A fresh look at the use of nonparametric analysis in actimetry

Detalhes bibliográficos
Autor(a) principal: Gonçalves, B.S.B.
Data de Publicação: 2015
Outros Autores: Adamowicz, Taísa, Louzada, Fernando Mazzilli, Moreno, Claudia Roberta, Araujo, John Fontenele
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/jspui/handle/123456789/26057
Resumo: Actimetry 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 robustness
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spelling Gonçalves, B.S.B.Adamowicz, TaísaLouzada, Fernando MazzilliMoreno, Claudia RobertaAraujo, John Fontenele2018-10-25T16:18:41Z2018-10-25T16:18:41Z2015-04GONÇALVES, 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: <https://www.sciencedirect.com/science/article/pii/S1087079214000665?via%3Dihub>. Acesso em: 19 jun. 2018.1532-2955https://repositorio.ufrn.br/jspui/handle/123456789/26057engCircadianFunctional modelSleepFragmentationSynchronizationAmplitudeRest-activityA fresh look at the use of nonparametric analysis in actimetryinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleActimetry 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 robustnessinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALFreshLookNonparametricAnalysis_Goncalves_2015.pdfFreshLookNonparametricAnalysis_Goncalves_2015.pdfapplication/pdf545099https://repositorio.ufrn.br/bitstream/123456789/26057/1/FreshLookNonparametricAnalysis_Goncalves_2015.pdfd3127126dc3fad127036388ee71ae08cMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.ufrn.br/bitstream/123456789/26057/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52TEXTFreshLookNonparametricAnalysis_2015.pdf.txtFreshLookNonparametricAnalysis_2015.pdf.txtExtracted texttext/plain47981https://repositorio.ufrn.br/bitstream/123456789/26057/3/FreshLookNonparametricAnalysis_2015.pdf.txtefed36d064a0b74373d47e167a42a361MD53THUMBNAILFreshLookNonparametricAnalysis_2015.pdf.jpgFreshLookNonparametricAnalysis_2015.pdf.jpgIM Thumbnailimage/jpeg9016https://repositorio.ufrn.br/bitstream/123456789/26057/4/FreshLookNonparametricAnalysis_2015.pdf.jpg064e54aa574f8ef1acf08d967dc25436MD54123456789/260572021-11-10 15:11:53.485oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2021-11-10T18:11:53Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv A fresh look at the use of nonparametric analysis in actimetry
title A fresh look at the use of nonparametric analysis in actimetry
spellingShingle A fresh look at the use of nonparametric analysis in actimetry
Gonçalves, B.S.B.
Circadian
Functional model
Sleep
Fragmentation
Synchronization
Amplitude
Rest-activity
title_short A fresh look at the use of nonparametric analysis in actimetry
title_full A fresh look at the use of nonparametric analysis in actimetry
title_fullStr A fresh look at the use of nonparametric analysis in actimetry
title_full_unstemmed A fresh look at the use of nonparametric analysis in actimetry
title_sort A fresh look at the use of nonparametric analysis in actimetry
author Gonçalves, B.S.B.
author_facet Gonçalves, B.S.B.
Adamowicz, Taísa
Louzada, Fernando Mazzilli
Moreno, Claudia Roberta
Araujo, John Fontenele
author_role author
author2 Adamowicz, Taísa
Louzada, Fernando Mazzilli
Moreno, Claudia Roberta
Araujo, John Fontenele
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Gonçalves, B.S.B.
Adamowicz, Taísa
Louzada, Fernando Mazzilli
Moreno, Claudia Roberta
Araujo, John Fontenele
dc.subject.por.fl_str_mv Circadian
Functional model
Sleep
Fragmentation
Synchronization
Amplitude
Rest-activity
topic Circadian
Functional model
Sleep
Fragmentation
Synchronization
Amplitude
Rest-activity
description Actimetry 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 robustness
publishDate 2015
dc.date.issued.fl_str_mv 2015-04
dc.date.accessioned.fl_str_mv 2018-10-25T16:18:41Z
dc.date.available.fl_str_mv 2018-10-25T16:18:41Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv GONÇALVES, 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: <https://www.sciencedirect.com/science/article/pii/S1087079214000665?via%3Dihub>. Acesso em: 19 jun. 2018.
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/jspui/handle/123456789/26057
dc.identifier.issn.none.fl_str_mv 1532-2955
identifier_str_mv GONÇALVES, 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: <https://www.sciencedirect.com/science/article/pii/S1087079214000665?via%3Dihub>. Acesso em: 19 jun. 2018.
1532-2955
url https://repositorio.ufrn.br/jspui/handle/123456789/26057
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRN
instname:Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
instname_str Universidade Federal do Rio Grande do Norte (UFRN)
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reponame_str Repositório Institucional da UFRN
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