Modeling of the excitation propagation of the human heart

This study presents a computational model for simulating excitation propagation in the human heart using a Monodomain reaction-diffusion framework coupled with the Aliev-Panfilov model for the ionic reaction term. The objective is to address the Forward Problem in cardiac electrophysiology by modeling how electrical activation initiated at the conduction system propagates through the myocardium. Cellular and tissue-level dynamics are integrated using diffusion tensor imaging (DTI)-derived anisotropy and conduction network structures. Two conduction system models are evaluated, one based on trabecular muscle anatomy and another using diffusion volume (DV) metrics. Numerical simulations demonstrate activation isochrones comparable to experimental data from Durrer et al., highlighting the model's validity in capturing realistic ventricular excitation patterns. Visualization was achieved using OpenGL-based C/C++ simulations.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.17385494
Primary Topic
Cardiac electrophysiology and arrhythmias
Type
article
Field-Weighted Citation Impact
0.00
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article

Modeling of the excitation propagation of the human heart

Zenodo (CERN European Organization for Nuclear Research)
Cardiac electrophysiology and arrhythmias
article

Modeling of the excitation propagation of the human heart

article en

Abstract

This study presents a computational model for simulating excitation propagation in the human heart using a Monodomain reaction-diffusion framework coupled with the Aliev-Panfilov model for the ionic reaction term. The objective is to address the Forward Problem in cardiac electrophysiology by modeling how electrical activation initiated at the conduction system propagates through the myocardium. Cellular and tissue-level dynamics are integrated using diffusion tensor imaging (DTI)-derived anisotropy and conduction network structures. Two conduction system models are evaluated, one based on trabecular muscle anatomy and another using diffusion volume (DV) metrics. Numerical simulations demonstrate activation isochrones comparable to experimental data from Durrer et al., highlighting the model's validity in capturing realistic ventricular excitation patterns. Visualization was achieved using OpenGL-based C/C++ simulations.

Zenodo (CERN European Organization for Nuclear Research)
Qatar University (QA)
Industry, innovation and infrastructure
Openalex Percentile: Top 36%
Cardiac electrophysiology and arrhythmias
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