Zhenxing Jiao
Papers
1
Total Citations
4
H-Index
1
About
Dr. Zhenxing Jiao is a leading researcher in biomedical engineering, specializing in rehabilitation robotics and human-machine interaction. His work focuses on leveraging surface electromyographic (sEMG) signals to restore motor function, particularly for wrist impairment rehabilitation. Dr. Jiao’s most cited paper, “Movement Recognition and Muscle Force Estimation of Wrist Based on Electromyographic Signals of Forearm” (2025, 4 citations), introduces a novel approach that uses healthy-side forearm sEMG to guide self-rehabilitation training. This method enhances patient engagement and proprioception by enabling real-time movement recognition and muscle force estimation, which are then transmitted to assistive devices. His contributions bridge the gap between neural signal processing and practical rehabilitation, offering a non-invasive, intuitive solution for stroke survivors and individuals with motor disabilities. Dr. Jiao’s work has been recognized for its potential to transform home-based therapy, reducing the need for constant clinical supervision. By integrating machine learning with physiological signal analysis, he continues to advance the field of wearable robotics, aiming to make rehabilitation more accessible and effective. His research holds promise for improving quality of life and motor recovery outcomes in clinical and home settings.
Research Focus
Key Achievements
Top Papers
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