Yongzhen Li
Papers
1
Total Citations
4
H-Index
1
About
Yongzhen Li is a researcher at the forefront of rehabilitation robotics and biomedical signal processing, with a primary focus on enhancing motor recovery for individuals with wrist impairments. Their most-cited work introduces a novel approach to self-rehabilitation training by leveraging surface electromyographic (sEMG) signals from the healthy forearm. Li’s key contribution lies in developing an integrated algorithm that simultaneously recognizes intended wrist movements and estimates corresponding muscle force from sEMG data, enabling intuitive, proprioceptive-driven therapy without the need for invasive sensors. This method significantly improves patient engagement by allowing real-time, bilateral control of rehabilitation devices. With 4 citations to date, this 2025 study has already garnered attention for its practical potential in home-based neurorehabilitation. Li’s work bridges the gap between neural signal decoding and assistive technology, offering a scalable solution for stroke and injury recovery. Their research stands out for its emphasis on user-centered design, making complex bioelectrical signals accessible for everyday therapeutic use.
Research Focus
Key Achievements
Top Papers
- 1