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

被引：39
作者：
Boulakia, M. [2 ]
Schenone, E. [1 ,2 ]
Gerbeau, J-F. [1 ]
机构：
[1] INRIA Paris, F-78153 Le Chesnay, France
[2] Univ Paris 06, Jacques Louis Lions Lab UMR 7598, F-75005 Paris, France
来源：
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING | 2012年 / 28卷 / 6-7期
关键词：
cardiac electrophysiology; reduced-order model; inverse problem; POD; BIDOMAIN EQUATIONS; EXCITATION; DYNAMICS; TISSUE;
D O I：
10.1002/cnm.2465
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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. Copyright (c) 2012 John Wiley & Sons, Ltd.
引用
收藏
页码：727 / 744
页数：18
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