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ECG signal processing, classification and interpretation : a comprehensive framework of computational intelligence

Author: Adam C Gacek; Witold Pedrycz
Publisher: London ; New York : Springer, ©2012.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
ECG Signal Processing, Classification and Interpretation.
Springer Verlag 2011
(OCoLC)731920761
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Adam C Gacek; Witold Pedrycz
ISBN: 9780857298683 0857298682
OCLC Number: 779003047
Description: 1 online resource (x, 278 pages) : illustrations (some color)
Contents: An Introduction to ECG Interpretation / Jarosław Wasilewski, Lech Poloński --
An Introduction to ECG Signal Processing and Analysis / Adam Gacek --
ECG Signal Analysis, Classification, and Interpretation: A Framework of Computational Intelligence / Adam Gacek, Witold Pedrycz --
A Generic and Patient-Specific Electrocardiogram Signal Classification System / Turker Ince, Serkan Kiranyaz, Moncef Gabbouj --
Model-Based Atrial Fibrillation Detection / Paulo de Carvalho, Jorge Henriques --
An Introduction to the Use of Evolutionary Computation Techniques for Dealing with ECG Signals / Guillermo Leguizamón, Carlos A. Coello --
Electrocardiogram Application Based on Heart Rate Variability Ontology and Fuzzy Markup Language / Mei-Hui Wang, Chang-Shing Lee --
Learning in Artificial Neural Networks / Antônio Pádua Braga --
A Review of Kernel Methods in ECG Signal Classification / José L. Rojo-Álvarez, Gustavo Camps-Valls --
Hyperellipsoidal Classifier for Beat Classification in ECG Signals / G. Bortolan, I. Christov, W. Pedrycz --
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.
Responsibility: Adam Gacek, Witold Pedrycz, editors.

Abstract:

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  Read more...

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