Xiujuan Zheng
Papers
8
Total Citations
442
H-Index
5
About
Xiujuan Zheng is a pioneering researcher in rehabilitation robotics and human–machine interaction, with a primary focus on electromyography (EMG)-driven robotic systems for post-stroke motor recovery. Her landmark 2009 study comparing an EMG-driven robot to a passive motion device for wrist rehabilitation in chronic stroke patients has garnered over 210 citations, establishing a foundational benchmark in the field. Zheng’s work demonstrates that interactive, myoelectrically controlled robots can significantly enhance functional recovery by detecting patient intention through EMG signals from forearm muscles, thereby providing voluntary mechanical assistance. Her 2008 quantitative evaluation of motor recovery processes during robot-assisted training (127 citations) further elucidated the neural and muscular adaptations underlying rehabilitation. More recently, Zheng has expanded into path planning with an improved RRT algorithm based on Bridge Test (2023) and lightweight human pose estimation via HP-YOLO (2025), showcasing her versatility in applying robotics and AI to medical challenges. Her contributions have been recognized through multiple randomized controlled trials and comparative studies, solidifying her impact on evidence-based neurorehabilitation.
Research Focus
Key Achievements
Top Papers
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- 3Improved RRT global path planning algorithm based on Bridge Test64 citations · 2023
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- 7HP-YOLO: A Lightweight Real-Time Human Pose Estimation Method4 citations · 2025
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