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ECG Signal Processing, Classification and Interpretation

A Comprehensive Framework of Computational Intelligence

  • Book
  • © 2012

Overview

Editors:
  1. Adam Gacek

    1. Institute of Medical Technology and Equi, Zabrze, Poland

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    You can also search for this editor in PubMed   Google Scholar

  2. Witold Pedrycz

    1. Dept. Electrical & Computer Engineering, University of Alberta, Edmonton, Canada

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    You can also search for this editor in PubMed   Google Scholar

  • Shows the research how to combine various computational intelligence techniques to obtain more information from biological signals

  • Meshing of material from engineering and clinical sources ensures comprehensive and appropriately balanced coverage

  • Application of the ideas in this book will allow instrumentation engineers to help clinicians to improve diagnosis based on electrocardiogramatic results

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-x
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  2. An Introduction to ECG Interpretation

    • Jarosław Wasilewski, Lech Poloński
    Pages 1-20

  3. An Introduction to ECG Signal Processing and Analysis

    • Adam Gacek
    Pages 21-46

  4. ECG Signal Analysis, Classification, and Interpretation: A Framework of Computational Intelligence

    • Adam Gacek, Witold Pedrycz
    Pages 47-77

  5. A Generic and Patient-Specific Electrocardiogram Signal Classification System

    • Turker Ince, Serkan Kiranyaz, Moncef Gabbouj
    Pages 79-98

  6. Model-Based Atrial Fibrillation Detection

    • Paulo de Carvalho, Jorge Henriques, Ricardo Couceiro, Matthew Harris, Manuel Antunes, Joerg Habetha
    Pages 99-133

  7. An Introduction to the Use of Evolutionary Computation Techniques for Dealing with ECG Signals

    • Guillermo Leguizamón, Carlos A. Coello
    Pages 135-153

  8. Electrocardiogram Application Based on Heart Rate Variability Ontology and Fuzzy Markup Language

    • Mei-Hui Wang, Chang-Shing Lee, Giovanni Acampora, Vincenzo Loia
    Pages 155-178

  9. Learning in Artificial Neural Networks

    • Antônio Pádua Braga
    Pages 179-193

  10. A Review of Kernel Methods in ECG Signal Classification

    • José L. Rojo-Álvarez, Gustavo Camps-Valls, Antonio J. Caamaño-Fernández, Juan F. Guerrero-Martínez
    Pages 195-217

  11. Hyperellipsoidal Classifier for Beat Classification in ECG Signals

    • G. Bortolan, I. Christov, W. Pedrycz
    Pages 219-236

  12. Evolutionary Optimization of ECG Feature Extraction Methods: Applications to the Monitoring of Adult Myocardial Ischemia and Neonatal Apnea Bradycardia Events

    • A. I. Hernández, J. Dumont, M. Altuve, A. Beuchée, G. Carrault
    Pages 237-273

  13. Back Matter

    Pages 275-278
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Keywords

About this book

The 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; detailed schemes, exercises and more advanced problems.

Editors and Affiliations

  • Institute of Medical Technology and Equi, Zabrze, Poland

    Adam Gacek

  • Dept. Electrical & Computer Engineering, University of Alberta, Edmonton, Canada

    Witold Pedrycz

About the editors

PhD and DSci degrees. Doctor Gacek’s  research interests are in biomedical instrumentation and signal processing, especially a detection and analysis of ECG signals, based on fuzzy set theory and information granulation methods. He has been involved in research based on application of Computational Intelligence in biomedical signal processing. Doctor Gacek has published numerous papers concerning biomedical instrumentation and signal processing.

He is a member of the Institute of Electrical Electronics and Engineering (IEEE) and the Association for Computing Machinery (ACM). He is also a member of the Polish Society of Biomedical Engineering, the Committee of Biocybernetics and Biomedical Engineering of Polish Academy of Science and the Polish Society of Theoretical and Applied Electrotechnics.

Witold Pedrycz is a Professor and Canada Research Chair (CRC) in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences. Professor Pedrycz is a Foreign Member of the Polish Academy of Sciences.

He is actively pursuing research in Computational Intelligence, fuzzy modeling, knowledge discovery and data mining, fuzzy control including fuzzy controllers, pattern recognition, knowledge-based neural networks, relational computation, bioinformatics, and Software Engineering. He has published numerous papers in this area. He is also an author of 14 research monographs covering various aspects of Computational Intelligence and Software Engineering.

Witold Pedrycz has been a member of numerous program committees of conferences in the area of fuzzy sets and neurocomputing. He currently serves as Editor in Chief of IEEE Trans. on Systems, Man and Cybernetics, Part A and Information Sciences. He is also an Associate Editor of IEEE Transactions on Fuzzy Systems. Doctor Pedrycz is an Editor-in-Chief of Information Sciences. He is a Past President of IFSA and Past  President of NAFIPS.

Bibliographic Information

  • Book Title: ECG Signal Processing, Classification and Interpretation

  • Book Subtitle: A Comprehensive Framework of Computational Intelligence

  • Editors: Adam Gacek, Witold Pedrycz

  • DOI: https://doi.org/10.1007/978-0-85729-868-3

  • Publisher: Springer London

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag London Limited 2012

  • Hardcover ISBN: 978-0-85729-867-6Published: 18 September 2011

  • Softcover ISBN: 978-1-4471-5920-9Published: 02 December 2014

  • eBook ISBN: 978-0-85729-868-3Published: 18 September 2011

  • Edition Number: 1

  • Number of Pages: X, 278

  • Topics: Biomedical Engineering and Bioengineering, Signal, Image and Speech Processing, Cardiology, Computational Intelligence

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