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About

Geoffrey Murray is a biomedical engineer and rehabilitation technology researcher whose work sits at the intersection of robotics, neuroscience, and clinical stroke recovery. His research focuses primarily on robot-assisted stroke rehabilitation, brain-computer interface (BCI) systems, and the application of electroencephalography (EEG) to monitor and guide motor recovery in post-stroke patients. Murray's most influential contribution, garnering 21 citations, introduced an adaptive assist-as-needed control system combined with immersive virtual reality to enhance fine hand motor rehabilitation in subacute stroke patients — a landmark integration of cutting-edge technologies aimed at maximising neuroplasticity. Building on this foundation, his subsequent work explored EEG-based detection of movement intention signals, investigating optimal electrode placement and exercise protocols to improve the precision and effectiveness of BCI-driven rehabilitation systems. A recurring theme across his publications is the use of movement-related cortical potentials (MRCPs) as objective biomarkers of neuroplasticity, offering clinicians a measurable window into the brain's reorganisation during recovery. His patient-specific, multi-session rehabilitation studies — spanning both supratentorial and brainstem stroke populations — reflect a commitment to translating laboratory findings into practical clinical tools. With a growing citation record across seven published works, Murray is establishing himself as a meaningful contributor to the future of intelligent, brain-guided rehabilitation engineering.