Neural Networks in Healthcare: Potential and ChallengesRelease Date: January, 2006. Copyright © 2006. 332 pages.
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In Stock. Have it as soon as Jun. 24 with express shipping*. 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. 19 Jun. 2013. 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 June 19, 2013. doi:10.4018/978-1-59140-848-2
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  | | 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
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Joarder Kamruzzaman (Monash University, Australia), Rezaul Begg (Victoria University, Australia), Ruhul Sarker (University of New South Wales, Australia)
Artificial neural network (ANN) is one of the main constituents of the artificial intelligence techniques. Like in many other areas, ANN has made a significant mark...
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Wolfgang I. Schollhorn (Westfalische Wilhelms-Universitat Munster, Germany), Jörg M. Jager (Westfalische Wilhelms-Universitat Munster, Germany)
This chapter gives an overview of artificial neural networks as instruments for processing miscellaneous biomedical signals. A variety of applications are illustrate...
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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)
Electrical forces generated by the heart are transmitted to the skin through the body’s tissues. These forces can be recorded on the body’s surface and are represent...
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G. Camps-Valls (Universitat de Valencia, Spain), J. F. Guerrero-Martinez (Universitat de Valencia, Spain)
In this chapter, we review the vast field of application of artificial neural networks in cardiac pathology discrimination based on electrocardiographic signals. We...
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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)
n this chapter, a new concept learning-based approach is presented for abnormal ECG beat detection to facilitate long-term monitoring of heart patients. The novelty...
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Toshio Tsuji (Hiroshima University, Japan), Nan Bu (Hiroshima University, Japan), Osamu Fukuda (National Institute of Advanced Industrial Science and Technology, Japan)
In the field of pattern recognition, probabilistic neural networks (PNNs) have been proven as an important classifier. For pattern recognition of EMG signals, the ch...
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Toshio Tsuji (Hiroshima University, Japan), Kouji Tsujimura (OMRON Corporation, Japan), Yoshiyuki Tanaka (Hiroshima University, Japan)
In this chapter, an advanced intelligent dual-arm manipulator system teleoperated by EMG signals and hand positions is described. This myoelectric teleoperation syst...
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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)
The artificial neural networks (ANNs) are regularly employed in EEG signal processing because of their effectiveness as pattern classifiers. In this chapter, four sp...
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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)
We have analyzed high and low level auditory brainstem response data (550 waveforms over a large age range; 126 were repeated sessions used in correlation analysis),...
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Rezaul Begg (Victoria University, Australia), Joarder Kamruzzaman (Monash University, Australia, University of New South Wales, Australia)
This chapter provides an overview of artificial neural network applications for the detection and classification of various gaits based on their typical characterist...
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G. Camps-Valls (Universitat de Valencia, Spain), J. D. Martin-Guerrero (Universitat de Valencia, Spain)
Recently, important advances in dosage formulations, therapeutic drug monitoring (TDM), and the emerging role of combined therapies have resulted in a substantial im...
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Yos S. Morsi (Swinburne University, Australia), Subrat Das (Swinburne University, Australia)
This chapter describes the utilization of computational fluid dynamics (CFD) with neural network (NN) for analysis of medical devices. First, the concept of mathemat...
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Balázs Benyo (Szechnyi Istvan University and Budapest University of Technology and Economics, Hungary)
This chapter deals with the analysis of spontaneous changes occurring in two physiological parameters: the cerebral blood flow and respiration. Oscillation of the ce...
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TopReviews and Testimonials
Neural 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
TopAuthor(s)/Editor(s) BiographyDr. 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 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 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. |
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