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Conference Papers Year : 2011

Parameter identification in cardiac electrophysiology using Proper Orthogonal Decomposition method

Abstract

We consider the problem of estimating some parameters (like ionic models or parameters involved in the initial stimulation) of a model of electrocardiograms (ECG) from the data of the Einthoven leads. This problem can be viewed as a first attempt to identify or to locate a pathology. The direct model is based on the bidomain equations in the heart and a Poisson equation in the torso. To keep the computational time reasonable, the evaluation of the direct problem is approximated with a reduced order model based on Proper Orthogonal Decomposition (POD). The optimization problem is solved using a genetic algorithm. Numerical tests show that, with noisy synthetic data, the proposed procedure allows to recover ionic parameters and initial activation regions with a fair accuracy.
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Dates and versions

hal-00650606 , version 1 (11-12-2011)

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Muriel Boulakia, Jean-Frédéric Gerbeau. Parameter identification in cardiac electrophysiology using Proper Orthogonal Decomposition method. FIMH2011 : Sixth International Conference on Functional Imaging and Modeling of the Heart, May 2011, New York, United States. pp.315-322, ⟨10.1007/978-3-642-21028-0_40⟩. ⟨hal-00650606⟩
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