ISBN-10:
0780360117
ISBN-13:
9780780360112
Pub. Date:
08/28/2000
Publisher:
Wiley
Nonlinear Biomedical Signal Processing, Volume 1: Fuzzy Logic, Neural Networks, and New Algorithms / Edition 1

Nonlinear Biomedical Signal Processing, Volume 1: Fuzzy Logic, Neural Networks, and New Algorithms / Edition 1

by Metin Akay

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Product Details

ISBN-13: 9780780360112
Publisher: Wiley
Publication date: 08/28/2000
Series: IEEE Press Series on Biomedical Engineering Series , #5
Pages: 276
Product dimensions: 7.22(w) x 10.09(h) x 0.79(d)

About the Author

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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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.

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