Literature DB >> 15721652

Lead field computation for the electrocardiographic inverse problem--finite elements versus boundary elements.

M Seger1, G Fischer, R Modre, B Messnarz, F Hanser, B Tilg.   

Abstract

In order to be able to solve the inverse problem of electrocardiography, the lead field matrix (transfer matrix) has to be calculated. The two methods applied for computing this matrix, which are compared in this study, are the boundary element method (BEM) and the finite element method (FEM). The performance of both methods using a spherical model was investigated. For a comparable discretization level, the BEM yields smaller relative errors compared to analytical solutions. The BEM needs less computation time, but a larger amount of memory. Inversely calculated myocardial activation times using either the FEM or BEM computed lead field matrices give similar activation time patterns. The FEM, however, is also capable of considering anisotropic conductivities. This property might have an impact for future development, when also individual myocardial fiber architecture can be considered in the inverse formulation.

Mesh:

Year:  2005        PMID: 15721652     DOI: 10.1016/j.cmpb.2004.10.005

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  3 in total

1.  Resolution strategies for the finite-element-based solution of the ECG inverse problem.

Authors:  Dafang Wang; Robert M Kirby; Chris R Johnson
Journal:  IEEE Trans Biomed Eng       Date:  2009-06-16       Impact factor: 4.538

2.  Cardiac anisotropy in boundary-element models for the electrocardiogram.

Authors:  Mark Potse; Bruno Dubé; Alain Vinet
Journal:  Med Biol Eng Comput       Date:  2009-03-21       Impact factor: 2.602

3.  ECG Localization Method Based on Volume Conductor Model and Kalman Filtering.

Authors:  Yuki Nakano; Essam A Rashed; Tatsuhito Nakane; Ilkka Laakso; Akimasa Hirata
Journal:  Sensors (Basel)       Date:  2021-06-22       Impact factor: 3.576

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.