Dr Po Yang is a Senior Lecturer in Large-scale Data Fusion at Sheffield University, UK. He has generated more than 80 peer-reviewed scientific publications (30 IEEE Trans/Journal, 2 ESI Highly Cited Papers) in the fields of Pervasive Healthcare, Medical Image Processing, Health Data Analytic and Internet of Things (IoT) enabled healthcare applications. His research work has been supported by European FP6/FP7/H2020, UK EPSRC, Innovate UK, including 8 EU projects and 4 EPSRC/TSB funded projects. Also, he served as the Guest Editor for 5 International Journals (Pervasive and Mobile Computing, Journal of Biomedical Informatics, IEEE Journal of Internet of Things), and have chaired/co-chaired over 10 international conferences and workshops. He received 4 Best/Outstanding Paper Awards from IEEE iThings-2017, IEEE PiCOM 2015, HPCSC 2013, IEEE ICAC 2008, IEEE ICAC 2007. Department of Computer Science, University of Sheffield, Sheffield S1 4DP, U.K. His current research interests include: • Integrating different smart wearable devices into a unified system for intelligently sensing daily human health information. • The design and development of IoT enabled healthcare system or applications for efficiently delivering specific health services. • Effectively and efficiently managing, analysing and exploring a sheer volume of long-term health data for supporting wise clinical decision-making.
JTEHM, Articles, Published ArticlesEffectively Measuring Respiratory Flow with Portable Pressure Data using Back Propagation Neural Network
Abstract Continuous respiratory monitoring is an important tool for clinical monitoring. The most widely used flow measure device is nasal cannulae connected to a pressure transducer. However, most of these devices are not easy to carry and continue working in uncontrolled... Read more
Posted on 5 FEB 2018
JTEHM, Articles, Published ArticlesCloud-Based Automated Clinical Decision Support System for Detection and Diagnosis of Lung Cancer in Chest CT
Anum Masood, Po Yang, Bin Sheng, Huating Li, Ping Li, Jing Qin, Vitaveska Lanfranchi, Jinman Kim, David Dagan Feng
Early Access Note: Early Access articles are new content made available in advance of the final electronic or print versions and result from IEEE’s Preprint or Rapid Post processes. Preprint articles are peer-reviewed but not fully edited. Rapid Post articles are... Read more
Posted on 13 DEC 2019