Motor imagery-based brain–computer interface training for post-stroke upper limb dysfunction: systematic review and meta-analysis
Background Motor imagery based brain–computer Interface (MI BCI) utilises electroencephalographic signals from imagined limb movements for control commands, enabling real time interaction with external devices. Clinical trials suggest its potential for upper limb recovery post stroke. This study aims to systematically evaluate the effectiveness of MI BCI on upper limb motor function in patients with post stroke he...