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About

Alberto Marzegan is a leading researcher in human movement science and neurorehabilitation, whose work bridges biomechanics, robotics, and clinical recovery. His primary research areas include human locomotion analysis, post-stroke motor control, and the development of wearable robotic exoskeletons for rehabilitation. Marzegan’s most impactful contribution is the creation of a comprehensive kinematic, kinetic, and EMG dataset of human locomotion across walking, stair ascent, and descent tasks, featuring 50 subjects aged 6 to 72—a resource cited over 180 times that has become foundational for gait analysis and robotic assistance design. He has also advanced the understanding of muscle synergies in post-stroke rehabilitation, demonstrating through randomized controlled trials that robot-assisted therapy can improve upper limb motor control and reduce pathological co-contraction. His work on monitoring co-contraction indices offers clinicians practical outcome measures for tracking recovery. Additionally, Marzegan has investigated the mechanical interaction between users and wearable exoskeletons, addressing critical issues of motion consistency and user satisfaction. With a cumulative citation count exceeding 290, his research provides essential reference data for defining rehabilitation trajectories and optimizing robotic assistance, making him a key figure in translating movement science into effective neurorehabilitation technologies.