Hongsheng Qi
Papers
1
Total Citations
4
H-Index
1
About
Hongsheng Qi is a leading researcher in rehabilitation robotics, with a focus on developing intelligent systems for post-stroke motor recovery. His work centers on the integration of surface electromyography (sEMG) with cable-driven robotic mechanisms to create adaptive, patient-responsive training devices. Qi’s major contribution lies in the design and validation of mirror-training paradigms, where a healthy limb’s muscle signals guide the robot-assisted movement of an impaired limb, promoting neuroplasticity and functional restoration. His most-cited paper, "Mirror-Training of a Cable-Driven Hand Rehabilitation Robot Based on Surface Electromyography (sEMG)" (2019), with 4 citations, demonstrates a novel approach to providing long-term, accurate stimulation for separate finger movements—a critical challenge in hand rehabilitation. This work underscores his commitment to translating biomechanical principles into practical, clinically relevant tools. Qi’s research not only advances robotic assistance but also bridges the gap between neural control and mechanical actuation, offering hope for more effective, personalized therapy. His achievements highlight a promising trajectory in human-robot interaction for healthcare, making him a notable figure in the field of rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
- 1