Advanced Medical Biometrics: 2 (Advances In Pattern Analysis And Intelligent Sensing)

In brief, this book provides the advanced sensing technologies including multi-sensor collaborative sensing for pulse signal acquisition, sensor array design for breath odor perception, and voice signal acquisition. Besides, this book summarizes the advances about pulse feature extraction with improved Gabor function, odor feature extraction based on de-convolution methods. This book also presents the latest recognition methods including evolutionary ensemble model to handle the imbalance problem, multi-feature complementary methods for face image, tongue images, and pulse analysis. Multi-modal hybrid fusion and self-adaptive score fusion for disease classification are proposed and proved effective for medical biometrics.

Medical biometrics achieves disease detection and health monitor by sensing and recognizing multi-modal body surface information. It is believed that body surface information, e.g., face, tongue, breath odor, voice, and wrist pulse, is one of the most important biometric features that contains rich pathological information and can be used for health assessments or disease detection. Focusing on the latest progresses in medical biometrics, this book systematically presents advanced signal acquisition techniques, feature extraction methods, and recognition algorithms.

Both researchers and engineers in pattern recognition and medical diagnosis will benefit from this book as it offers comprehensive understanding of the advanced signal acquisition techniques, related feature extraction methods, and state-of-the-art analysis methods.

David Zhang (Life Fellow, IEEE) graduated from Peking University, Beijing, China, in 1974 and received his MS and first PhD degrees in computer science from the Harbin Institute of Technology, Harbin, China, in 1982 and 1985, respectively. He also got his second PhD degree in electrical and computer engineering from the University of Waterloo, Canada, in 1994. From 1986 to 1988, he was a Postdoctoral Fellow at Tsinghua University, Beijing, and then an Associate Professor at the Institute of Automation, Chinese Academy of Sciences, Beijing. He has been a Chair Professor at the Hong Kong Polytechnic University, Hong Kong, where he is the Founding Director of the Biometrics Research Centre (UGC/CRC) supported by the Hong Kong SAR Government since 1998. He is currently a Distinguished Presidential Chair Professor at the Chinese University of Hong Kong, Shenzhen, China. Over the past 40 years, he has been working on pattern recognition, image processing, and biometrics, where many research results have been awarded and some created directions, including medical biometrics and computerized TCM, all of which are famous in the world. He has published 30+ monographs, 600+ international journal papers, and 70+ patents from the USA, Japan and China. For eight years, he has been continuously listed as a Global Highly Cited Researcher in Engineering by Clarivate Analytics. He is also ranked 70th with H-Index 133 at Top 1,000 Scientists for International Computer Science in 2024. Prof. Zhang has been selected as a Fellow of both Royal Society of Canada (RSC) and Canadian Academy of Engineering (CAE). He is also a Croucher Senior Research Fellow, a Distinguished Speaker of the IEEE Computer Society, and an IAPR and AAIA Fellow.

Chaoxun Guo received the BS degree in Manufacturing and automation engineering from the Xuchang University, Xuchang, China, in 2015 and the MS degree in Mechanical design and theory from China University of Mining and Technology, Xuzhou, China, in 2018. He is currently pursuing the PhD degree in the School of Science and Engineering in the Chinese University of Hong Kong (Shenzhen), Shenzhen, China. His current research interests include pattern recognition, medical biometrics, pulse signal analysis, and image fusion. He serves as the reviewer of several top journals such as Information Fusion, IEEE Transactions on Image Processing.

Bob Zhang (Senior Member, IEEE) received the Ph.D. degree in electrical and computer engineering from the University of Waterloo, Waterloo, ON, Canada, in 2011. After graduating from the University of Waterloo, he remained with the Center for Pattern Recognition and Machine Intelligence, and later he was a Postdoctoral Researcher with the Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA. He is currently an Associate Professor with the Department of Computer and Information Science, University of Macau, Macau. His research interests include biometrics, pattern recognition, and image processing. He is a Technical Committee Member of the IEEE Systems, Man, and Cybernetics Society and Associate Editors of IEEE Transactions on Image Processing, vIEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Neural Networks and Learning Systems, and Artificial Intelligence Review.