improved motor intention decoding in multichannel EEG.

Objective Motor imagery brain-computer interfaces (MI-BCIs) based on electroencephalography (EEG), a promising technology to provide assistance and support rehabilitation of neurological patients with sensorimotor impairments, require a reliable and adaptable subject-specific model to efficiently de... View More