Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/10904
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dc.contributor.authorKaramanos, K.en
dc.contributor.authorNikolopoulos, S.en
dc.contributor.authorHizanidis, K.en
dc.contributor.authorManis, G.en
dc.contributor.authorAlexandridi, A.en
dc.contributor.authorNikolakeas, S.en
dc.date.accessioned2015-11-24T17:01:18Z-
dc.date.available2015-11-24T17:01:18Z-
dc.identifier.issn0218-1274-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/10904-
dc.rightsDefault Licence-
dc.subjectsymbolic dynamicsen
dc.subjectblock entropiesen
dc.subjectlumpingen
dc.subjectelectrocardiogramsen
dc.subjectheart rate variabilityen
dc.subjectsymbolic dynamicsen
dc.subjecttime-seriesen
dc.subjectsequencesen
dc.subjectdimensionen
dc.titleBlock entropy analysis of Heart Rate Variability signalsen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.publicationDate2006-
heal.abstractIn this paper we present a novel approach to the analysis of Heat Rate Variability (HRV) data, by coarse-graining analysis using the estimation of Block Entropies with the technique of lumping. HRV time series are generated from long recordings of Electrocardiograms (ECGs) and are then filtered in order to produce a coarse-grained symbolic dynamics. Block Entropy analysis is applied to these dynamics in order to examine its coarse-grained statistics. Our data set is comprised of two subsets, one of healthy subjects and another of Coronary Artery Disease (CAD) patients. It is found that Entropy analysis provides a quick and efficient tool for the differentiation of these series according to subject category. Healthy subjects provided more complex statistics compared to patients; specifically, the healthy data files provided higher values of block Entropies compared to patient ones. We also compare these results with the Correlation Dimension Estimation in order to establish coherency. We believe that this analysis may provide a useful statistical method towards the better understanding of the human cardiac system.en
heal.journalNameInternational Journal of Bifurcation and Chaosen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά)

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