Nonlinear methods of heart rate variability analysis in diabetes

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dc.contributor.authorVitor, Ana Laura Ricci [UNESP]
dc.contributor.authorde Souza, Naiara Maria [UNESP]
dc.contributor.authorLorenconi, Roselene Modolo Regueiro [UNESP]
dc.contributor.authorPastre, Carlos Marcelo [UNESP]
dc.contributor.authorde Abreu, Luiz Carlos
dc.contributor.authorValenti, Vitor Engracia [UNESP]
dc.contributor.authorVanderlei, Luiz Carlos Marques [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionFaculdade de Medicina do ABC
dc.date.accessioned2022-04-29T05:49:34Z
dc.date.available2022-04-29T05:49:34Z
dc.date.issued2012-11-05
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 I and 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.affiliationDepartamento de Fisioterapia Faculdade de Ciências e Tecnologia da Universidade Estadual Paulista - UNESP, Presidente Prudente, SP
dc.description.affiliationDepartamento de Morfologia e Fisiologia Faculdade de Medicina do ABC, Santo André, SP
dc.description.affiliationDepartamento de Fonoaudiologia Faculdade de Filosofia e Ciências da Universidade Estadual Paulista - UNESP, Marília, SP
dc.description.affiliationUnespDepartamento de Fisioterapia Faculdade de Ciências e Tecnologia da Universidade Estadual Paulista - UNESP, Presidente Prudente, SP
dc.description.affiliationUnespDepartamento de Fonoaudiologia Faculdade de Filosofia e Ciências da Universidade Estadual Paulista - UNESP, Marília, SP
dc.format.extent2647-2653
dc.identifier.citationHealthMED, v. 6, n. 8, p. 2647-2653, 2012.
dc.identifier.issn1840-2291
dc.identifier.scopus2-s2.0-84868109133
dc.identifier.urihttp://hdl.handle.net/11449/227022
dc.language.isoeng
dc.relation.ispartofHealthMED
dc.sourceScopus
dc.subjectAutonomic nervous system
dc.subjectDiabetes mellitus
dc.subjectDiabetic autonomic neuropathy
dc.titleNonlinear methods of heart rate variability analysis in diabetesen
dc.typeArtigo

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Artigos - Fisioterapia - FCT
Artigos - Fonoaudiologia - FFC