Papers
6
Total Citations
130
H-Index
6
About
Chang He is a prominent researcher specializing in rehabilitation robotics, upper limb exoskeletons, and post-stroke motor recovery. His work sits at the intersection of biomedical engineering and clinical neuroscience, focusing on developing and validating intelligent robotic systems that restore functional movement in stroke survivors. He is best known for pioneering the concept of Exoskeleton-Assisted Anthropomorphic Movement Training (EAMT), which integrates the natural coordinated movement patterns of the human upper limb into robotic exoskeleton therapy — a significant departure from conventional, mechanically constrained robot-assisted approaches. His landmark 2023 randomized trial on EAMT (32 citations) and earlier pilot studies have provided compelling clinical evidence for this paradigm. His foundational 2021 work on generating anthropomorphic reaching movements for human-like robots (25 citations) established a key computational framework underpinning this approach. Beyond motor training, He has explored robot-assisted therapy for stroke patients with unilateral spatial neglect and developed action observation treatment protocols combined with exoskeleton use, reflecting a commitment to addressing the full spectrum of post-stroke impairments. His mechatronic design contributions, including wrench-based assistive control systems, further demonstrate his expertise bridging engineering innovation with clinical application. Collectively, his research has accumulated over 130 citations, marking him as an influential figure in neurorehabilitation robotics.
Research Focus
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