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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.authorGarcía Iglesias, Daniel
dc.contributor.authorRoqueñí Gutiérrez, María Nieves 
dc.contributor.authorCos Juez, Francisco Javier de 
dc.contributor.authorCalvo Cuervo, David
dc.date.accessioned2018-06-07T08:56:21Z
dc.date.available2018-06-07T08:56:21Z
dc.date.issued2018
dc.identifier.citationSensors, 18(2), p. 560- (2018); doi:10.3390/s18020560
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10651/47013
dc.format.extentp. 560-
dc.language.isoeng
dc.relationinfo:eu-repo/semantics/openAccess
dc.relation.ispartofSensors, 18
dc.rights© 2018 Daniel García Iglesias et al.
dc.rightsCC Reconocimiento 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85042160664&doi=10.3390%2fs18020560&partnerID=40&md5=d39715e4b61e9a1b8422bae50510ab8d
dc.titleAnalysis 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.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.3390/s18020560
dc.type.dcmitext
dc.relation.publisherversionhttp://dx.doi.org/10.3390/s18020560


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© 2018 Daniel García Iglesias et al.
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