ECG Signal Processing, Classification and Interpretation: A Comprehensive Framework of Computational Intelligence

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9780857298676: ECG Signal Processing, Classification and Interpretation: A Comprehensive Framework of Computational Intelligence
From the Publisher:

This book shows how the various paradigms of computational intelligence, employed either singly or in combination, can produce an effective structure for obtaining often vital information from ECG signals. The text is self-contained, addressing concepts, methodology, algorithms, and case studies and applications, providing the reader with the necessary background augmented with step-by-step explanation of the more advanced concepts. It is structured in three parts: Part I covers the fundamental ideas of computational intelligence together with the relevant principles of data acquisition, morphology and use in diagnosis; Part II deals with techniques and models of computational intelligence that are suitable for signal processing; and, Part III details ECG system-diagnostic interpretation and knowledge acquisition architectures. Illustrative material includes: brief numerical experiments; and, detailed schemes, exercises and more advanced problems.

From the Back Cover:

Electrocardiogram (ECG) signals are among the most important sources of diagnostic information in healthcare so improvements in their analysis may also have telling consequences. Both the underlying signal technology and a burgeoning variety of algorithms and systems developments have proved successful targets for recent rapid advances in research.

ECG Signal Processing, Classification and Interpretation shows how the various paradigms of Computational Intelligence, employed either singly or in combination, can produce an effective structure for obtaining often vital information from ECG signals. Neural networks do well at capturing the nonlinear nature of the signals, information granules realized as fuzzy sets help to confer interpretability on the data and evolutionary optimization may be critical in supporting the structural development of ECG classifiers and models of ECG signals.

The contributors address concepts, methodology, algorithms, and case studies and applications exploiting the paradigm of Computational Intelligence as a conceptually appealing and practically sound technology for ECG signal processing. The text is self-contained, providing the reader with the necessary background augmented with step-by-step explanation of the more advanced concepts. It is structured in three parts:

·         Part I covers the fundamental ideas of computational intelligence together with the relevant principles of data acquisition, morphology and use in diagnosis;

·         Part II deals with techniques and models of computational intelligence that are suitable for  signal processing; and

·         Part III details ECG system-diagnostic interpretation and knowledge acquisition architectures.

A wealth of carefully organized illustrative material is included: brief numerical experiments; detailed schemes, and more advanced problems.

ECG Signal Processing, Classification and Interpretation will appeal to engineers working in the field of medical equipment and to researchers investigating biomedical signal processing, bioinformatics, Computational Intelligence and its applications, bioengineering and instrumentation. The three-part structure of the material also makes the book a useful reference source for graduate students in these disciplines.

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Editorial: Springer London Ltd, United Kingdom (2011)
ISBN 10: 0857298674 ISBN 13: 9780857298676
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Descripción Springer London Ltd, United Kingdom, 2011. Hardback. Estado de conservación: New. 2012 ed.. 240 x 158 mm. Language: English . Brand New Book. This book shows how the various paradigms of computational intelligence, employed either singly or in combination, can produce an effective structure for obtaining often vital information from ECG signals. The text is self-contained, addressing concepts, methodology, algorithms, and case studies and applications, providing the reader with the necessary background augmented with step-by-step explanation of the more advanced concepts. It is structured in three parts: Part I covers the fundamental ideas of computational intelligence together with the relevant principles of data acquisition, morphology and use in diagnosis; Part II deals with techniques and models of computational intelligence that are suitable for signal processing; and, Part III details ECG system-diagnostic interpretation and knowledge acquisition architectures. Illustrative material includes: brief numerical experiments; and, detailed schemes, exercises and more advanced problems. Nº de ref. de la librería LIB9780857298676

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Descripción Springer Verlag, 2011. Hardcover. Estado de conservación: Brand New. 1st edition. 278 pages. 9.00x6.25x0.50 inches. In Stock. Nº de ref. de la librería __0857298674

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Editorial: Springer London Ltd, United Kingdom (2011)
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Descripción Springer London Ltd, United Kingdom, 2011. Hardback. Estado de conservación: New. 2012 ed.. 240 x 158 mm. Language: English . Brand New Book. This book shows how the various paradigms of computational intelligence, employed either singly or in combination, can produce an effective structure for obtaining often vital information from ECG signals. The text is self-contained, addressing concepts, methodology, algorithms, and case studies and applications, providing the reader with the necessary background augmented with step-by-step explanation of the more advanced concepts. It is structured in three parts: Part I covers the fundamental ideas of computational intelligence together with the relevant principles of data acquisition, morphology and use in diagnosis; Part II deals with techniques and models of computational intelligence that are suitable for signal processing; and, Part III details ECG system-diagnostic interpretation and knowledge acquisition architectures. Illustrative material includes: brief numerical experiments; and, detailed schemes, exercises and more advanced problems. Nº de ref. de la librería LIB9780857298676

