Nonlinear Biomedical Signal Processing, Volume 1: Fuzzy Logic, Neural Networks, and New AlgorithmsISBN: 978-0-7803-6011-2
276 pages
July 2000, Wiley-IEEE Press
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Description
For the first time, eleven experts in the fields of signal
processing and biomedical engineering have contributed to an
edition on the newest theories and applications of fuzzy logic,
neural networks, and algorithms in biomedicine. Nonlinear
Biomedical Signal Processing, Volume I provides comprehensive
coverage of nonlinear signal processing techniques. In the last
decade, theoretical developments in the concept of fuzzy logic have
led to several new approaches to neural networks. This compilation
delivers plenty of real-world examples for a variety of
implementations and applications of nonlinear signal processing
technologies to biomedical problems. Included here are discussions
that combine the various structures of Kohenen, Hopfield, and
multiple-layer "designer" networks with other approaches to produce
hybrid systems. Comparative analysis is made of methods of genetic,
back-propagation, Bayesian, and other learning algorithms.
Topics covered include:
- Uncertainty management
- Analysis of biomedical signals
- A guided tour of neural networks
- Application of algorithms to EEG and heart rate variability signals
- Event detection and sample stratification in genomic sequences
- Applications of multivariate analysis methods to measure glucose concentration
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Table of Contents
Preface.
List of Contributors.
Uncertainty Management in Medical Applications (B. Bouchon-Meunier).
Applications of Fuzzy Clustering to Biomedical Signal Processing and Dynamic System (A. Geva).
Neural Networks: A Guided Tour (S. Haykin).
Neural Networks in Processing and Analysis of Biomedical Signals (H. Nazeran & K. Behbehani).
Rare Event Detection in Genomic Sequences by Neural Networks and Sample Stratification (W. Choe, et al.).
An Axiomatic Approach to Reformulating Radial Basis Neural Networks (N. Karayiannis).
Soft Learning Vector Quantization and Clustering Algorithms Based on Reformulation (N. Karayiannis).
Metastable Associative Network Models of Neuronal Dynamics Transition During Sleep (M. Nakao & M. Yamamoto).
Artificial Neural Networks for Spectroscopic Signal Measurement (C.-W. Lin, et al.).
Applications of Feed-Forward Neural Networks in the Electrogastrogram (Z. Lin & J. Chen).
Index.
About the Editor.
List of Contributors.
Uncertainty Management in Medical Applications (B. Bouchon-Meunier).
Applications of Fuzzy Clustering to Biomedical Signal Processing and Dynamic System (A. Geva).
Neural Networks: A Guided Tour (S. Haykin).
Neural Networks in Processing and Analysis of Biomedical Signals (H. Nazeran & K. Behbehani).
Rare Event Detection in Genomic Sequences by Neural Networks and Sample Stratification (W. Choe, et al.).
An Axiomatic Approach to Reformulating Radial Basis Neural Networks (N. Karayiannis).
Soft Learning Vector Quantization and Clustering Algorithms Based on Reformulation (N. Karayiannis).
Metastable Associative Network Models of Neuronal Dynamics Transition During Sleep (M. Nakao & M. Yamamoto).
Artificial Neural Networks for Spectroscopic Signal Measurement (C.-W. Lin, et al.).
Applications of Feed-Forward Neural Networks in the Electrogastrogram (Z. Lin & J. Chen).
Index.
About the Editor.
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Author Information
About the Editor Metin Akay is currently an assistant professor at Dartmouth College. A noted speaker, editor, and author, Dr. Akay has spent several years conducting research in the areas of fuzzy neural networks and signal processing, wavelet transform, and detection and estimation theory. His biomedical research areas include the autonomic nervous system, maturation, respiratory-related evoked response, noninvasive detection of coronary artery disease, and estimation of cardiac output. Dr. Akay is the founding series editor of the IEEE Press Series on Biomedical Engineering. In 1997 he received the prestigious Early Career Achievement Award from the IEEE Engineering in Medicine and Biology Society (EMBS). He is the program chair of both the annual IEEE EMBS Conference and Summer School for 2001. Dr. Akay has published several papers in the field and authored or coauthored eleven books, including Time Frequency and Wavelets in Biomedical Signal Processing (IEEE Press, 1998) and Nonlinear Biomedical Signal Processing, Volume II: Dynamic Analysis and Modeling (IEEE Press, 2000). He holds two U.S. patents.
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