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Article

An Automata-Based Cardiac Electrophysiology Simulator to Assess Arrhythmia Inducibility

by
Dolors Serra
1,
Pau Romero
1,
Ignacio Garcia-Fernandez
1,
Miguel Lozano
1,
Alejandro Liberos
1,
Miguel Rodrigo
1,
Alfonso Bueno-Orovio
2,
Antonio Berruezo
3 and
Rafael Sebastian
1,*,†
1
CoMMLab, Universitat de València, 46100 Valencia, Spain
2
Department of Computer Science, University of Oxford, Oxford OX1 3QD, UK
3
Cardiology Department, Heart Institute, Teknon Medical Center, 08022 Barcelona, Spain
*
Author to whom correspondence should be addressed.
†
Current address: Dto. Informática, ETSE-UV. Avda. de la Universidad s/n, 46100 Burjassot, Spain.
Mathematics 2022, 10(8), 1293; https://doi.org/10.3390/math10081293
Submission received: 11 February 2022 / Revised: 28 March 2022 / Accepted: 8 April 2022 / Published: 13 April 2022
(This article belongs to the Special Issue Development and Applications of Multi-Scale Mathematical Models in Cardiology)
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Abstract

Personalized cardiac electrophysiology simulations have demonstrated great potential to study cardiac arrhythmias and help in therapy planning of radio-frequency ablation. Its application to analyze vulnerability to ventricular tachycardia and sudden cardiac death in infarcted patients has been recently explored. However, the detailed multi-scale biophysical simulations used in these studies are very demanding in terms of memory and computational resources, which prevents their clinical translation. In this work, we present a fast phenomenological system based on cellular automata (CA) to simulate personalized cardiac electrophysiology. The system is trained on biophysical simulations to reproduce cellular and tissue dynamics in healthy and pathological conditions, including action potential restitution, conduction velocity restitution and cell safety factor. We show that a full ventricular simulation can be performed in the order of seconds, emulate the results of a biophysical simulation and reproduce a patient’s ventricular tachycardia in a model that includes a heterogeneous scar region. The system could be used to study the risk of arrhythmia in infarcted patients for a large number of scenarios.
Keywords: cellular automata; cardiac electrophysiology simulation; therapy planning; arrhythmia cellular automata; cardiac electrophysiology simulation; therapy planning; arrhythmia

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MDPI and ACS Style

Serra, D.; Romero, P.; Garcia-Fernandez, I.; Lozano, M.; Liberos, A.; Rodrigo, M.; Bueno-Orovio, A.; Berruezo, A.; Sebastian, R. An Automata-Based Cardiac Electrophysiology Simulator to Assess Arrhythmia Inducibility. Mathematics 2022, 10, 1293. https://doi.org/10.3390/math10081293

AMA Style

Serra D, Romero P, Garcia-Fernandez I, Lozano M, Liberos A, Rodrigo M, Bueno-Orovio A, Berruezo A, Sebastian R. An Automata-Based Cardiac Electrophysiology Simulator to Assess Arrhythmia Inducibility. Mathematics. 2022; 10(8):1293. https://doi.org/10.3390/math10081293

Chicago/Turabian Style

Serra, Dolors, Pau Romero, Ignacio Garcia-Fernandez, Miguel Lozano, Alejandro Liberos, Miguel Rodrigo, Alfonso Bueno-Orovio, Antonio Berruezo, and Rafael Sebastian. 2022. "An Automata-Based Cardiac Electrophysiology Simulator to Assess Arrhythmia Inducibility" Mathematics 10, no. 8: 1293. https://doi.org/10.3390/math10081293

APA Style

Serra, D., Romero, P., Garcia-Fernandez, I., Lozano, M., Liberos, A., Rodrigo, M., Bueno-Orovio, A., Berruezo, A., & Sebastian, R. (2022). An Automata-Based Cardiac Electrophysiology Simulator to Assess Arrhythmia Inducibility. Mathematics, 10(8), 1293. https://doi.org/10.3390/math10081293

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