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Validation of a sequential data assimilation method applied to cardiac electrophysiology

Antoine Gérard 1, 2, 3 Annabelle Collin 4, 2 Yves Coudière 1, 2, 3
1 CARMEN - Modélisation et calculs pour l'électrophysiologie cardiaque
IMB - Institut de Mathématiques de Bordeaux, Inria Bordeaux - Sud-Ouest, IHU-LIRYC
4 MONC - Modélisation Mathématique pour l'Oncologie
IMB - Institut de Mathématiques de Bordeaux, Institut Bergonié [Bordeaux], Inria Bordeaux - Sud-Ouest
Abstract : Improved electroanatomical recordings and imaging capabilities prompts for trying to personalize cardiac electrical models. Though it is challenging, data assimilation is a family of methods relevant to this problem. It consists in estimating the state of the system thanks to observations. Among the two main approaches, variationnal and sequential, we choose to investigate the possibilities of a sequential method based on an atrial model and atrial electroanatomical maps. The method combines a state observer and a Kalman filter to estimate some parameters in the model.
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Contributor : Antoine Gérard <>
Submitted on : Friday, December 14, 2018 - 2:48:14 PM
Last modification on : Thursday, June 11, 2020 - 3:20:40 AM
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  • HAL Id : hal-01955627, version 1



Antoine Gérard, Annabelle Collin, Yves Coudière. Validation of a sequential data assimilation method applied to cardiac electrophysiology. Virtual Physiological Human conference, Sep 2018, Saragosse, Spain. ⟨hal-01955627⟩



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