Biomedical Information Technology, (Biomedical Engineering) - Hardcover

David Dagan Feng

Hardcover

ISBN 10: 0123735831 ISBN 13: 9780123735836

Publisher: Academic Press, 2007

Synopsis

The enormous growth in the field of biotechnology necessitates the utilization of information technology for the management, flow and organization of data. The field continues to evolve with the development of new applications to fit the needs of the biomedicine. From molecular imaging to healthcare knowledge management, the storage, access and analysis of data contributes significantly to biomedical research and practice.

All biomedical professionals can benefit from a greater understanding of how data can be efficiently managed and utilized through data compression, modelling, processing, registration, visualization, communication, and large-scale biological computing. In addition Biomedical Information Technology contains practical integrated clinical applications for disease detection, diagnosis, surgery, therapy, and biomedical knowledge discovery, including the latest advances in the field, such as ubiquitous M-Health systems and molecular imaging applications.

• The world's most recognized authorities give their "best practices" ready for implementation
• Provides professionals with the most up to date and mission critical tools to evaluate the latest advances in the field and current integrated clinical applications
• Gives new staff the technological fundamentals and updates experienced professionals with the latest practical integrated clinical applications

About this title

Review:

The only resource to provide a systematic overview and comprehensive guide to enabling information technologies in biomedicine.

About the Author:

Dr. David Feng received his M.E. in Electrical Engineering & Computer Science (EECS) from Shanghai Jiao Tong University in 1982, M.Sc. in Biocybernetics and Ph.D. in Computer Science from the University of California, Los Angeles (UCLA) in 1985 and 1988, respectively. After briefly working as an Assistant Professor at the University of California, Riverside, he joined the University of Sydney at the end of 1988 as a Lecturer, Senior Lecturer, Reader, Professor, Head of Department of Computer Science, and the Head of School of Information Technologies. He is currently an Associate Dean (International IT) of Faculty of Science at the University of Sydney; Honorary Research Consultant, Royal Prince Alfred Hospital, the largest hospital in Australia; Chair-Professor of Information Technology, Hong Kong Polytechnic University; Advisory Professor and Chief Scientist of Med-X, Shanghai Jiao Tong University; Guest Professor, Northwestern Polytechnic University, Northwestern University and Tsinghua University. His research area is Biomedical and Multimedia Information Technology (BMIT). He is the Founder of Director of the BMIT Research Group. He has published over 400 scholarly research papers, pioneered several new research directions, made a number of landmark contributions in his field with significant scientific impact and social benefit, and received the Crump Prize for Excellence in Medical Engineering. More importantly, however, is that many of his research results have been translated into solutions for real-life problems and have made tremendous improvements to the quality of life for those involved. He is a Fellow of the Australian Academy of Technological Sciences and Engineering, ACS, HKIE, IEE, and IEEE. Dr. Feng is a Special Area Editor of IEEE Transactions on Information Technology in Biomedicine, Editorial Board Advisor or member for The Visual Computer (International Journal of Computer Graphics), Biomedical Signal Processing and Control, Control Engineering Practice, Computer Methods and Programs in Biomedicine, The International Journal of Image and Graphics (IJIG), and is the current Chairman of IFAC-TC-BIOMED.

About this edition

• Publisher: Academic Press
• Publication date: 2007
• ISBN 10: 0123735831
• ISBN 13: 9780123735836
• Binding: Hardcover
• Number of pages: 250
• Editor: David Dagan Feng