Hanyu Huang

Papers

Total Citations

H-Index

About

Hanyu Huang is a leading researcher at the intersection of biomedical engineering and artificial intelligence, with a primary focus on rehabilitation technologies for stroke survivors. His work centers on developing intelligent systems that restore hand function in hemiplegic patients, leveraging cutting-edge hand motion recognition devices and AI-driven feedback mechanisms. Huang’s most-cited paper, "A Review of Hand Function Rehabilitation Systems Based on Hand Motion Recognition Devices and Artificial Intelligence" (2022, 44 citations), critically synthesizes advances in sensor-based motion tracking and machine learning algorithms to address the growing global burden of stroke-related disabilities. This review has become a foundational resource for researchers designing adaptive rehabilitation tools, highlighting how AI can personalize therapy by interpreting subtle neuromuscular signals. Huang’s contributions are particularly timely given the accelerating aging population, and his work underscores the potential of non-invasive, cost-effective solutions to improve motor recovery and quality of life. By bridging robotics, neural engineering, and clinical practice, Huang is shaping next-generation rehabilitation paradigms that empower patients to regain independence.