Nonlinear biomedical signal processing: Volume 1. Fuzzy logic, neural networks, and new algorithms

Medientyp: E-Book

Titel: Nonlinear biomedical signal processing : Volume 1. Fuzzy logic, neural networks, and new algorithms

Enthält: Front MatterUncertainty Management in Medical Applications / Bernadette Bouchon-Meunier -- Applications of Fuzzy Clustering to Biomedical Signal Processing and Dynamic System Identification / Amir B Geva -- Neural Networks: A Guided Tour / Simon Haykin -- Neural Networks in Processing and Analysis of Biomedical Signals / Homayoun Nazeran, Khosrow Behbehani -- Rare Event Detection in Genomic Sequences by Neural Networks and Sample Stratification / Wooyoung Choe, Okan K Ersoy, Minou Bina -- An Axiomatic Approach to Reformulating Radial Basis Neural Networks / Nicolaos B Karayiannis -- Soft Learning Vector Quantization and Clustering Algorithms Based on Reformulation / Nicolaos B Karayiannis -- Metastable Associative Network Models of Neuronal Dynamics Transition During Sleep / Mitsuyuki Nakao, Mitsuaki Yamamoto -- Artificial Neural Networks for Spectroscopic Signal Measurement / Chii-Wann Lin, Tzu-Chien Hsiao, Mang-Ting Zeng, Hui-Hua Kenny Chiang -- Applications of Feed-Forward Neural Networks in the Electrogastrogram / Zhiyue Lin, J D Z Chen -- Index -- About the Editor -- Color Plate -- .

Beteiligte: Akay, Metin [Sonstige Person, Familie und Körperschaft]

Körperschaft: IEEE Engineering in Medicine and Biology Society

Erschienen: New York: IEEE Press, 2000-
Online-Ausg., Piscataway, N.J: IEEE, 2010

Umfang: Online Ressource (276 p.); ill. (some col.)

Sprache: Englisch

ISBN: 9780470545362; 0470545364

RVK-Notation: ST 640 : Medizin

Schlagwörter: Signal processing ; Biomedical engineering ; Fuzzy logic ; Neural networks (Computer science) ; Signal Processing, Computer-Assisted ; Algorithms ; Biomedical Engineering ; Fuzzy Logic ; Models, Biological ; Neural Networks (Computer)

Art der Reproduktion: Online-Ausg.

Hersteller der Reproduktion: Piscataway, N.J: IEEE, 2010

Reproduktionsnotiz: Electronic reproduction; Mode of access: World Wide Web

Entstehung:

Anmerkungen: "IEEE Engineering in medicine and biology society, sponsor. - Includes bibliographical references and index. - Description based on print version record
Includes bibliographical references and index

Beschreibung: Publisher description: Biomedical / Electrical Engineering Nonlinear Biomedical Signal Processing Volume I: Fuzzy Logic, Neural Networks, and New Algorithms A volume in the IEEE Press Series on Biomedical Engineering Metin Akay, Series Editor 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 Nonlinear Biomedical Signal Processing, Volume I is a valuable reference tool for medical researchers, medical faculty and advanced graduate student, s as well as for practicing biomedical engineers. Nonlinear Biomedical Signal Processing, Volume I is an excellent companion to Nonlinear Biomedical Signal Processing, Volume II: Dynamic Analysis and Modeling

Publisher description: Biomedical / Electrical Engineering Nonlinear Biomedical Signal Processing Volume I: Fuzzy Logic, Neural Networks, and New Algorithms A volume in the IEEE Press Series on Biomedical Engineering Metin Akay, Series Editor 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 Nonlinear Biomedical Signal Processing, Volume I is a valuable reference tool for medical researchers, medical faculty and advanced graduate student, s as well as for practicing biomedical engineers. Nonlinear Biomedical Signal Processing, Volume I is an excellent companion to Nonlinear Biomedical Signal Processing, Volume II: Dynamic Analysis and Modeling

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