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An Automata-Based Cardiac Electrophysiology Simulator to Assess Arrhythmia Inducibility

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An Automata-Based Cardiac Electrophysiology Simulator to Assess Arrhythmia Inducibility

dc.contributor.author	Sebastián Aguilar, Rafael
dc.contributor.author	Lozano Ibáñez, Miguel
dc.contributor.author	Liberos, Alejandro
dc.contributor.author	García Fernández, Ignacio
dc.contributor.author	Serra, Dolors
dc.contributor.author	Romero, Pau
dc.contributor.author	Rodrigo, Miguel
dc.contributor.author	Bueno Orovio, Alfonso
dc.contributor.author	Berruezo, Antonio
dc.date.accessioned	2023-05-15T09:59:22Z
dc.date.available	2023-05-15T09:59:22Z
dc.date.issued	2022
dc.identifier.citation	Sebastián Aguilar, Rafael Lozano Ibáñez, Miguel Liberos, Alejandro García Fernández, Ignacio Serra, Dolors Romero, Pau Rodrigo, Miguel Bueno Orovio, Alfonso Berruezo, Antonio 2022 An Automata-Based Cardiac Electrophysiology Simulator to Assess Arrhythmia Inducibility Mathematics 10 8 1 21
dc.identifier.uri	https://hdl.handle.net/10550/86593
dc.description.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.
dc.relation.ispartof	Mathematics, 2022, vol. 10, num. 8, p. 1-21
dc.subject	Informàtica
dc.title	An Automata-Based Cardiac Electrophysiology Simulator to Assess Arrhythmia Inducibility
dc.type	journal article
dc.date.updated	2023-05-15T09:59:23Z
dc.identifier.doi	10.3390/math10081293
dc.identifier.idgrec	158450
dc.rights.accessRights	open access