An Upper-Limb Motor Imagery EEG Dataset of Chronic Stroke Patients (opens in new tab)

Motor imagery (MI)-based brain-computer interface (BCI) systems offer a promising approach for post-stroke motor rehabilitation. However, their clinical translation is limited by the scarcity of large, clinically relevant electroencephalography (EEG) datasets. This study presents the HS Stroke dataset, consisting of 57,902 left- and right-hand MI EEG trials collected across 278 sessions from 14 chronic stroke patients, along with comprehensive clinical assessments. Under the cross-trial evalu...