Zhengwei Yue
Papers
1
Total Citations
7
H-Index
1
About
Dr. Zhengwei Yue is a leading researcher in biomedical robotics and intelligent rehabilitation systems, with a core focus on human-robot interaction and motion intention recognition. His most impactful work, "A Study on Lower Limb Movement Intention Recognition Based on Multi-Source Information Fusion" (2024, 7 citations), pioneers a novel method that fuses surface electromyographic signals (sEMG) with lower limb joint angles. This multi-source information fusion approach significantly enhances the responsiveness and suppleness of lower limb rehabilitation medical robots, enabling more natural and adaptive assistance during patient recovery. By decoding complex neuromuscular and kinematic data, Dr. Yue’s contributions directly address critical challenges in assistive robotics—improving how robots anticipate and respond to human movement. His research bridges the gap between signal processing and clinical rehabilitation, offering a pathway toward smarter, patient-responsive devices. As an emerging scholar, his work is already shaping the future of intelligent prosthetics and exoskeletons, with potential to transform mobility restoration for individuals with lower limb impairments.
Research Focus
Key Achievements
Top Papers
- 1