PROJECT TITLE :

Monitoring Neuro-Motor Recovery From Stroke With High-Resolution EEG, Robotics and Virtual Reality: A Proof of Concept

ABSTRACT:

A novel system for the neuro-motor rehabilitation of higher limbs was validated in three sub-acute post-stroke patients. The system permits synchronized cortical and kinematic measures by integrating high-resolution EEG, passive robotic device and Virtual Reality. The brain functional re-organization was monitored in association with motor patterns replicating activities of daily living (ADL). Patients underwent 13 rehabilitation sessions. At sessions 1, 7 and 13, clinical tests were administered to assess the amount of motor impairment, and EEG was recorded throughout rehabilitation task execution. For each session and rehabilitation task, four kinematic indices of motor performance were calculated and compared with the outcome of clinical tests. Purposeful supply maps were obtained from EEG knowledge and projected on the $64000 patients' anatomy (MRI information). Laterality indices were calculated for hemispheric dominance assessment. All patients showed increased participation in the rehabilitation method. Cortical activation changes throughout recovery were detected in relation to different motor patterns, hence verifying the system's suitability to feature quantitative measures of motor performance and neural recovery to classical tests. We have a tendency to conclude that this method appears a promising tool for novel robot-based rehabilitation paradigms tailored to individual desires and neuro-motor responses of the patients.