neurorehabilitation

Neurorehabilitation poses a crucial problem in clinical recovery tasks, particularly for individuals with poor motor functions and neurological impairments, and problems in activities of daily living (ADL). To resolve this, we design a novel model, Rehab-DRLX, with a hybrid deep learning (HDL) framework that combines deep reinforcement learning (DRL) with an explainable transformer model to provi…

IntroductionDisorders of consciousness (DoC) are common disabling conditions following severe brain injury that impose a substantial burden on families and society. Music intervention, as a non-invasive stimulation method, has garnered increasing attention in the field of neurorehabilitation. However, evidence regarding its awakening effects in patients with DoC remains inconsistent. This study s…

Scientific Data, Published online: 22 April 2026; doi:10.1038/s41597-026-07287-z An EEG-EMG-kinematics dataset from wrist pointing tasks for biomarker research in neurorehabilitation

Brain–computer interfaces (BCIs) are increasingly explored as tools for post-stroke neurorehabilitation. Motor imagery (MI)-based paradigms are widely used but may be difficult for some patients to perform reliably, motivating the exploration of alternative control strategies. This study presents a retrospective exploratory case series (n = 5) evaluating the feasibility and safety of a P300-based…

Check out a BioE MEng Capstone team's work on treating stroke with electromagnetic field therapy.