Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/15115
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dc.contributor.authorBajić, Draganaen
dc.contributor.authorLončar-Turukalo, Tatjanaen
dc.contributor.authorŠibarević O.en
dc.date.accessioned2020-03-03T14:58:37Z-
dc.date.available2020-03-03T14:58:37Z-
dc.date.issued2005-01-01en
dc.identifier.issn3547310en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/15115-
dc.description.abstractHeart rate variability analysis represents one of the most promising and the most commonly used quantitative measures of the cardiovascular autonomic regulatory system. The analysis includes traditional statistical analytical tools and a number of new methods based on nonlinear system theory, recently developed to give better insight into complex HR. This paper introduces a direct sequential analysis. © 2005, Institute of Oncology Sremska Kamenica.en
dc.relation.ispartofArchive of Oncologyen
dc.titleOn direct sequential analysis of heart rate variability signalsen
dc.typeJournal/Magazine Articleen
dc.identifier.doi10.2298/AOO0501035Ben
dc.identifier.scopus2-s2.0-27644561857en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/27644561857en
dc.relation.lastpage40en
dc.relation.firstpage35en
dc.relation.issue1en
dc.relation.volume13en
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptFakultet tehničkih nauka, Departman za energetiku, elektroniku i telekomunikacije-
crisitem.author.deptFakultet tehničkih nauka, Departman za energetiku, elektroniku i telekomunikacije-
crisitem.author.parentorgFakultet tehničkih nauka-
crisitem.author.parentorgFakultet tehničkih nauka-
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