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06013nam a2200649 a 4500 |
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090108s2008 caua fsab 001 0 eng d |
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|a 9781598292978 (electronic bk.)
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|a 9781598292961 (pbk.)
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|a 10.2200/S00152ED1V01Y200809BME024
|2 doi
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|a (CaBNvSL)gtp00532335
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|a CaBNvSL
|c CaBNvSL
|d CaBNvSL
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|a RC685.A72
|b M2581 2008
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|a 616.128
|2 22
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|a Mainardi, Luca.
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|a Understanding atrial fibrillation, the signal processing contribution.
|c Luca Mainardi, Leif Sörnmo, Sergio Cerutti.
|h [electronic resource] /
|n Part I
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|a San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) :
|b Morgan & Claypool Publishers,
|c c2008.
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|a 1 electronic text (xvii, 102 p. : ill.) :
|b digital file.
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|a Synthesis lectures on biomedical engineering,
|v # 24
|x 1930-0336 ;
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|a Part of: Synthesis digital library of engineering and computer science.
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|a Title from PDF t.p. (viewed on January 8, 2009).
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|a Series from website.
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|a Includes bibliographical references and index.
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|a Introduction to atrial fibrillation: from mechanisms to treatment -- Andreas Bollmann and Federico Lombardi -- Background -- Atrial fibrillation mechanisms -- Main determinants of atrial activation, the wavelength concept -- AF activation mapping -- AF frequency mapping -- Classification schemes -- Epidemiology -- Clinical presentation -- Mortality and morbidity -- Treatment of atrial fibrillation -- Conclusions -- Bibliography -- Time domain analysis of atrial fibrillation -- Introduction -- Atrial fibrillation and ECG characteristics -- Fibrillatory wave analysis -- Fibrillatory wave amplitude -- Fibrillatory wave rate -- Reproducibility over time -- Suitable lead sets for AF analysis -- Vector analysis -- Limitations of AF analysis -- Conclusions -- Bibliography -- Atrial activity extraction from the ECG -- Leif Sörnmo, Martin Stridh, and José Joaquín Rieta -- Introduction -- Average beat subtraction and variants -- Spatiotemporal QRST cancellation -- TQ-based fibrillation signal -- Separate QRS complex and T wave cancellation -- Single-beat cancellation -- Principal component analysis -- Single-lead analysis -- Multi-lead analysis -- Independent component analysis -- Model and methods -- Application to ECG signals -- Performance evaluation -- Simulation models -- Performance measures -- Conclusions -- Bibliography -- Time-frequency analysis of atrial fibrillation -- Frida Sandberg, Martin Stridh, and Leif Sörnmo -- Introduction -- Time-frequency distributions -- The Wigner-Ville distribution -- The Cross Wigner-Ville distribution -- The spectral profile method -- Robust spectral estimation -- Spectral profile validity -- Spectral modeling with Gaussian functions -- Hidden Markov model -- Conclusions -- Bibliography.
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|a Abstract freely available; full-text restricted to subscribers or individual document purchasers.
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|a Compendex
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|a INSPEC
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|a Google scholar
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|a Google book search
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|a The book presents recent advances in signal processing techniques for modeling, analysis, and understanding of the heart's electrical activity during atrial fibrillation. This arrhythmia is the most commonly encountered in clinical practice and its complex and metamorphic nature represents a challenging problem for clinicians, engineers, and scientists. Research on atrial fibrillation has stimulated the development of a wide range of signal processing tools to better understand the mechanisms ruling its initiation, maintenance, and termination. This book provides undergraduate and graduate students, as well as researchers and practicing engineers, with an overview of techniques, including time domain techniques for atrial wave extraction, time-frequency analysis for exploring wave dynamics, and nonlinear techniques to characterize the ventricular response and the organization of atrial activity.The book includes an introductory chapter about atrial fibrillation and its mechanisms, treatment, and management. The successive chapters are dedicated to the analysis of atrial signals recorded on the body surface and to the quantification of ventricular response. The rest of the book explores techniques to characterize endo- and epicardial recordings and to model atrial conduction. Under the appearance of being a monothematic book on atrial fibrillation, the reader will not only recognize common problems of biomedical signal processing but also discover that analysis of atrial fibrillation is a unique challenge for developing and testing novel signal processing tools.
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|a Also available in print.
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|a Mode of access: World Wide Web.
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|a System requirements: Adobe Acrobat reader.
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|a Atrial fibrillation
|x Data processing.
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|a Signal processing
|x Digital techniques.
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|a Atrial fibrillation.
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|a Signal processing.
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|a Signal modeling.
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|a Atrial activity extraction.
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|a Spectral analysis.
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|a Time-frequency analysis.
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|a Ventricular response characterization.
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|a Heart rate variability.
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|a Atrial organization indices.
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|a Source modeling.
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|a Volume conductor modeling.
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|a Intracardiac AF detection.
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|a AF long-term monitoring.
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|a Implantable cardiac devices pacemakers
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|a Sörnmo, Leif.
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|a Cerutti, Sergio.
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|a Synthesis digital library of engineering and computer science.
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|a Synthesis lectures on biomedical engineering (Online) ;
|v # 24.
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|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.2200/S00152ED1V01Y200809BME024
|3 Abstract with links to full text
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