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Approximate entropy normalized measures for analyzing social neurobiological systems

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dc.contributor.authorFonseca, Sofia
dc.contributor.authorMilho, João
dc.contributor.authorPassos, Pedro
dc.contributor.authorAraújo, Duarte
dc.contributor.authorDavids, Keith
dc.date.accessioned2015-09-07T09:26:39Z
dc.date.available2015-09-07T09:26:39Z
dc.date.issued2012
dc.description.abstractWhen considering time series data of variables describing agent interactions in social neurobiological systems, measures of regularity can provide a global understanding of such system behaviors. Approximate entropy (ApEn) was introduced as a nonlinear measure to assess the complexity of a system behavior by quantifying the regularity of the generated time series. However, ApEn is not reliable when assessing and comparing the regularity of data series with short or inconsistent lengths, which often occur in studies of social neurobiological systems, particularly in dyadic human movement systems. Here, the authors present two normalized, nonmodified measures of regularity derived from the original ApEn, which are less dependent on time series length. The validity of the suggested measures was tested in well-established series (random and sine) prior to their empirical application, describing the dyadic behavior of athletes in team games. The authors consider one of the ApEn normalized measures to generate the 95th percentile envelopes that can be used to test whether a particular social neurobiological system is highly complex (i.e., generates highly unpredictable time series). Results demonstrated that suggested measures may be considered as valid instruments for measuring and comparing complexity in systems that produce time series with inconsistent lengths.por
dc.identifier.citationFONSECA, Sofia, [et al] – Approximate entropy normalized measures for analyzing social neurobiological systems. Journal of Motor Behavior. ISSN: 0022-2895. Vol. 44, nr. 3 (2012), pp. 179-183por
dc.identifier.doi10.1080/00222895.2012.668233
dc.identifier.issn0022-2895
dc.identifier.urihttp://hdl.handle.net/10400.21/5065
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherRoutledge Journals, Taylor & Francis Ltdpor
dc.subjectAnalysis of Regularitypor
dc.subjectEntropy Measurespor
dc.subjectSocial Neurobiological Systemspor
dc.subjectTime Seriespor
dc.subjectTime-Series Analysis
dc.subjectSample Entropy
dc.subjectComplexity
dc.subjectBehavior
dc.subjectDynamics
dc.titleApproximate entropy normalized measures for analyzing social neurobiological systemspor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceOxfordshire
oaire.citation.endPage183por
oaire.citation.issue3por
oaire.citation.startPage179por
oaire.citation.titleJournal of Motor Behaviorpor
oaire.citation.volume44por
rcaap.rightsclosedAccesspor
rcaap.typearticlepor

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