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008 220601s2008 sz | s |||| 0|eng d
020 _a9783031016325
_9978-3-031-01632-5
024 7 _a10.1007/978-3-031-01632-5
_2doi
050 4 _aT1-995
072 7 _aTBC
_2bicssc
072 7 _aTEC000000
_2bisacsh
072 7 _aTBC
_2thema
082 0 4 _a620
_223
100 1 _aMainardi, Luca.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_984038
245 1 0 _aUnderstanding Atrial Fibrillation
_h[electronic resource] :
_bThe Signal Processing Contribution, Part II /
_cby Luca Mainardi, Leif Sörnmo, Sergio Cerutti.
250 _a1st ed. 2008.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2008.
300 _aXVIII, 122 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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.
650 0 _aEngineering.
_99405
650 0 _aBiophysics.
_94093
650 0 _aBiomedical engineering.
_93292
650 1 4 _aTechnology and Engineering.
_984040
650 2 4 _aBiophysics.
_94093
650 2 4 _aBiomedical Engineering and Bioengineering.
_931842
700 1 _aSörnmo, Leif.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_984041
700 1 _aCerutti, Sergio.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_927733
710 2 _aSpringerLink (Online service)
_984044
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031005046
776 0 8 _iPrinted edition:
_z9783031027604
830 0 _aSynthesis Lectures on Biomedical Engineering,
_x1930-0336
_984046
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01632-5
912 _aZDB-2-SXSC
942 _cEBK
999 _c85606
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