Papers
8
Total Citations
132
H-Index
6
About
Ze-Jian Chen is a leading researcher in neurorehabilitation engineering, specializing in robot-assisted therapy for post-stroke motor recovery. His work focuses on developing and validating innovative robotic systems that restore natural, coordinated movement patterns in stroke survivors. Chen’s major contributions include pioneering Exoskeleton-Assisted Anthropomorphic Movement Training (EAMT), which integrates upper extremity natural coordinated patterns into robotic exoskeletons—a departure from conventional planar or mechanical 3D training. His landmark 2020 systematic review and meta-analysis (41 citations) established the efficacy of robot-assisted arm training over therapist-mediated therapy, while his 2023 EAMT randomized trial (32 citations) provided high-level evidence for this approach. Chen has also explored applications for stroke patients with unilateral spatial neglect and developed hybrid frameworks combining action observation with exoskeletons. His recent work extends to next-generation neurotechnologies inspired by motor primitive models and machine learning for gait phase recognition. With over 130 total citations and multiple first-author publications in top rehabilitation journals, Chen is advancing the frontier of human–robot interaction in neurorehabilitation, aiming to make robotic therapy more adaptive, natural, and accessible.
Research Focus
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