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An iterative method for solving the inverse problem in electrocardiography in normal and fibrillation conditions: A simulation Study

Nejib Zemzemi 1, *
* Corresponding author
1 CARMEN - Modélisation et calculs pour l'électrophysiologie cardiaque
IMB - Institut de Mathématiques de Bordeaux, Inria Bordeaux - Sud-Ouest, IHU-LIRYC
Abstract : Electrocardiographic Imaging (ECGI) is a new imaging technique that noninvasively images cardiac electrical activity on the heart surface. In ECGI, a multi- electrode vest is used to record the body-surface potential maps (BSPMs). Then, using geometrical information from CT-scans and a mathematical algorithm we construct the electrical potentials on the heart surface. The reconstruction of cardiac activity from BSPMs is an ill-posed problem. Some algorithms work well in sinus rhythm, but in arrhythmic conditions the reconstruction of the heart potential becomes worst. In this work, we present an iterative mathematical approach based on domain decomposition methods and test it on synthetically data generated using anatomical 43 years old women geometry for normal and fibrillating heart conditions.
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https://hal.inria.fr/hal-01064445
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Submitted on : Tuesday, September 16, 2014 - 1:09:52 PM
Last modification on : Thursday, January 11, 2018 - 6:23:41 AM
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Nejib Zemzemi. An iterative method for solving the inverse problem in electrocardiography in normal and fibrillation conditions: A simulation Study. International Congress on Electrocardiology (ICE), Jun 2014, Bratislava, Slovakia. pp.53-56. ⟨hal-01064445⟩

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