Papers

4

Total Citations

54

H-Index

3

About

Fubiao Huang is a leading researcher in neurorehabilitation engineering, with a primary focus on robot-assisted therapy and virtual reality systems for post-stroke recovery. His most impactful work includes a multicentre randomized controlled trial demonstrating that robot-assisted training is not only effective for upper extremity recovery but also yields significant improvements in lower extremity function—a finding that challenges conventional rehabilitation boundaries. With over 23 citations, this study has reshaped clinical perspectives on robotic neurorehabilitation. Huang also pioneered the use of surface electromyography (sEMG) to decode Fugl-Meyer gestures, enabling real-time motion intention recognition for personalized therapy. His development of a virtual reality-based training and assessment system introduced quantitative, objective evaluation standards to a field historically reliant on subjective observation. More recently, his investigation into robot-assisted mirror therapy for patients with right hemisphere damage has opened new avenues for cortical activation and motor recovery. Collectively, Huang’s work bridges engineering and clinical practice, advancing evidence-based, patient-centered rehabilitation technologies that promise to transform stroke recovery outcomes.

Research Focus

Key Achievements

3
H-Index
4
Papers
54
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Comparative Effectiveness of Robot-Assisted Training Versus Enhanced Upper Extremity Therapy on Upper and Lower Extremity for Stroke Survivors: A Multicentre Randomized Controlled Trial
23 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: China Rehabilitation Research Center, Capital Medical University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago