000 06039nam a2200685 i 4500
001 6814208
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 _a9781598292978 (electronic bk.)
024 7 _a10.2200/S00152ED1V01Y200809BME024
_2doi
035 _a(CaBNVSL)gtp00532335
035 _a(OCoLC)299803441
040 _aCaBNVSL
_cCaBNVSL
_dCaBNVSL
050 4 _aRC685.A72
_bM2581 2008
082 0 4 _a616.128
_222
100 1 _aMainardi, Luca.
245 1 0 _aUnderstanding atrial fibrillation, the signal processing contribution.
_nPart I
_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, 102 p. : ill.) :
_bdigital file.
490 1 _aSynthesis lectures on biomedical engineering,
_x1930-0336 ;
_v# 24
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 _aIntroduction 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.
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 _aTime-frequency analysis.
690 _aSpectral analysis.
690 _aAtrial activity extraction.
690 _aSignal modeling.
690 _aSignal processing.
690 _aAtrial fibrillation.
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# 24.
856 4 2 _3Abstract with links to resource
_uhttp://ieeexplore.ieee.org/servlet/opac?bknumber=6814208
999 _c561660
_d561660