Papers

2

Total Citations

9

H-Index

2

About

Kin Fong Lei is a leading researcher in biomedical microelectromechanical systems (Bio-MEMS), body sensor networks (BSN), and smart materials for healthcare applications. His work bridges engineering and medicine, focusing on wearable technologies that enable real-time, remote health monitoring. Lei’s most-cited paper, "Accelerometer‐Based Body Sensor Network (BSN) for Medical Diagnosis Assessment and Training" (2015), with 7 citations, introduces a system of miniaturized, low-power sensors attached to the body to collect biological signals for continuous health assessment—a foundational contribution to telemedicine and personalized care. In earlier work, "A proposal for manipulating Nafion micro actuators using neural-fuzzy based control" (2002), with 2 citations, he explored ionic polymer actuators for precise cellular manipulation, advancing Bio-MEMS capabilities in lab-on-a-chip and microsurgery. Lei’s research has significant impact on developing non-invasive diagnostic tools and smart materials, with applications ranging from rehabilitation to chronic disease management. His innovative integration of neural-fuzzy control with microactuators highlights his interdisciplinary approach, making him a key figure in the evolution of wearable health technologies and biomedical microdevices.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Accelerometer‐Based Body Sensor Network (BSN) for Medical Diagnosis Assessment and Training
7 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Chang Gung University, Chinese University of Hong Kong

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago