Sequential State Estimation for Electrophysiology Models with Front Level-Set Data Using Topological Gradient Derivations
Résumé
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.
Origine | Fichiers produits par l'(les) auteur(s) |
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