Neural Networks in Healthcare: Potential and ChallengesRelease Date: January, 2006. Copyright © 2006. 332 pages.
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DOI: 10.4018/978-1-59140-848-2, ISBN13: 9781591408482, ISBN10: 1591408482, EISBN13: 9781591408505 Cite Book
MLA
Begg, Rezaul , Joarder Kamruzzaman and Ruhul Sarker . "Neural Networks in Healthcare: Potential and Challenges." IGI Global, 2006. 1-332. Web. 21 May. 2012. doi:10.4018/978-1-59140-848-2
APA
Begg, R., Kamruzzaman , J., & Sarker , R. (2006). Neural Networks in Healthcare: Potential and Challenges (pp. 1-332). doi:10.4018/978-1-59140-848-2
Chicago
Begg, Rezaul , Joarder Kamruzzaman and Ruhul Sarker . "Neural Networks in Healthcare: Potential and Challenges." 1-332 (2006), accessed May 21, 2012. doi:10.4018/978-1-59140-848-2
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 Favorite | | TopDescriptionHealthcare costs around the globe are on the rise, creating a strong need for new ways of assisting the requirements of the healthcare system. Besides applications in other areas, neural networks have naturally found many promising applications in the health and medicine areas. Neural Networks in Healthcare: Potential and Challenges presents interesting and innovative developments from leading experts and scientists working in health, biomedicine, biomedical engineering, and computing areas. This book covers many important and state-of-the-art applications in the areas of medicine and healthcare, including: cardiology, electromyography, electroencephalography, gait and human movement, therapeutic drug monitoring for patient care, sleep apnea, and computational fluid dynamics areas. Neural Networks in Healthcare: Potential and Challenges is a useful source of information for researchers, professionals, lecturers, and students from a wide range of disciplines. Readers of this book will be able to use the ideas for further research efforts in this very important and highly multidisciplinary area. TopTable of Contents and List of Contributors|
1.
| Overview of Artificial Neural Networks and their Applications in Healthcare
(pages 1-19)
Joarder Kamruzzaman (Monash University, Australia), Rezaul Begg (Victoria University, Australia), Ruhul Sarker (University of New South Wales, Australia)
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2.
| A Survey on Various Applications of Artificial Neural Networks in Selected Fields of Healthcare
(pages 20-59)
Wolfgang I. Schollhorn (Westfalische Wilhelms-Universitat Munster, Germany), Jörg M. Jager (Westfalische Wilhelms-Universitat Munster, Germany)
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3.
| The Role of Neural Networks in Computerized Classification of the Electrocardiogram
(pages 60-80)
Chris D. Nugent (University of Ulster at Jordanstown, North Ireland), Dewar D. Finlay (University of Ulster at Jordanstown, North Ireland), Mark P. Donnelly (University of Ulster at Jordanstown, North Ireland), Norman D. Black (University of Ulster at Jordanstown, North Ireland)
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4.
| Neural Networks in ECG Classification: What is Next for Adaptive Systems?
(pages 81-104)
G. Camps-Valls (Universitat de Valencia, Spain), J. F. Guerrero-Martinez (Universitat de Valencia, Spain)
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5.
| A Concept Learning-Based Patient-Adaptable Abnormal ECG Beat Detector for Long-Term Monitoring of Heart Patients
(pages 105-129)
Peng Li (Nanyang Technological University, Singapore), Kap L. Chan (Nanyang Technological University, Singapore), Sheng Fu (Nanyang Technological University, Singapore), Shankar M. Krishnan (Nanyang Technological University, Singapore)
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6.
| A Recurrent Probabilistic Neural Network for EMG Pattern Recognition
(pages 130-153)
Toshio Tsuji (Hiroshima University, Japan), Nan Bu (Hiroshima University, Japan), Osamu Fukuda (National Institute of Advanced Industrial Science and Technology, Japan)
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7.
| Myoelectric Teleoperation of a Dual-Arm Manipulator Using Neural Networks
(pages 154-176)
Toshio Tsuji (Hiroshima University, Japan), Kouji Tsujimura (OMRON Corporation, Japan), Yoshiyuki Tanaka (Hiroshima University, Japan)
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8.
