Centre for Research in Advanced Network Technologies (CRANT) Seminar on 16th December 2019, with the details as follow:
| Title: | Novel AI Techniques for Wearable Non-Invasive Blood Glucose Estimation |
| Speaker: | Prof. Wing-Kuen Ling, Guangdong University of Technology FIET, SMIEEE University Hundred-People-Plan Distinguished Professor China National Young Thousand-People-Plan Distinguished Professor Guangdong Province Pearl Scholar |
| Date: | 16th December 2019 (Monday) |
| Time: | 11:30 a.m. – 12:30 p.m. |
| Venue | C0818, 8/F, Block C, Main Campus, The Open University of Hong Kong |
Abstract:
Wearable devices can perform continuous mode signal acquisition. The signals can be acquired any time. On the other hand, non-invasive blood glucose estimation can help prevent wound-induced infections and complications. This is particularly important for patients who suffer from platelet diseases. As consumables are no longer required to perform blood glucose estimation, the new method can reduce cost tremendously. However, as skin color and thickness differ from person to person, the estimation accuracy is very low. This talk will present a novel AI method for improving the estimation accuracy in wearable non-invasive blood glucose estimation. To perform classification effectively, the novel method makes use of nonlinear adaptive time frequency analysis for feature extraction and a modified perceptron.
Speaker’s Biography:
Prof. Wing-Kuen Ling received the B.Eng. (Hons) and M.Phil. degrees from the department of Electronic and Computer Engineering, the Hong Kong University of Science and Technology, in 1997 and 2000, respectively, and the Ph.D. degree in the department of Electronic and Information Engineering from the Hong Kong Polytechnic University in 2003. In 2004, he joined the King’s College London as a Lecturer. In 2010, he joined the University of Lincoln as a Principal Lecturer and promoted to a Reader in 2011. In 2012, he joined the Guangdong University of Technology as a Full Professor. He is a Fellow of the IET, a senior member of the IEEE, a China National Young Thousand-People-Plan Distinguished Professor, the Guangdong Province Pearl Scholar and the University Hundred-People-Plan Distinguished Professor.
His research includes time frequency analysis, optimization theory and applications, nonlinear digital signal processing systems and control systems. He has published an undergraduate textbook, a research monograph, five book chapters, 115 internationally leading journal papers (including 98 SCI journal papers) and 117 highly rated international conference papers. He also got 24 patents.