000			04022nam a22004335i 4500
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008			230422s2008 sz | s |||| 0|eng d
020			_a9783031016325
024	7		_a10.1007/978-3-031-01632-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aRC685.A72 _b2008 EB
100	1		_aMainardi, Luca _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686692
245	1	0	_aUnderstanding Atrial Fibrillation : _bThe Signal Processing Contribution, Part II _cby Luca Mainardi, Leif Sörnmo, Sergio Cerutti
250			_a1st edition 2008
264		1	_aCham _bSpringer International Publishing _c2008
300			_a1 recurso en línea (XVIII, 122 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Biomedical Engineering _x1930-0336
505	0		_aAnalysis of Ventricular Response During Atrial Fibrillation -- Organization Measures of Atrial Activity During Fibrillation -- Modeling Atrial Fibrillation: From Myocardial Cells to ECG -- Algorithms for Atrial Tachyarrythmia Detection for Long-Term Monitoring with Implantable Devices.
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. Table of Contents: Analysis of Ventricular Response During Atrial Fibrillation / Organization Measures of Atrial Activity During Fibrillation / Modeling Atrial Fibrillation: From Myocardial Cells to ECG / Algorithms for Atrial Tachyarrythmia Detection for Long-Term Monitoring with Implantable Devices.
988			_aSynthesis Collection of Technology_2008
650		7	_2embne _9158655 _aFibrilación auricular
650		7	_2embne _9150608 _aProceso de señales
700	1		_aSörnmo, Leif _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _946968
700	1		_aCerutti, Sergio _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686691
776	0	8	_iPrinted edition: _z9783031005046
776	0	8	_iPrinted edition: _z9783031027604
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01632-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2023 _dz _eIG _zSI