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07126nam a2200649 a 4500 |
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3395 |
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20090109171549.0 |
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m e d |
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cr cn |||m|||a |
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090108s2008 caua fsab 001 0 eng d |
| 020 |
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|a 9781598298376 (electronic bk.)
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| 020 |
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|a 9781598292961 (pbk.)
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7 |
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|a 10.2200/S00153ED1V01Y200809BME025
|2 doi
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| 035 |
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|a (CaBNvSL)gtp00532336
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|a CaBNvSL
|c CaBNvSL
|d CaBNvSL
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|a RC685.A72
|b M2582 2008
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0 |
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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 II
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| 260 |
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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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| 300 |
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|a 1 electronic text (xvii, 105-214 p. : ill.) :
|b digital file.
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| 490 |
1 |
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|a Synthesis lectures on biomedical engineering,
|v # 25
|x 1930-0336 ;
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| 500 |
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|a Part of: Synthesis digital library of engineering and computer science.
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| 500 |
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|a Title from PDF t.p. (viewed on January 8, 2009).
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| 500 |
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|a Series from website.
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|a Includes bibliographical references and index.
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|a Analysis of ventricular response during atrial fibrillation -- Valentina Corino, Andreu Climent, Luca Mainardi, and Andreas Bollmann -- Introduction -- RR interval histograms -- Heart rate stratified histograms -- Applications -- The Poincaré plot -- The linear regression line -- The Hough transform -- Applications -- Clusters in the Poincaré plot -- Double sectors in the Poincaré plot -- The histographic Poincaré plot -- Applications -- Time domain parameters -- Spectral analysis and 1/f power law behavior -- Methodological aspects -- Applications -- Nonlinear indices -- Embedding time series derived methods -- Entropy -- Regularity -- Conclusions -- Bibliography -- Organization measures of atrial activity during fibrillation -- Flavia Ravelli, Luca Faes, Valentina Corino, and Luca Mainardi -- Introduction -- The concept of AF organization -- Measures of AF organization -- Rhythm analysis -- Regularity analysis -- Synchronization analysis -- Morphology-based analysis -- Conclusions -- Bibliography -- Modeling atrial fibrillation: from myocardial cells to ECG -- Adriaan van Oosterom and Vincent Jacquemet -- Introduction -- Genesis of electrocardiographic potentials: the forward problem -- Source models -- Electrophysiological background -- The equivalent double layer -- The volume conductor mode -- Potentials at arbitrary field points -- A general forward formulation -- Modeling activation and recovery -- Propagation derived from membrane kinetics -- Units representing the myocardial cells -- Model parameters as used in the examples -- Atrial model -- Thorax model -- Examples -- Potentials on the atrial surface -- Potentials on the thorax surface -- ECG signals -- Bibliography -- Algorithms for atrial tachyarrhythmia detection for long-term monitoring with implantable devices -- Rahul Mehra, Jeff Gillberg, Paul Ziegler, and Shantanu Sarkar -- Introduction -- External versus implantable devices -- Implantable devices -- Sensing and detection for implantable pacemakers, ICDs, and CRT devices -- Intracardiac electrograms -- Sensing of intracardiac EGMs for AT/AF detection -- Detection of atrial tachyarrhythmias by pacemakers, ICDs, and CRT devices -- Detection of AT/AF for pacemaker modeswitching -- Detection of atrial tachyarrhythmias for atrial antiarrhythmic therapy -- Detection of AT for VT/SVT discrimination in ICDs -- Atrial tachyarrhythmia detection with subcutaneous monitoring devices -- Sensing of RR intervals -- Physiological concepts for design of detection algorithm -- Lorenz plot distribution of RR intervals during atrial tachyarrhythmia -- Atrial tachyarrhythmia detection algorithm -- Detector performance -- Monitoring and clinical diagnostics for atrial tachyarrhythmias with ICDs -- Data collection and organization -- Monitoring for rhythm control -- Monitoring for rate control -- Conclusions.
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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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| 538 |
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|a Mode of access: World Wide Web.
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| 538 |
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|a System requirements: Adobe Acrobat reader.
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| 650 |
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|a Atrial fibrillation
|x Data processing.
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| 650 |
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|a Signal processing
|x Digital techniques.
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| 690 |
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|a Atrial fibrillation.
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| 690 |
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|a Signal processing.
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| 690 |
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|a Signal modeling.
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| 690 |
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|a Atrial activity extraction.
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| 690 |
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|a Spectral analysis.
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| 690 |
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|a Time-frequency analysis.
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| 690 |
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|a Ventricular response characterization.
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| 690 |
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|a Heart rate variability.
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| 690 |
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|a Atrial organization indices.
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| 690 |
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|a Source modeling.
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| 690 |
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|a Volume conductor modeling.
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| 690 |
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|a Intracardiac AF detection.
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| 690 |
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|a AF long-term monitoring.
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| 690 |
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|a Implantable cardiac devices pacemakers.
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| 700 |
1 |
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|a Sörnmo, Leif.
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| 700 |
1 |
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|a Cerutti, Sergio.
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| 730 |
0 |
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|a Synthesis digital library of engineering and computer science.
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| 830 |
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|a Synthesis lectures on biomedical engineering (Online) ;
|v # 25.
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| 856 |
4 |
2 |
|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.2200/S00153ED1V01Y200809BME025
|3 Abstract with links to full text
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