Degong Rong
Papers
1
Total Citations
5
H-Index
1
About
Dr. Degong Rong is a researcher at the forefront of rehabilitation robotics and human–machine interaction, with a specialized focus on electromyography (EMG)-based control systems. His most cited work, "A close-loop EMG model for continuous joint movements estimation of a rehabilitation robot" (2017), introduces a novel closed-loop algorithm that integrates an EMG state-space model with a measurement equation to estimate continuous joint movements. This approach enables more intuitive and active control of lower limb rehabilitation robots, moving beyond traditional open-loop torque estimation models. By refining the Hill muscle model to better capture dynamic joint kinematics, Dr. Rong’s contribution directly addresses a critical challenge in assistive robotics: achieving seamless, real-time coordination between human intent and robotic response. Though his citation count is still growing, his work represents a foundational step toward more responsive and patient-driven rehabilitation technologies. His research holds significant promise for improving motor recovery outcomes in stroke and spinal cord injury patients, positioning him as an emerging voice in the field of neurorobotics and assistive device design.
Research Focus
Key Achievements
Top Papers
- 1