| Artificial Neural Networks in EEG Analysis
(pages 177-194)
Markad V. Kamath (McMaster University, Canada), Adrian R. Upton (McMaster University, Canada), Jie Wu (McMaster University, Canada), Harjeet S. Bajaj (McMaster University, Canada), Skip Poehlman (McMaster University, Canada), Robert Spaziani (McMaster University, Canada)
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9.
| The Use of Artificial Neural Networks for Objective Determination of Hearing Threshold Using the Auditory Brainstem Response
(pages 195-216)
Robert T. Davey (City University, London, UK), Paul J. McCullagh (Univeresity of Ulster, Northern Ireleand), H. Gerry McAllister (Univeresity of Ulster, Northern Ireleand), H. Glen Houston (Royal Victoria Hospital, Northern Ireland)
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10.
| Movement Pattern Recognition Using Neural Networks
(pages 217-237)
Rezaul Begg (Victoria University, Australia), Joarder Kamruzzaman (Monash University, Australia, University of New South Wales, Australia)
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11.
| Neural and Kernal Methods for Therapeutic Drug Monitoring
(pages 238-261)
G. Camps-Valls (Universitat de Valencia, Spain), J. D. Martin-Guerrero (Universitat de Valencia, Spain)
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12.
| Computational Fluid Dynamics and Neural Network for Modeling and Simulations of Medical Devices
(pages 262-283)
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13.
| Analysis of Temporal Patterns of Physiological Parameters
(pages 284-316)
Balázs Benyo (Szechnyi Istvan University and Budapest University of Technology and Economics, Hungary)
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TopAuthor(s)/Editor(s) BiographyRezaul Begg Dr. Rezaul Begg received the B.Sc. and M.Sc. Eng degrees in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh and the Ph.D. degree in Biomedical Engineering from the University of Aberdeen, U.K. Currently he is a Faculty member at Victoria University, Melbourne, Australia. Previously, he worked with Deakin University and BUET. He researches in Biomedical Engineering, Biomechanics and Machine Learning areas and has published over 100 research papers in these areas. He is a regular reviewer for several international journals and was on the TPC for a number of major international conferences. He received several awards, including the BUET Gold medal and the Chancellor prize for academic excellence. Joarder Kamruzzaman Joarder Kamruzzaman received B.Sc and M.Sc. in electrical engineering from Bangladesh University of Engineering & Technology, Dhaka, Bangladesh in 1986 & 1989 respectively and a PhD in Information System Engineering from Muroran Institute of technology, Japan in 1993. Currently he is a faculty member in the Faculty of Information Technology, Monash University, Australia. His research interest includes computational intelligence, computer networks and bioinformatics etc. He has published more than 70 refereed papers in international journals and conference proceedings. He is currently serving as a program committee member of a number of international conferences. Ruhul Sarker Ruhul Sarker received his Ph.D. in 1991 from DalTech, Dalhousie University, Halifax, Canada and is currently a Senior Lecturer in Operations Research at the School of Computer Science, University of New South Wales, ADFA Campus, Canberra, Australia. Before joining at UNSW in February 1998, Dr Sarker worked with Monash University, Victoria and the Bangladesh University of Engineering and Technology, Dhaka. His main research interests are Evolutionary Optimization, Data Mining and Applied Operations Research. He is currently involved with four edited books either as editor or co-editor and has published more than 60 refereed papers in international journals and conference proceedings. He is also the editor of ASOR Bulletin, the national publication of the Australian Society for Operations Research. TopReviews and TestimonialsNeural Networks in Health Care is an important book in the development of intelligent systems in the Health-Engineering field. This book has a valuable collection of chapters written by specialists in the field, which provide great support for novice and researchers in the Health Care area. This book specifically covers several case studies in the field which create scientific dialogue between designers and researchers based on practical cases. - Aladin Zayegh, Head, School of Electrical Engineering, Victoria University, Australia |
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