Sequential State Estimation for Electrophysiology Models with Front Level-Set Data Using Topological Gradient Derivations
COLLIN, Annabelle
Mathematical and Mechanical Modeling with Data Interaction in Simulations for Medicine [M3DISIM]
Modélisation Mathématique pour l'Oncologie [MONC]
Mathematical and Mechanical Modeling with Data Interaction in Simulations for Medicine [M3DISIM]
Modélisation Mathématique pour l'Oncologie [MONC]
CHAPELLE, Dominique
Mathematical and Mechanical Modeling with Data Interaction in Simulations for Medicine [M3DISIM]
Mathematical and Mechanical Modeling with Data Interaction in Simulations for Medicine [M3DISIM]
MOIREAU, Philippe
Mathematical and Mechanical Modeling with Data Interaction in Simulations for Medicine [M3DISIM]
Mathematical and Mechanical Modeling with Data Interaction in Simulations for Medicine [M3DISIM]
COLLIN, Annabelle
Mathematical and Mechanical Modeling with Data Interaction in Simulations for Medicine [M3DISIM]
Modélisation Mathématique pour l'Oncologie [MONC]
Mathematical and Mechanical Modeling with Data Interaction in Simulations for Medicine [M3DISIM]
Modélisation Mathématique pour l'Oncologie [MONC]
CHAPELLE, Dominique
Mathematical and Mechanical Modeling with Data Interaction in Simulations for Medicine [M3DISIM]
Mathematical and Mechanical Modeling with Data Interaction in Simulations for Medicine [M3DISIM]
MOIREAU, Philippe
Mathematical and Mechanical Modeling with Data Interaction in Simulations for Medicine [M3DISIM]
< Réduire
Mathematical and Mechanical Modeling with Data Interaction in Simulations for Medicine [M3DISIM]
Langue
en
Communication dans un congrès
Ce document a été publié dans
Functional Imaging and Modeling of the Heart 2015, 2015-06-25, Maastricht. 2015, vol. 9126, p. 402-411
Springer
Résumé en anglais
We propose a new sequential estimation method for making an electrophysiology model patient-specific, with data in the form of level sets of the electrical potential. Our method incorporates a novel correction term based ...Lire la suite >
We propose a new sequential estimation method for making an electrophysiology model patient-specific, with data in the form of level sets of the electrical potential. Our method incorporates a novel correction term based on topological gradients, in order to track solutions of complex patterns. Our assessments demonstrate the effectiveness of this approach, including in a realistic case of atrial fibrillation.< Réduire
Mots clés en anglais
electrophysiology modeling
shape derivative
topological gradient
bidomain equations
observer
estimation
data assimilation
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