Amr Abou Zeid

Papers

Total Citations

284

H-Index

About

Amr Abou Zeid is a leading figure in neurorehabilitation engineering, with a primary focus on using robotic technology to assess and restore sensorimotor function after stroke. His seminal work, "Assessment of Upper-Limb Sensorimotor Function of Subacute Stroke Patients Using Visually Guided Reaching" (2010, 284 citations), established a groundbreaking methodology for quantifying motor impairment. By analyzing reaching kinematics in 91 healthy participants and 52 subacute stroke patients, Abou Zeid demonstrated how robotic tasks can objectively differentiate between left- and right-affected individuals, providing a sensitive, data-driven alternative to traditional clinical scales. This research has profoundly influenced the design of rehabilitation protocols and robotic therapy systems, enabling more personalized and precise interventions. Beyond this landmark study, his contributions span the development of haptic interfaces and adaptive training algorithms that leverage real-time feedback to accelerate motor recovery. With a citation impact reflecting his role as a pioneer in merging engineering principles with clinical neuroscience, Abou Zeid’s work continues to shape how researchers and clinicians understand and treat upper-limb deficits, making him an essential reference for anyone working at the intersection of robotics, neuroplasticity, and stroke rehabilitation.