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10.1161/CIRCRESAHA.114.302240 http://scihub22266oqcxt.onion/10.1161/CIRCRESAHA.114.302240 C4043630!4043630 !24763468     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\24763468 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Circ+Res 2014 ; 114 (9 ): 1516-31 Nephropedia Template TP {{tp|p=24763468 |t=2014. Mathematical approaches to understanding and imaging atrial fibrillation: significance for mechanisms and management |pdf=|usr=}}{{24763468 }} gab.com Text Mathematical approaches to understanding and imaging atrial fibrillation: significance for mechanisms and management JO: Circ Res http://www.kidney.de/pget.php?&tw=1&pmid=24763468 #FOAvip Atrial fibrillation (AF) is the most common sustained arrhythmia in humans. The mechanisms that govern AF initiation and persistence are highly complex, of dynamic nature, and involve interactions across multiple temporal and spatial scales in the atria. This article aims to review the mathematical modeling and computer simulation approaches to understanding AF mechanisms and aiding in its management. Various atrial modeling approaches are presented, with descriptions of the methodological basis and advancements in both lower-dimensional and realistic geometry models. A review of the most significant mechanistic insights made by atrial simulations is provided. The article showcases the contributions that atrial modeling and simulation have made not only to our understanding of the pathophysiology of atrial arrhythmias, but also to the development of AF management approaches. A summary of the future developments envisioned for the field of atrial simulation and modeling is also presented. The review contends that computational models of the atria assembled with data from clinical imaging modalities that incorporate electrophysiological and structural remodeling could become a first line of screening for new AF therapies and approaches, new diagnostic developments, and new methods for arrhythmia prevention. Twit Text FOAVip Mathematical approaches to understanding and imaging atrial fibrillation: significance for mechanisms and management ????Circ Res http://www.kidney.de/pget.php?&tw=1&pmid=24763468 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24763468 #FOAvip English Wikipedia <ref>{{Cite pmid|24763468 }}</ref> Mathematical approaches to understanding and imaging atrial fibrillation: significance for mechanisms and management #MMPMID24763468 Trayanova NA Circ Res 2014[Apr]; 114 (9 ): 1516-31 PMID24763468 show ga Atrial fibrillation (AF) is the most common sustained arrhythmia in humans. The mechanisms that govern AF initiation and persistence are highly complex, of dynamic nature, and involve interactions across multiple temporal and spatial scales in the atria. This article aims to review the mathematical modeling and computer simulation approaches to understanding AF mechanisms and aiding in its management. Various atrial modeling approaches are presented, with descriptions of the methodological basis and advancements in both lower-dimensional and realistic geometry models. A review of the most significant mechanistic insights made by atrial simulations is provided. The article showcases the contributions that atrial modeling and simulation have made not only to our understanding of the pathophysiology of atrial arrhythmias, but also to the development of AF management approaches. A summary of the future developments envisioned for the field of atrial simulation and modeling is also presented. The review contends that computational models of the atria assembled with data from clinical imaging modalities that incorporate electrophysiological and structural remodeling could become a first line of screening for new AF therapies and approaches, new diagnostic developments, and new methods for arrhythmia prevention. |*Atrial Function [MESH] |*Models, Cardiovascular [MESH] |Action Potentials [MESH] |Animals [MESH] |Atrial Fibrillation/diagnosis/metabolism/*physiopathology/therapy [MESH] |Computer Simulation [MESH] |Heart Conduction System/metabolism/*physiopathology [MESH] |Humans [MESH] |Prognosis [MESH]Mathematical approaches to understanding and imaging atrial fibrillati(epmc).pdf DeepDyve Pubget Overpricing