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dc.contributor.authorGonçalves, B.S.B.-
dc.contributor.authorAdamowicz, Taísa-
dc.contributor.authorLouzada, Fernando Mazzilli-
dc.contributor.authorMoreno, Claudia Roberta-
dc.contributor.authorAraujo, John Fontenele-
dc.identifier.citationGONÇALVES, B. S. B. et al. A fresh look at the use of nonparametric analysis in actimetry. Sleep Medicine Reviews, v. 20, p. 84-91, 2015. ISSN 1532-2955. Disponível em: <>. Acesso em: 19 jun. 2018.pt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectFunctional modelpt_BR
dc.titleA fresh look at the use of nonparametric analysis in actimetrypt_BR
dc.description.resumoActimetry has been used to estimate the sleep–wake cycle instead of the rest-activity rhythm. Although algorithms for assessing sleep from actimetry data exist, it is useful to analyze the rest-activity rhythm using nonparametric methods. This would then allow rest-activity rhythm stability, fragmentation and amplitude to be quantified. In addition, sleep and wakefulness efficiency can be quantified separately. These variables have been used in studies analyzing the effect of age, diseases and their respective treatments on human circadian rhythmicity. In this study, we carried out a comprehensive analysis of the main results from published articles and devised a functional model of interaction among the several components involved in generating the sleep–wake cycle. The nonparametric variables render it possible to infer the main characteristics of circadian rhythms, such as synchronization with a zeitgeber, and its amplitude and robustnesspt_BR
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