Eyad Hajissa

Papers

Total Citations

H-Index

About

Eyad Hajissa is a researcher in motor learning and neurorehabilitation, whose work focuses on reshaping how individuals move through innovative feedback techniques. His key research areas include movement variability, visual and robotic training, and stroke rehabilitation. Hajissa’s major contribution is the development of "limit-push" training, a method that uses enhanced visual or force feedback to alter movement distributions rather than just average performance. For instance, his 2017 study on visual limit-push training (7 citations) demonstrated how this approach can manipulate movement variability in healthy individuals. Expanding on this, his 2019 work on stroke rehabilitation (5 citations) tested a robot-free visual distortion environment that shifts a subject’s cursor to simulate forces, offering a low-cost alternative for therapy. His 2018 study (5 citations) further validated limit-push robotic training in both healthy and neurologically impaired populations, showing that artificially induced high-cost regions can reshape motion patterns. Though early in his career, Hajissa’s work is notable for bridging motor control theory with practical rehabilitation tools, potentially reducing reliance on expensive robotics. His research holds promise for accessible, feedback-driven therapies that enhance recovery after neurological injury.