Ling-Fu Meng
Papers
1
Total Citations
2
H-Index
1
About
Ling-Fu Meng is a leading researcher in rehabilitation robotics and neuromuscular biomechanics, with a focus on understanding and mitigating muscle fatigue during robot-assisted therapy. His work integrates myoelectric, myo-oxygenation, and myotonometry techniques to quantify physiological responses during bilateral arm exercises, particularly for post-stroke rehabilitation. A key contribution is his 2024 study on how varying resistance levels affect muscle fatigue and oxygenation during robot-assisted training, providing critical insights for optimizing therapy protocols. This work has already garnered early citations, reflecting its relevance to clinicians and engineers designing adaptive rehabilitation systems. Meng’s research bridges the gap between robotic assistance and human physiology, aiming to enhance motor recovery while minimizing fatigue-related setbacks. His findings have implications for personalized rehabilitation, where real-time monitoring of muscle state could guide resistance adjustments. By systematically examining the interplay between robotic support and neuromuscular responses, Meng is advancing evidence-based protocols that could transform stroke rehabilitation. His work represents a vital step toward safer, more effective, and fatigue-aware robotic therapy, positioning him as an emerging authority in neurorehabilitation engineering.
Research Focus
Key Achievements
Top Papers
- 1