Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/4856
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorSmall, M-
dc.creatorYu, D-
dc.creatorHarrison, RG-
dc.date.accessioned2014-12-11T08:24:58Z-
dc.date.available2014-12-11T08:24:58Z-
dc.identifier.issn0031-9007-
dc.identifier.urihttp://hdl.handle.net/10397/4856-
dc.language.isoenen_US
dc.publisherAmerican Physical Societyen_US
dc.rightsPhysical Review Letters © 2001 The American Physical Society. The Journal's web site is located at http://prl.aps.org/en_US
dc.subjectAlgorithmsen_US
dc.subjectApproximation theoryen_US
dc.subjectComputer simulationen_US
dc.subjectElectrocardiographyen_US
dc.subjectMathematical modelsen_US
dc.subjectRandom processesen_US
dc.subjectVectorsen_US
dc.subjectWhite acoustic noiseen_US
dc.titleSurrogate test for pseudoperiodic time series dataen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1-
dc.identifier.epage4-
dc.identifier.volume87-
dc.identifier.issue18-
dc.identifier.doi10.1103/PhysRevLett.87.188101-
dcterms.abstractFor time series exhibiting strong periodicities, standard (linear) surrogate methods are not useful. We describe a new algorithm that can test against the null hypothesis of a periodic orbit with uncorrelated noise. We demonstrate the application of this method to artificial data and experimental time series, including human electrocardiogram recordings during sinus rhythm and ventricular tachycardia.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationPhysical review letters, 29 Oct. 2001, v. 87, no. 18, 188101, p. 1-4-
dcterms.isPartOfPhysical review letters-
dcterms.issued2001-10-29-
dc.identifier.isiWOS:000171909500062-
dc.identifier.scopus2-s2.0-0035968844-
dc.identifier.eissn1079-7114-
dc.identifier.rosgroupidr09530-
dc.description.ros2001-2002 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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