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Descripción Springer London Ltd 2011-09-16, England, 2011. hardback. Estado de conservación: New. Nº de ref. de la librería 9780857298676

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Descripción Springer, 2011. Hardback. Estado de conservación: NEW. 9780857298676 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Nº de ref. de la librería HTANDREE0286503

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Descripción Springer, 2011. Estado de conservación: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: The volume shows how the various paradigms of computational intelligence, employed individually or in combination, can produce an effective structure for obtaining often vital information from ECG signals. Nº de ref. de la librería ABE_book_new_0857298674

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Descripción Springer-Verlag Gmbh Okt 2011, 2011. Buch. Estado de conservación: Neu. 242x193x18 mm. Neuware - Electrocardiogram (ECG) signals are among the more important sources of diagnostic information in healthcare so improvements in their analysis may also have telling consequences. Both the underlying signal technology and a burgeoning variety of algorithms and systems developments have proved successful targets for recent rapid advances in research. ECG Signal Processing, Classification and Interpretation shows how the various paradigms of computational intelligence, employed either singly or in combination, can produce an effective structure for obtaining often vital information from ECG signals. Neural networks do well at capturing the nonlinear nature of the signals, information granules such as fuzzy sets help to confer interpretability on the data and evolutionary optimization may be critical in supporting the structural development of ECG classifiers and models. The contributors address concepts, methodology, algorithms, and case studies and applications using computational intelligence as a conceptually appealing and practically sound technology for ECG signal processing. The text is self-contained, providing the reader with the necessary background augmented with step-by-step explanation of the more advanced concepts. It is structured in three parts: Part I covers the fundamental ideas of computational intelligence together with the relevant principles of data acquisition, morphology and use in diagnosis; Part II deals with techniques and models of computational intelligence that are suitable for signal processing; and Part III details ECG system-diagnostic interpretation and knowledge acquisition architectures. A wealth of carefully organized illustrative material is included: brief numerical experiments; detailed schemes, exercises and more advanced problems. ECG Signal Processing, Classification and Interpretation will appeal to engineers working in the field of medical equipment and to researchers investigating biomedical signal processing, bioinformatics, computational intelligence and its applications, bioengineering and instrumentation. The three-part structure also makes the book a useful reference source for graduate students in these disciplines. 278 pp. Englisch. Nº de ref. de la librería 9780857298676

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Descripción Springer-Verlag Gmbh Okt 2011, 2011. Buch. Estado de conservación: Neu. 242x193x18 mm. Neuware - Electrocardiogram (ECG) signals are among the more important sources of diagnostic information in healthcare so improvements in their analysis may also have telling consequences. Both the underlying signal technology and a burgeoning variety of algorithms and systems developments have proved successful targets for recent rapid advances in research. ECG Signal Processing, Classification and Interpretation shows how the various paradigms of computational intelligence, employed either singly or in combination, can produce an effective structure for obtaining often vital information from ECG signals. Neural networks do well at capturing the nonlinear nature of the signals, information granules such as fuzzy sets help to confer interpretability on the data and evolutionary optimization may be critical in supporting the structural development of ECG classifiers and models. The contributors address concepts, methodology, algorithms, and case studies and applications using computational intelligence as a conceptually appealing and practically sound technology for ECG signal processing. The text is self-contained, providing the reader with the necessary background augmented with step-by-step explanation of the more advanced concepts. It is structured in three parts: Part I covers the fundamental ideas of computational intelligence together with the relevant principles of data acquisition, morphology and use in diagnosis; Part II deals with techniques and models of computational intelligence that are suitable for signal processing; and Part III details ECG system-diagnostic interpretation and knowledge acquisition architectures. A wealth of carefully organized illustrative material is included: brief numerical experiments; detailed schemes, exercises and more advanced problems. ECG Signal Processing, Classification and Interpretation will appeal to engineers working in the field of medical equipment and to researchers investigating biomedical signal processing, bioinformatics, computational intelligence and its applications, bioengineering and instrumentation. The three-part structure also makes the book a useful reference source for graduate students in these disciplines. 278 pp. Englisch. Nº de ref. de la librería 9780857298676

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