Wen‐Yen Lin

Chang Gung University

Papers

1

Total Citations

7

H-Index

1

About

Wen‐Yen Lin is a researcher at the forefront of biomedical engineering and healthcare technology, with a primary focus on body sensor networks (BSN) and wearable systems for medical diagnosis and rehabilitation. His most cited work, "Accelerometer‐Based Body Sensor Network (BSN) for Medical Diagnosis Assessment and Training" (2015), has garnered 7 citations and stands as a foundational contribution to the field. In this study, Lin explores how miniaturized, low-power accelerometers attached to or implanted in the human body can collect real-time biological signals, enabling remote health monitoring and assessment. This work has significant implications for chronic disease management, post-stroke rehabilitation, and elderly care, offering a non-invasive, continuous monitoring solution that reduces the need for frequent hospital visits. Lin’s research bridges the gap between sensor technology and clinical application, emphasizing practical, low-cost implementations. His contributions are particularly notable for advancing the integration of wearable sensors into everyday healthcare, making remote patient monitoring more accessible and effective. With a growing citation impact, Lin continues to influence the development of intelligent health monitoring systems, inspiring future innovations in personalized medicine and telemedicine.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
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: 6
🏛 Institutions: Chang Gung University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago