A Fast Computational Model for the Electrophysiology of the Whole Human Heart

52 Pages Posted: 4 Dec 2021

See all articles by Giulio Del Corso

Giulio Del Corso

GSSI (Gran Sasso Science Institute)

Roberto Verzicco

GSSI (Gran Sasso Science Institute)

Francesco Viola

GSSI (Gran Sasso Science Institute)

Abstract

In this study we present a novel computational model for unprecedented simulations of the whole cardiac electrophysiology. According to the heterogeneous electrophysiologic properties of the heart, the whole cardiac geometry is decomposed into a set of coupled conductive media having different topology and electrical conductivities: (i) a network of slender bundles comprising a fast conduction atrial network, the AV–node and the ventricular bundles; (ii) the Purkinje network; and (iii) the atrial and ventricular myocardium. The propagation of the action potential in these conductive media is governed by the bidomain/monodomain equations, which are discretized in space using an in– house finite volume method and coupled to three different cellular models,  the Courtemanche model [1] for the atrial myocytes, the Stewart model [2] for the Purkinje Network and the ten Tusscher–Panfilov model [3] for the ventricular myocytes. The developed numerical model correctly reproduces the cardiac elec- trophysiology of the whole human heart in healthy and pathologic conditions and it can be tailored to study and optimize resynchronization therapies or in- vasive surgical procedures. Importantly, the whole solver is GPU–accelerated using CUDA Fortran providing an unprecedented speedup, thus opening the way for systematic parametric studies and uncertainty quantification analyses.

Keywords: electrophysiology, bidomain equations, heart modelling, GPU computing

Suggested Citation

Del Corso, Giulio and Verzicco, Roberto and Viola, Francesco, A Fast Computational Model for the Electrophysiology of the Whole Human Heart. Available at SSRN: https://ssrn.com/abstract=3977804 or http://dx.doi.org/10.2139/ssrn.3977804

Giulio Del Corso

GSSI (Gran Sasso Science Institute) ( email )

Italy

Roberto Verzicco

GSSI (Gran Sasso Science Institute) ( email )

Italy

Francesco Viola (Contact Author)

GSSI (Gran Sasso Science Institute) ( email )

Italy

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