Electrocardiographic Fragmented Activity (II): A Machine Learning Approach to Detection

dc.contributor.author	Melgarejo-Meseguer, Francisco-Manuel
dc.contributor.author	Gimeno-Blanes, Juan-Ramón
dc.contributor.author	Salar-Alcaraz, María-Eladia
dc.contributor.author	Gimeno-Blanes, Juan-Ramón
dc.contributor.author	Martínez-Sánchez, Juan
dc.contributor.author	García-Alberola, Arcadio
dc.contributor.author	Rojo-Álvarez, José-Luis
dc.date.accessioned	2026-01-22T07:38:41Z
dc.date.available	2026-01-22T07:38:41Z
dc.date.issued	2019-09-01
dc.identifier.citation	Melgarejo-Meseguer FM, Gimeno-Blanes FJ, Salar-Alcaraz ME, Gimeno-Blanes JR, Martínez-Sánchez J, García-Alberola A, et al. Electrocardiographic Fragmented Activity (II): A Machine Learning Approach to Detection. Applied Sciences. 31 de agosto de 2019;9(17):3565.
dc.identifier.uri	https://sms.carm.es/ricsmur/handle/123456789/23995
dc.language.iso	eng
dc.publisher	MDPI
dc.rights	Atribución/Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional
dc.rights.uri	https://creativecommons.org/licenses/by-nc-sa/4.0/deed.es	*
dc.title	Electrocardiographic Fragmented Activity (II): A Machine Learning Approach to Detection
dc.type	info:eu-repo/semantics/article
dc.relation.publisherversion	https://www.mdpi.com/2076-3417/9/17/3565
dc.type.version	info:eu-repo/semantics/publishedVersion
dc.identifier.doi	10.3390/app9173565
dc.journal.title	Applied Sciences-Basel
dc.identifier.essn	2076-3417