Ionic Parameters Estimation in Multi-Scale Cardiac Electrophysiology Modelling
hal.structure.identifier | Laboratoire de Modélisation Mathématique et Numérique dans les Sciences de l'Ingénieur [Tunis] [LR-LAMSIN-ENIT] | |
dc.contributor.author | ABIDI, Yassine | |
hal.structure.identifier | Laboratoire de Modélisation Mathématique et Numérique dans les Sciences de l'Ingénieur [Tunis] [LR-LAMSIN-ENIT] | |
dc.contributor.author | MAHJOUB, Moncef | |
hal.structure.identifier | Modélisation et calculs pour l'électrophysiologie cardiaque [CARMEN] | |
dc.contributor.author | ZEMZEMI, Nejib | |
dc.date.accessioned | 2024-04-04T02:59:22Z | |
dc.date.available | 2024-04-04T02:59:22Z | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/192737 | |
dc.description.abstractEn | In this work, we present an optimal control formulation for the bidomain model in order to estimate maximal conductance parameters in cardiac electrophysiology multiscale modelling. We consider a general Hodgkin-Huxley formalism to describe the ionic exchanges at the microscopic level. We treat the desired parameters as control variables in a cost function minimizing the gap between the measured and the computed transmembrane potentials. First, we establish the existence of an optimal control solution and we formally derive the optimality system. Second, we propose a strategy for solving the estimation problem for both single and multiple parameters cases. Our algorithm is based on a gradient descent method, where the gradient is obtained by solving an adjoint problem. Both the state and the adjoint problems are solved using the finite element method. Numerical simulations for single and multiple conductances estimations show the capability of this approach to identify the values of sodium, calcium and potassium ion channels conductances of the Luo Rudy phase I model. | |
dc.description.sponsorship | L'Institut de Rythmologie et modélisation Cardiaque - ANR-10-IAHU-0004 | |
dc.language.iso | en | |
dc.subject.en | Optimal control with PDE constraints | |
dc.subject.en | Bidomain model | |
dc.subject.en | Physiological ionic model | |
dc.subject.en | Maximal conductance parameters | |
dc.title.en | Ionic Parameters Estimation in Multi-Scale Cardiac Electrophysiology Modelling | |
dc.type | Document de travail - Pré-publication | |
dc.subject.hal | Informatique [cs]/Modélisation et simulation | |
dc.subject.hal | Mathématiques [math]/Equations aux dérivées partielles [math.AP] | |
dc.subject.hal | Mathématiques [math]/Analyse numérique [math.NA] | |
dc.subject.hal | Mathématiques [math]/Optimisation et contrôle [math.OC] | |
bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
hal.identifier | hal-02338984 | |
hal.version | 1 | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-02338984v1 | |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=ABIDI,%20Yassine&MAHJOUB,%20Moncef&ZEMZEMI,%20Nejib&rft.genre=preprint |
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