Literature DB >> 9084837

A finite volume model of cardiac propagation.

D M Harrild1, C S Henriquez.   

Abstract

This paper describes a two-dimensional cardiac propagation model based on the finite volume method (FVM). This technique, originally derived and applied within the filed of computational fluid dynamics, is well suited to the investigation of conduction in cardiac electrophysiology. Specifically, the FVM permits the consideration of propagation in a realistic structure, subject to arbitrary fiber orientations and regionally defined properties. In this application of the FVM, an arbitrarily shaped domain is decomposed into a set of constitutive quadrilaterals. Calculations are performed in a computational space, in which the quadrilaterals are all represented simply as squares. Results are related to their physical-space equivalents by means of a transformation matrix. The method is applied to a number of cases. First, large-scale propagation is considered, in which a magnetic resonance-imaged cardiac cross-section serves as the governing geometry. Next, conduction is examined in the presence of an isthmus formed by the microvasculature in a slice of papillary muscle tissue. Under ischemic conditions, the safety factor for propagation is seen to be related to orientation of the fibers within the isthmus. Finally, conduction is studied in the presence of an inexcitable obstacle and a curved fiber field. This example illustrates the dramatic influence of the complex orientation of the fibers on the resulting activation pattern. The FVM provides a means of accurately modeling the cardiac structure and can help bridge the gap between computation and experiment in cardiac electrophysiology.

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Year:  1997        PMID: 9084837     DOI: 10.1007/bf02648046

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  9 in total

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Journal:  Med Biol Eng Comput       Date:  2003-11       Impact factor: 2.602

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5.  Solving the coupled system improves computational efficiency of the bidomain equations.

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Review 6.  From mitochondrial ion channels to arrhythmias in the heart: computational techniques to bridge the spatio-temporal scales.

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Journal:  Philos Trans A Math Phys Eng Sci       Date:  2008-09-28       Impact factor: 4.226

7.  Simulations of complex and microscopic models of cardiac electrophysiology powered by multi-GPU platforms.

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Journal:  Comput Math Methods Med       Date:  2012-11-25       Impact factor: 2.238

8.  Simulation of Ectopic Pacemakers in the Heart: Multiple Ectopic Beats Generated by Reentry inside Fibrotic Regions.

Authors:  Bruno Gouvêa de Barros; Rodrigo Weber dos Santos; Marcelo Lobosco; Sergio Alonso
Journal:  Biomed Res Int       Date:  2015-10-25       Impact factor: 3.411

9.  Simulating Cardiac Electrophysiology Using Unstructured All-Hexahedra Spectral Elements.

Authors:  Gianmauro Cuccuru; Giorgio Fotia; Fabio Maggio; James Southern
Journal:  Biomed Res Int       Date:  2015-10-25       Impact factor: 3.411

  9 in total

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