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Modeling and data assimilation in cardiac electrophysiology
Multi angle
Authors : Collin, Annabelle (Author of the conference)
CIRM (Publisher )
65C20 - Models (numerical methods)
92C30 - Physiology (general)
35Q92 - PDEs in connection with biology and other natural sciences
CIRM (Publisher )
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Abstract :
In this talk we overview some of the challenges of cardiac modeling and simulation of the electrical depolarization of the heart. In particular, we will present a strategy allowing to avoid the 3D simulation of the thin atria depolarization but only solve an asymptotic consistent model on the mid-surface. In a second part, we present a strategy for estimating a cardiac electrophysiology model from front data measurements using sequential parallel data assimilation strategy.
MSC Codes : 65C20 - Models (numerical methods)
92C30 - Physiology (general)
35Q92 - PDEs in connection with biology and other natural sciences
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Information on the Video
Film maker : Hennenfent, GuillaumeLanguage : English Available date : 08/08/2016 Conference Date : 08/08/2016 Subseries : Research talks arXiv category : Numerical Analysis ; Quantitative Biology Mathematical Area(s) : Numerical Analysis & Scientific Computing ; Mathematics in Science & Technology Format : MP4 (.mp4) - HD Video Time : 00:39:44 Targeted Audience : Researchers Download : https://videos.cirm-math.fr/2016-08-08_Collin.mp4 
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Information on the Event
Event Title : CEMRACS: Numerical challenges in parallel scientific computing / CEMRACS : Défis numériques en calcul scientifique parallèleEvent Organizers : Grigori, Laura ; Japhet, Caroline ; Moireau, Philippe ; Parnaudeau, Philippe Dates : 18/07/2016 - 26/08/2016 Event Year : 2016 Event URL : http://conferences.cirm-math.fr/1430.html
Citation Data
DOI : 10.24350/CIRM.V.19027903Cite this video as: Collin, Annabelle (2016). Modeling and data assimilation in cardiac electrophysiology. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19027903 URI : http://dx.doi.org/10.24350/CIRM.V.19027903 |
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