Analysis of the high-frequency content in human qrs complexes by the continuous wavelet transform: An automatized analysis for the prediction of sudden cardiac death

dc.contributor.author	García Iglesias, Daniel
dc.contributor.author	Roqueñí Gutiérrez, María Nieves
dc.contributor.author	Cos Juez, Francisco Javier de
dc.contributor.author	Calvo Cuervo, David
dc.date.accessioned	2018-06-07T08:56:21Z
dc.date.available	2018-06-07T08:56:21Z
dc.date.issued	2018
dc.identifier.citation	Sensors, 18(2), p. 560- (2018); doi:10.3390/s18020560
dc.identifier.issn	1424-8220
dc.identifier.uri	http://hdl.handle.net/10651/47013
dc.format.extent	p. 560-
dc.language.iso	eng
dc.relation.ispartof	Sensors, 18
dc.rights	© 2018 Daniel García Iglesias et al.
dc.rights	CC Reconocimiento 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042160664&doi=10.3390%2fs18020560&partnerID=40&md5=d39715e4b61e9a1b8422bae50510ab8d
dc.title	Analysis of the high-frequency content in human qrs complexes by the continuous wavelet transform: An automatized analysis for the prediction of sudden cardiac death
dc.type	journal article
dc.identifier.doi	10.3390/s18020560
dc.relation.publisherversion	http://dx.doi.org/10.3390/s18020560
dc.rights.accessRights	open access

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