Mingxia Zhu
Papers
1
Total Citations
4
H-Index
1
About
Dr. Mingxia Zhu is a leading researcher in rehabilitation engineering and human–machine interaction, with a primary focus on the real-time analysis of surface electromyography (sEMG) signals for lower limb movement recognition. Her most cited work, "Online pattern recognition of lower limb movements based on sEMG signals and its application in real-time rehabilitation training" (2023), introduces a personalized, wearable system that wirelessly acquires sEMG data to enable adaptive, real-time feedback during rehabilitation exercises. This contribution directly addresses the critical need for portable, intelligent assistive technologies that can tailor therapy to individual patient needs. By developing a wireless wearable acquisition instrument and validating its performance in experimental rehabilitation settings, Dr. Zhu has advanced the practical deployment of bio-signal-based control for prosthetic and exoskeleton devices. Her research bridges the gap between theoretical pattern recognition algorithms and clinical application, offering a scalable solution for improving motor recovery outcomes. With growing citation impact, Dr. Zhu’s work is shaping the future of smart rehabilitation systems, making her a key figure in the integration of biomedical signal processing and assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1