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Inverse estimation of terminal connections in the cardiac conduction system

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Inverse estimation of terminal connections in the cardiac conduction system

dc.contributor.author	Barber Miralles, Fernando
dc.contributor.author	Lozano Ibáñez, Miguel
dc.contributor.author	García-Fernández, Ignacio
dc.contributor.author	Sebastián Aguilar, Rafael
dc.date.accessioned	2017-10-03T14:27:57Z
dc.date.available	2018-01-16T05:45:05Z
dc.date.issued	2018
dc.identifier.citation	Barber Miralles, Fernando Lozano Ibáñez, Miguel García Fernández, Ignacio Sebastián Aguilar, Rafael 2017 Inverse estimation of terminal connections in the cardiac conduction system Mathematical Methods in the Applied Sciences
dc.identifier.uri	http://hdl.handle.net/10550/61300
dc.description.abstract	Modeling the cardiac conduction system is a challenging problem in the context of computational cardiac electrophysiology. Its ventricular section, the Purkinje system, is responsible for triggering tissue electrical activation at discrete terminal locations, which subsequently spreads throughout the ventricles. In this paper, we present an algorithm that is capable of estimating the location of the Purkinje system triggering points from a set of random measurements on tissue. We present the properties and the performance of the algorithm under controlled synthetic scenarios. Results show that the method is capable of locating most of the triggering points in scenarios with a fair ratio between terminals and measurements. When the ratio is low, the method can locate the terminals with major impact in the overall activation map. Mean absolute errors obtained indicate that solutions provided by the algorithm are useful to accurately simulate a complete patient ventricular activation map.
dc.language.iso	eng
dc.relation.ispartof	Mathematical Methods in the Applied Sciences, 2018, Vol. 41, Iss. 6, pp. 2340-2349
dc.subject	Sistema cardiovascular
dc.subject	Simulació per ordinador
dc.title	Inverse estimation of terminal connections in the cardiac conduction system
dc.type	journal article	es_ES
dc.date.updated	2017-10-03T14:27:57Z
dc.identifier.doi	10.1002/mma.4280
dc.identifier.idgrec	116209
dc.embargo.terms	12 months
dc.rights.accessRights	open access	es_ES