Neural Networks in Healthcare: Potential and Challenges

Neural Networks in Healthcare: Potential and Challenges

Rezaul Begg (Victoria University, Australia), Joarder Kamruzzaman (Monash University, Australia) and Ruhul Sarker (University of New South Wales, Australia)
Release Date: January, 2006|Copyright: © 2006 |Pages: 332
ISBN13: 9781591408482|ISBN10: 1591408482|EISBN13: 9781591408505|DOI: 10.4018/978-1-59140-848-2


Healthcare 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.

Reviews 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

Table of Contents and List of Contributors

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Table of Contents
Rezaul Begg, Joarder Kamruzzaman, Ruhul Sarker
Rezaul Begg, Joarder Kamruzzaman, Ruhul Sarker
Chapter 1
Joarder Kamruzzaman, Rezaul Begg, Ruhul Sarker
Artificial neural network (ANN) is one of the main constituents of the artificial intelligence techniques. Like in many other areas, ANN has made a... Sample PDF
Overview of Artificial Neural Networks and their Applications in Healthcare
Chapter 2
Wolfgang I. Schollhorn, Jörg M. Jager
This chapter gives an overview of artificial neural networks as instruments for processing miscellaneous biomedical signals. A variety of... Sample PDF
A Survey on Various Applications of Artificial Neural Networks in Selected Fields of Healthcare
Chapter 3
Chris D. Nugent, Dewar D. Finlay, Mark P. Donnelly, Norman D. Black
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... Sample PDF
The Role of Neural Networks in Computerized Classification of the Electrocardiogram
Chapter 4
G. Camps-Valls, J. F. Guerrero-Martinez
In this chapter, we review the vast field of application of artificial neural networks in cardiac pathology discrimination based on... Sample PDF
Neural Networks in ECG Classification: What is Next for Adaptive Systems?
Chapter 5
Peng Li, Kap L. Chan, Sheng Fu, Shankar M. Krishnan
n this chapter, a new concept learning-based approach is presented for abnormal ECG beat detection to facilitate long-term monitoring of heart... Sample PDF
A Concept Learning-Based Patient-Adaptable Abnormal ECG Beat Detector for Long-Term Monitoring of Heart Patients
Chapter 6
Toshio Tsuji, Nan Bu, Osamu Fukuda
In the field of pattern recognition, probabilistic neural networks (PNNs) have been proven as an important classifier. For pattern recognition of... Sample PDF
A Recurrent Probabilistic Neural Network for EMG Pattern Recognition
Chapter 7
Toshio Tsuji, Kouji Tsujimura, Yoshiyuki Tanaka
In this chapter, an advanced intelligent dual-arm manipulator system teleoperated by EMG signals and hand positions is described. This myoelectric... Sample PDF
Myoelectric Teleoperation of a Dual-Arm Manipulator Using Neural Networks
Chapter 8
Markad V. Kamath, Adrian R. Upton, Jie Wu, Harjeet S. Bajaj, Skip Poehlman, Robert Spaziani
The artificial neural networks (ANNs) are regularly employed in EEG signal processing because of their effectiveness as pattern classifiers. In this... Sample PDF
Artificial Neural Networks in EEG Analysis
Chapter 9
Robert T. Davey, Paul J. McCullagh, H. Gerry McAllister, H. Glen Houston
We have analyzed high and low level auditory brainstem response data (550 waveforms over a large age range; 126 were repeated sessions used in... Sample PDF
The Use of Artificial Neural Networks for Objective Determination of Hearing Threshold Using the Auditory Brainstem Response
Chapter 10
Rezaul Begg, Joarder Kamruzzaman
This chapter provides an overview of artificial neural network applications for the detection and classification of various gaits based on their... Sample PDF
Movement Pattern Recognition Using Neural Networks
Chapter 11
G. Camps-Valls, J. D. Martin-Guerrero
Recently, important advances in dosage formulations, therapeutic drug monitoring (TDM), and the emerging role of combined therapies have resulted in... Sample PDF
Neural and Kernal Methods for Therapeutic Drug Monitoring
Chapter 12
Yos S. Morsi, Subrat Das
This chapter describes the utilization of computational fluid dynamics (CFD) with neural network (NN) for analysis of medical devices. First, the... Sample PDF
Computational Fluid Dynamics and Neural Network for Modeling and Simulations of Medical Devices
Chapter 13
Balázs Benyo
This chapter deals with the analysis of spontaneous changes occurring in two physiological parameters: the cerebral blood flow and respiration.... Sample PDF
Analysis of Temporal Patterns of Physiological Parameters
About the Authors

Author(s)/Editor(s) Biography

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 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.