Chanjuan Su
Papers
1
Total Citations
14
H-Index
1
About
Dr. Chanjuan Su has established herself as a leading voice in biomechatronics and rehabilitation engineering, with a focused expertise in the prediction and control of human joint dynamics. Her most cited work, "Ankle Joint Torque Prediction Based on Surface Electromyographic and Angular Velocity Signals" (2020, 14 citations), represents a significant contribution to the field. In this research, Dr. Su tackled a core challenge in adaptive rehabilitation: the real-time estimation of joint torque. By integrating surface electromyography (sEMG) signals with angular velocity data, she developed a predictive model that is critical for advancing quantitative limb rehabilitation assessments and the control of exoskeleton robots. This work directly addresses the need for robust feedback signals in adaptive functional electrical stimulation (FES) systems. Her research bridges the gap between neural signal processing and practical robotic assistance, offering a pathway toward more responsive and personalized rehabilitation devices. Dr. Su’s contributions are foundational for engineers and clinicians seeking to create smarter, more intuitive assistive technologies that respond dynamically to a patient's physiological state.
Research Focus
Key Achievements
Top Papers
- 1