Meiju Li
Papers
1
Total Citations
9
H-Index
1
About
Dr. Meiju Li is a pioneering researcher in rehabilitation robotics and human motion analysis, with a primary focus on leveraging surface electromyography (sEMG) for post-stroke motor recovery. Her work centers on decoding complex neuromuscular signals to predict joint kinematics, directly addressing the critical challenge of restoring upper limb function in stroke survivors. Li’s most cited study, “Continuous Prediction of Wrist Joint Kinematics Using Surface Electromyography From the Perspective of Muscle Anatomy and Muscle Synergy Feature Extraction” (2024, 9 citations), introduces an innovative approach that combines muscle anatomy insights with muscle synergy features to enhance the precision of motion intention prediction. This breakthrough enables rehabilitation robots to dynamically adjust assistance levels, significantly improving therapy efficacy and patient quality of life. By integrating neurophysiological principles with machine learning, Li’s research bridges the gap between biological signal processing and practical robotic control. Her contributions are foundational for developing adaptive, patient-specific rehabilitation systems, positioning her as a leading voice in the intersection of biomechanics, neural engineering, and assistive technology.
Research Focus
Key Achievements
Top Papers
- 1