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dc.contributor.authorEscrivá Muñoz, Jesús
dc.contributor.authorPan, Y.
dc.contributor.authorGe, S.
dc.contributor.authorJensen, Erik Weber
dc.contributor.authorVallverdú Ferrer, Montserrat
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2018-04-16T17:17:04Z
dc.date.available2018-04-16T17:17:04Z
dc.date.issued2018-10
dc.identifier.citationEscrivá, J., Pan, Y., Ge, S., Jensen, E.W., Vallverdu, M. Novel characterization method of impedance cardiography signals using time-frequency distributions. "Medical & biological engineering & computing", Octubre 2018, p. 1757-1770.
dc.identifier.issn1741-0444
dc.identifier.urihttp://hdl.handle.net/2117/116358
dc.description.abstractThe purpose of this document is to describe a methodology to select the most adequate time-frequency distribution (TFD) kernel for the characterization of impedance cardiography signals (ICG). The predominant ICG beat was extracted from a patient and was synthetized using time-frequency variant Fourier approximations. These synthetized signals were used to optimize several TFD kernels according to a performance maximization. The optimized kernels were tested for noise resistance on a clinical database. The resulting optimized TFD kernels are presented with their performance calculated using newly proposed methods. The procedure explained in this work showcases a new method to select an appropriate kernel for ICG signals and compares the performance of different time-frequency kernels found in the literature for the case of ICG signals. We conclude that, for ICG signals, the performance (P) of the spectrogram with either Hanning or Hamming windows (P¿=¿0.780) and the extended modified beta distribution (P¿=¿0.765) provided similar results, higher than the rest of analyzed kernels.
dc.format.extent14 p.
dc.language.isoeng
dc.publisherSpringer
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica::Electrònica en cardiologia
dc.subject.lcshElectrocardiography
dc.subject.lcshImpedance (Electricity)
dc.subject.lcshFourier analysis
dc.subject.otherImpedance cardiography
dc.subject.otherTime-frequency distributions
dc.titleNovel characterization method of impedance cardiography signals using time-frequency distributions
dc.typeArticle
dc.subject.lemacElectrocardiografia
dc.subject.lemacImpedància (Electricitat)
dc.subject.lemacFourier, Anàlisi de
dc.contributor.groupUniversitat Politècnica de Catalunya. B2SLab - Bioinformatics and Biomedical Signals Laboratory
dc.identifier.doi10.1007/s11517-017-1776-x
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s11517-017-1776-x
dc.rights.accessOpen Access
drac.iddocument22319381
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/AGAUR/PRI2010-2013/2014DI013
upcommons.citation.authorEscrivá, J., Pan, Y., Ge, S., Jensen, E.W., Vallverdu, M.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameMedical & biological engineering & computing
upcommons.citation.volume56
upcommons.citation.number10
upcommons.citation.startingPage1757
upcommons.citation.endingPage1770


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