Literature DB >> 7927397

A collocation--Galerkin finite element model of cardiac action potential propagation.

J M Rogers1, A D McCulloch.   

Abstract

A new computational method was developed for modeling the effects of the geometric complexity, nonuniform muscle fiber orientation, and material inhomogeneity of the ventricular wall on cardiac impulse propagation. The method was used to solve a modification to the FitzHugh-Nagumo system of equations. The geometry, local muscle fiber orientation, and material parameters of the domain were defined using linear Lagrange or cubic Hermite finite element interpolation. Spatial variations of time-dependent excitation and recovery variables were approximated using cubic Hermite finite element interpolation, and the governing finite element equations were assembled using the collocation method. To overcome the deficiencies of conventional collocation methods on irregular domains, Galerkin equations for the no-flux boundary conditions were used instead of collocation equations for the boundary degrees-of-freedom. The resulting system was evolved using an adaptive Runge-Kutta method. Converged two-dimensional simulations of normal propagation showed that this method requires less CPU time than a traditional finite difference discretization. The model also reproduced several other physiologic phenomena known to be important in arrhythmogenesis including: Wenckebach periodicity, slowed propagation and unidirectional block due to wavefront curvature, reentry around a fixed obstacle, and spiral wave reentry. In a new result, we observed wavespeed variations and block due to nonuniform muscle fiber orientation. The findings suggest that the finite element method is suitable for studying normal and pathological cardiac activation and has significant advantages over existing techniques.

Mesh:

Year:  1994        PMID: 7927397     DOI: 10.1109/10.310090

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


  39 in total

1.  Two-dimensional Chebyshev pseudospectral modelling of cardiac propagation.

Authors:  Z Zhan; K T Ng
Journal:  Med Biol Eng Comput       Date:  2000-05       Impact factor: 2.602

2.  Three-dimensional pseudospectral modelling of cardiac propagation in an inhomogeneous anisotropic tissue.

Authors:  K T Ng; R Yan
Journal:  Med Biol Eng Comput       Date:  2003-11       Impact factor: 2.602

Review 3.  Computational modeling of the human atrial anatomy and electrophysiology.

Authors:  Olaf Dössel; Martin W Krueger; Frank M Weber; Mathias Wilhelms; Gunnar Seemann
Journal:  Med Biol Eng Comput       Date:  2012-06-21       Impact factor: 2.602

Review 4.  Modeling defibrillation of the heart: approaches and insights.

Authors:  Natalia Trayanova; Jason Constantino; Takashi Ashihara; Gernot Plank
Journal:  IEEE Rev Biomed Eng       Date:  2011

5.  Modeling Cardiovascular Anatomy from Patient-Specific Imaging Data.

Authors:  Chandrajit Bajaj; Samrat Goswami
Journal:  Comput Methods Appl Sci       Date:  2009-01-01

6.  Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology.

Authors:  Jwala Dhamala; Hermenegild J Arevalo; John Sapp; B Milan Horácek; Katherine C Wu; Natalia A Trayanova; Linwei Wang
Journal:  Med Image Anal       Date:  2018-05-17       Impact factor: 8.545

7.  A framework for biomechanics simulations using four-chamber cardiac models.

Authors:  Arian Jafari; Edward Pszczolkowski; Adarsh Krishnamurthy
Journal:  J Biomech       Date:  2019-05-21       Impact factor: 2.712

8.  Automatically generated, anatomically accurate meshes for cardiac electrophysiology problems.

Authors:  Anton J Prassl; Ferdinand Kickinger; Helmut Ahammer; Vicente Grau; Jürgen E Schneider; Ernst Hofer; Edward J Vigmond; Natalia A Trayanova; Gernot Plank
Journal:  IEEE Trans Biomed Eng       Date:  2009-02-06       Impact factor: 4.538

9.  Effects of biventricular pacing and scar size in a computational model of the failing heart with left bundle branch block.

Authors:  Roy C P Kerckhoffs; Andrew D McCulloch; Jeffrey H Omens; Lawrence J Mulligan
Journal:  Med Image Anal       Date:  2008-07-04       Impact factor: 8.545

10.  Change in conduction velocity due to fiber curvature in cultured neonatal rat ventricular myocytes.

Authors:  Elliot B Bourgeois; Vladimir G Fast; Rueben L Collins; James D Gladden; Jack M Rogers
Journal:  IEEE Trans Biomed Eng       Date:  2008-10-31       Impact factor: 4.538

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