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Reduced-order modeling for cardiac electrophysiology. Application to parameter identification.

Authors
  • Boulakia, M
  • Schenone, E
  • Gerbeau, J-F
Type
Published Article
Journal
International journal for numerical methods in biomedical engineering
Publication Date
Jan 01, 2012
Volume
28
Issue
6-7
Pages
727–744
Identifiers
DOI: 10.1002/cnm.2465
PMID: 25364848
Source
Medline
Keywords
License
Unknown

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.

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