Literature DB >> 20876005

Stimulus protocol determines the most computationally efficient preconditioner for the bidomain equations.

Miguel O Bernabeu1, Pras Pathmanathan, Joe Pitt-Francis, David Kay.   

Abstract

The efficient solution of the bidomain equations is a fundamental tool in the field of cardiac electrophysiology. When choosing a finite element discretization of the coupled system, one has to deal with the solution of a large, highly sparse system of linear equations. The conjugate gradient algorithm, along with suitable preconditioning, is the natural choice in this scenario. In this study, we identify the optimal preconditioners with respect to both stimulus protocol and mesh geometry. The results are supported by a comprehensive study of the mesh-dependence properties of several preconditioning techniques found in the literature. Our results show that when only intracellular stimulus is considered, incomplete LU factorization remains a valid choice for current cardiac geometries. However, when extracellular shocks are delivered to tissue, preconditioners that take into account the structure of the system minimize execution time and ensure mesh-independent convergence.

Mesh:

Year:  2010        PMID: 20876005     DOI: 10.1109/TBME.2010.2078817

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  4 in total

1.  A comparison of solver performance for complex gastric electrophysiology models.

Authors:  Shameer Sathar; Leo K Cheng; Mark L Trew
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2015

2.  Chaste: an open source C++ library for computational physiology and biology.

Authors:  Gary R Mirams; Christopher J Arthurs; Miguel O Bernabeu; Rafel Bordas; Jonathan Cooper; Alberto Corrias; Yohan Davit; Sara-Jane Dunn; Alexander G Fletcher; Daniel G Harvey; Megan E Marsh; James M Osborne; Pras Pathmanathan; Joe Pitt-Francis; James Southern; Nejib Zemzemi; David J Gavaghan
Journal:  PLoS Comput Biol       Date:  2013-03-14       Impact factor: 4.475

3.  Efficient simulation of cardiac electrical propagation using high order finite elements.

Authors:  Christopher J Arthurs; Martin J Bishop; David Kay
Journal:  J Comput Phys       Date:  2012-05-20       Impact factor: 3.553

4.  GEMS: A Fully Integrated PETSc-Based Solver for Coupled Cardiac Electromechanics and Bidomain Simulations.

Authors:  Sander Arens; Hans Dierckx; Alexander V Panfilov
Journal:  Front Physiol       Date:  2018-10-16       Impact factor: 4.566

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.