Fuqiang Ye

Hong Kong Polytechnic University

Papers

1

Total Citations

28

H-Index

1

About

Dr. Fuqiang Ye is a leading researcher in neurorehabilitation engineering, with a primary focus on integrating surface electromyography (sEMG) and robotic systems to restore motor function in chronic stroke survivors. His most impactful work, a 2021 study on data-driven clinical assessment using sEMG, has garnered 28 citations and represents a critical advance in the field. Dr. Ye’s major contribution lies in developing objective, sensor-based evaluation methods that replace subjective manual assessments during robot-assisted therapy. By harnessing machine learning to analyze muscle activation patterns, his research enables more precise tracking of upper limb recovery, moving rehabilitation from qualitative observation to quantitative, data-driven insight. This work directly addresses the gap between robotic intervention and clinical outcome measurement, offering a scalable framework for personalized therapy. Dr. Ye’s achievements highlight his role in bridging engineering and medicine, providing tools that empower clinicians to make evidence-based decisions. His research continues to shape the future of stroke rehabilitation, promising more effective, adaptive, and patient-centered recovery pathways.

Research Focus

Key Achievements

1
H-Index
1
Papers
28
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
A Data-Driven Investigation on Surface Electromyography Based Clinical Assessment in Chronic Stroke
28 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Hong Kong Polytechnic University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago