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bioRxiv · 10.1101/2025.06.21.660878

Computational Modeling and Visualization of Ischemic Effects on an Advanced Purkinje Network

Khan, L.·Khan, M.·Ahmed, R.·Ahmad, M.·Lac, J.
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Abstract

The cardiac Purkinje network plays a vital role in the hearts electrical conduction system, ensuring efficient and synchronized ventricular contraction. When impaired--particularly by ischemia--it can trigger life-threatening arrhythmias. In this study, we present an advanced computational model of the Purkinje network that integrates cell-level heterogeneity, spatial organization, and localized ischemic zones with customizable severity gradients. Developed in Python using open-source libraries (NumPy, matplotlib, pandas, seaborn), the model generates rich visualizations of network structure, conduction velocities, ischemia severity, and electrophysiological parameters. Simulations demonstrate how ischemia alters conduction and refractoriness in a spatially dependent manner, providing insights into arrhythmogenic risk. This modeling framework can advance understanding of cardiac conduction under pathological conditions and support therapeutic development.

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Khan, L., Khan, M., Ahmed, R., Ahmad, M., Lac, J.. 2025-06-26. Computational Modeling and Visualization of Ischemic Effects on an Advanced Purkinje Network. https://doi.org/10.1101/2025.06.21.660878

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