Yugang Geng
Papers
1
Total Citations
4
H-Index
1
About
Yugang Geng is a researcher at the intersection of intelligent health monitoring, signal processing, and smart medical devices, with a particular focus on integrating traditional Chinese rehabilitation techniques with modern sensor and information fusion technologies. His most notable contribution is the development of SNIF-DFA, a signal processing and information fusion method designed for a Smart Gua Sha Device, which addresses the growing need for remote patient care—especially during the COVID-19 pandemic—by automating and professionalizing traditional gua sha therapy. This work, published in 2022, has garnered 4 citations and represents a pioneering step toward making contact-based rehabilitation more accessible and data-driven. Geng’s research demonstrates a unique ability to bridge ancient healing practices with cutting-edge embedded systems and machine learning, offering new possibilities for tele-rehabilitation and personalized health management. His work is particularly relevant for students and researchers interested in cyber-physical systems, biomedical signal analysis, and the digital transformation of traditional medicine.
Research Focus
Key Achievements
Top Papers
- 1