title: Reduced-order modeling for cardiac electrophysiology. Application to parameter identification.
abstract: A reduced-order model based on proper orthogonal decomposition (POD) is proposed for the bidomain equations of cardiac electrophysiology. Its accuracy is assessed through electrocardiograms in various configurations, including myocardium infarctions and long-time simulations. We show in particular that a restitution curve can efficiently be approximated by this approach. The reduced-order model is then used in an inverse problem solved by an evolutionary algorithm. Some attempts are presented to identify ionic parameters and infarction locations from synthetic electrocardiograms.
authors.affiliation: LJLL UMR 7598, UPMC-University Paris 6, Paris, F-75005, France. boulakia@ann.jussieu.fr.
authors.forename: M
authors.initials: M
authors.lastname: Boulakia
authors.forename: E
authors.initials: E
authors.lastname: Schenone
authors.forename: J-F
authors.initials: JF
authors.lastname: Gerbeau
mesh_terms: D000465:Algorithms; D054849:Cardiac Electrophysiology / Q000379:methods*; D003198:Computer Simulation; D004562:Electrocardiography / Q000379:methods; D022062:Electrophysiologic Techniques, Cardiac / Q000379:methods; D006321:Heart / Q000502:physiology*; D006801:Humans; D008955:Models, Cardiovascular
keywords: POD; cardiac electrophysiology; inverse problem; reduced-order model