Papers

12

Total Citations

122

H-Index

8

About

Haohan Zhang is a biomedical robotics researcher whose work centers on wearable exoskeleton systems, neuromuscular rehabilitation, and assistive technologies for individuals with neurological disorders. He is best known for pioneering the development of robotic neck brace technology — a line of research that has produced novel tools for both diagnosing and treating head-neck dysfunction in patients with amyotrophic lateral sclerosis (ALS) and cerebral palsy. His landmark 2019 studies introduced the first dynamic neck brace capable of simultaneously capturing head motion and surface electromyography in ALS patients, establishing a new clinical benchmark for characterizing neuromuscular impairment. Zhang's subsequent work demonstrated that powered neck exoskeletons can meaningfully restore head-neck control in head-drop patients, a significant clinical milestone. His research further spans cable-driven robotic platforms with six degrees of freedom, bio-inspired gaze-driven interfaces drawing on the vestibulo-ocular reflex, and the application of artificial neural networks to solve complex forward kinematics in wearable parallel robots. With over 115 cumulative citations across his most recognized works, Zhang's contributions represent a compelling intersection of robotics, neuroscience, and rehabilitative medicine that continues to expand possibilities for patients with severe motor impairments.

Research Focus

Key Achievements

8
H-Index
12
Papers
122
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
A robotic neck brace to characterize head‐neck motion and muscle electromyography in subjects with amyotrophic lateral sclerosis
22 citations · 2019
📈 Most Prolific Year: 2019 (4 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Columbia University, University of Utah, Dalian University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago