Investigation of Correlation Dimension estimation in heartbeat time series

dc.contributor.authorNikolopoulos, S.en
dc.contributor.authorManis, G.en
dc.contributor.authorAlexandridi, A.en
dc.date.accessioned2015-11-24T17:01:23Z
dc.date.available2015-11-24T17:01:23Z
dc.identifier.issn0218-1274-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/10916
dc.rightsDefault Licence-
dc.subjectheart rate variabilityen
dc.subjectcorrelation dimensionen
dc.subjectnonlinear analysisen
dc.subjectlong recording electrocardiogramsen
dc.subjectsmall data setsen
dc.subjectrate-variabilityen
dc.subjectnonlinear dynamicsen
dc.subjectsurrogate dataen
dc.subjectreconstructionen
dc.subjectnoiseen
dc.subjectalgorithmen
dc.subjectexponentsen
dc.titleInvestigation of Correlation Dimension estimation in heartbeat time seriesen
heal.abstractThe Correlation Dimension estimation is an especially sensitive method which allows for important information to be extracted from the signal under investigation. However, due to its sensitivity, its parameters as well as details of the application process must be chosen carefully and customized to each specific problem. In this paper, we examine the application of the Correlation Dimension estimation in the case of heart rate variability signals. Specifically, we investigate issues which are not discussed in other similar studies or which are chosen differently, such as the use of the Euclidean norm and the Theiler window. We also document with detail the method of data acquisition and make a case for the importance of proper recordings the lack of which leads to controversial results.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.journalNameInternational Journal of Bifurcation and Chaosen
heal.journalTypepeer reviewed-
heal.languageen-
heal.publicationDate2006-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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