Nonlinear methods of heart rate variability analysis in diabetes

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorFaculdade de Medicina do ABC-
Autor(es): dc.creatorVitor, Ana Laura Ricci-
Autor(es): dc.creatorde Souza, Naiara Maria-
Autor(es): dc.creatorLorenconi, Roselene Modolo Regueiro-
Autor(es): dc.creatorPastre, Carlos Marcelo-
Autor(es): dc.creatorde Abreu, Luiz Carlos-
Autor(es): dc.creatorValenti, Vitor Engracia-
Autor(es): dc.creatorVanderlei, Luiz Carlos Marques-
Data de aceite: dc.date.accessioned2025-08-21T16:15:57Z-
Data de disponibilização: dc.date.available2025-08-21T16:15:57Z-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2012-11-05-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/227022-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/227022-
Descrição: dc.descriptionBackground: 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.-
Descrição: dc.descriptionDepartamento de Fisioterapia Faculdade de Ciências e Tecnologia da Universidade Estadual Paulista - UNESP, Presidente Prudente, SP-
Descrição: dc.descriptionDepartamento de Morfologia e Fisiologia Faculdade de Medicina do ABC, Santo André, SP-
Descrição: dc.descriptionDepartamento de Fonoaudiologia Faculdade de Filosofia e Ciências da Universidade Estadual Paulista - UNESP, Marília, SP-
Descrição: dc.descriptionDepartamento de Fisioterapia Faculdade de Ciências e Tecnologia da Universidade Estadual Paulista - UNESP, Presidente Prudente, SP-
Descrição: dc.descriptionDepartamento de Fonoaudiologia Faculdade de Filosofia e Ciências da Universidade Estadual Paulista - UNESP, Marília, SP-
Formato: dc.format2647-2653-
Idioma: dc.languageen-
Relação: dc.relationHealthMED-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectAutonomic nervous system-
Palavras-chave: dc.subjectDiabetes mellitus-
Palavras-chave: dc.subjectDiabetic autonomic neuropathy-
Título: dc.titleNonlinear methods of heart rate variability analysis in diabetes-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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