000			07152nam a2200685 i 4500
001			6814224
003			IEEE
005			20200413152853.0
006			m eo d
007			cr cn |||m|||a
008			090108s2008 caua foab 001 0 eng d
020			_a9781598292961 (pbk.)
020			_a9781598298376 (electronic bk.)
024	7		_a10.2200/S00153ED1V01Y200809BME025 _2doi
035			_a(OCoLC)299827537
035			_a(CaBNVSL)gtp00532336
040			_aCaBNVSL _cCaBNVSL _dCaBNVSL
050		4	_aRC685.A72 _bM2582 2008
082	0	4	_a616.128 _222
100	1		_aMainardi, Luca.
245	1	0	_aUnderstanding atrial fibrillation, the signal processing contribution. _nPart II _h[electronic resource] / _cLuca Mainardi, Leif Sörnmo, Sergio Cerutti.
260			_aSan Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : _bMorgan & Claypool Publishers, _cc2008.
300			_a1 electronic text (xvii, 105-214 p. : ill.) : _bdigital file.
490	1		_aSynthesis lectures on biomedical engineering, _x1930-0336 ; _v# 25
538			_aSystem requirements: Adobe Acrobat reader.
538			_aMode of access: World Wide Web.
500			_aPart of: Synthesis digital library of engineering and computer science.
500			_aSeries from website.
504			_aIncludes bibliographical references and index.
505	0		_aAnalysis 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.
506	1		_aAbstract freely available; full-text restricted to subscribers or individual document purchasers.
510	0		_aCompendex
510	0		_aINSPEC
510	0		_aGoogle scholar
510	0		_aGoogle book search
520			_aThe 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.
530			_aAlso available in print.
588			_aTitle from PDF t.p. (viewed on January 8, 2009).
650		0	_aSignal processing _xDigital techniques.
650		0	_aAtrial fibrillation _xData processing.
690			_aSignal processing.
690			_aAtrial fibrillation.
690			_aSignal modeling.
690			_aAtrial activity extraction.
690			_aSpectral analysis.
690			_aTime-frequency analysis.
690			_aVentricular response characterization.
690			_aHeart rate variability.
690			_aAtrial organization indices.
690			_aSource modeling.
690			_aVolume conductor modeling.
690			_aIntracardiac AF detection.
690			_aAF long-term monitoring.
690			_aImplantable cardiac devices pacemakers.
700	1		_aSörnmo, Leif.
700	1		_aCerutti, Sergio.
730	0		_aSynthesis digital library of engineering and computer science.
830		0	_aSynthesis lectures on biomedical engineering ; _v# 25.
856	4	2	_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/servlet/opac?bknumber=6814224
999			_c561661 _d561661