Nonlinear methods of heart rate variability analysis in diabetes

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dc.contributor.authorRicci Vitor, Ana Laura [UNESP]
dc.contributor.authorde Souza, Naiara Maria [UNESP]
dc.contributor.authorRegueiro Lorenconi, Roselene Modolo [UNESP]
dc.contributor.authorPastre, Carlos Marcelo [UNESP]
dc.contributor.authorAbreu, Luiz Carlos de [UNESP]
dc.contributor.authorValenti, Vitor Engrácia [UNESP]
dc.contributor.authorMarques Vanderlei, Luiz Carlos [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionFac Med ABC
dc.date.accessioned2014-05-20T13:31:32Z
dc.date.available2014-05-20T13:31:32Z
dc.date.issued2012-01-01
dc.description.abstractBackground: The autonomic dysfunction stands out among the complications associated to diabetes mellitus (DM) and may be evaluated through the heart rate variability (HRV), a noninvasive tool to investigate the autonomic nervous system that provides information of health impairments and may be analyzed by using linear and nonlinear methods. Several studies have shown that HRV measured in a linear form is altered in DM. Nevertheless, a few studies investigate the nonlinear behavior of HRV. Therefore, this study aims at gathering information regarding the autonomic changes in subjects with DM identified by nonlinear analysis of HRV.Methods: For that, searches were performed on Medline, SciELO, Lilacs and Cochrane databases using the crossing between the key-words: diabetic autonomic neuropathy, autonomic nervous system, diabetes mellitus and heart rate variability. As inclusion criteria, articles published on a period from 2000 to 2010 with DM type land type II population which assessed the autonomic nervous system by nonlinear indices HRV were considered.Results: The electronic search resulted in a total of 1873 references with the exclusion of 1623 titles and abstracts and from the 250 abstracts remaining, 8 studies were selected to the final analysis that completed the inclusion criteria.Conclusions: In general, the analysis showed that the nonlinear techniques of HRV allowed detecting autonomic changes in DM. The methods of nonlinear analysis are indicated as a possible tool to be used for early diagnosis and prognosis of autonomic dysfunction in DM.en
dc.description.affiliationUniv Estadual Paulista, UNESP, Dept Fisioterapia, FCT, Presidente Prudente, SP, Brazil
dc.description.affiliationFac Med ABC, Dept Morfol & Fisiol, Santo Andre, SP, Brazil
dc.description.affiliationUniv Estadual Paulista, UNESP, Fac Filosofia & Ciencias, Dept Fonoaudiol, Marilia, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, UNESP, Dept Fisioterapia, FCT, Presidente Prudente, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, UNESP, Fac Filosofia & Ciencias, Dept Fonoaudiol, Marilia, SP, Brazil
dc.format.extent2647-2653
dc.identifier.citationHealthmed. Sarajevo: Drunpp-sarajevo, v. 6, n. 8, p. 2647-2653, 2012.
dc.identifier.issn1840-2291
dc.identifier.lattes2761396544058606
dc.identifier.lattes5860525135106995
dc.identifier.urihttp://hdl.handle.net/11449/10737
dc.identifier.wosWOS:000310816500005
dc.language.isoeng
dc.publisherDrunpp-sarajevo
dc.relation.ispartofHealthmed
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectautonomic nervous systemen
dc.subjectdiabetic autonomic neuropathyen
dc.subjectdiabetes mellitusen
dc.titleNonlinear methods of heart rate variability analysis in diabetesen
dc.typeArtigo
dcterms.rightsHolderDrunpp-sarajevo
unesp.author.lattes2761396544058606[4]
unesp.author.lattes5860525135106995
unesp.author.orcid0000-0002-1891-3153[7]
unesp.author.orcid0000-0002-0213-6679[4]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências e Tecnologia, Presidente Prudentept
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Filosofia e Ciências, Maríliapt

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Artigos - Fisioterapia - FCT
Artigos - Fonoaudiologia - FFC