Yuhui Cen
Papers
2
Total Citations
5
H-Index
2
About
Yuhui Cen is a researcher at the intersection of rehabilitation robotics and intelligent healthcare systems. Their work focuses on two key areas: optimizing robotic rehabilitation therapy and enabling cuffless physiological monitoring for medical service robots. Cen’s major contribution to rehabilitation robotics is the development of a trajectory optimization algorithm that incorporates an intelligent decision mechanism, allowing for customized and optimized training programs tailored to individual patient needs. This work, published in 2022, has garnered 3 citations and addresses a critical challenge in robot-assisted therapy. In the realm of precision healthcare, Cen introduced OCViTnet, a novel deep learning architecture that learns pulse wave features for cuffless blood pressure estimation. This 2023 study, with 2 citations, is designed to empower medical service robots with self-diagnostic capabilities, enhancing their utility in clinical settings. While still early in their career, Cen’s contributions demonstrate a clear vision for integrating robotics with personalized, data-driven healthcare, promising significant advancements in both rehabilitation and autonomous medical monitoring.
Research Focus
Key Achievements
Top Papers
- 1
- 2