Nonlinear methods of heart rate variability analysis in diabetes
Autor(a) principal: | |
---|---|
Data de Publicação: | 2012 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/227022 |
Resumo: | Background: 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. |
id |
UNSP_4bc746d37b634e378ff6c2f434373ffa |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/227022 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
Nonlinear methods of heart rate variability analysis in diabetesAutonomic nervous systemDiabetes mellitusDiabetic autonomic neuropathyBackground: 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.Departamento de Fisioterapia Faculdade de Ciências e Tecnologia da Universidade Estadual Paulista - UNESP, Presidente Prudente, SPDepartamento de Morfologia e Fisiologia Faculdade de Medicina do ABC, Santo André, SPDepartamento de Fonoaudiologia Faculdade de Filosofia e Ciências da Universidade Estadual Paulista - UNESP, Marília, SPDepartamento de Fisioterapia Faculdade de Ciências e Tecnologia da Universidade Estadual Paulista - UNESP, Presidente Prudente, SPDepartamento de Fonoaudiologia Faculdade de Filosofia e Ciências da Universidade Estadual Paulista - UNESP, Marília, SPUniversidade Estadual Paulista (UNESP)Faculdade de Medicina do ABCVitor, Ana Laura Ricci [UNESP]de Souza, Naiara Maria [UNESP]Lorenconi, Roselene Modolo Regueiro [UNESP]Pastre, Carlos Marcelo [UNESP]de Abreu, Luiz CarlosValenti, Vitor Engracia [UNESP]Vanderlei, Luiz Carlos Marques [UNESP]2022-04-29T05:49:34Z2022-04-29T05:49:34Z2012-11-05info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article2647-2653HealthMED, v. 6, n. 8, p. 2647-2653, 2012.1840-2291http://hdl.handle.net/11449/2270222-s2.0-84868109133Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengHealthMEDinfo:eu-repo/semantics/openAccess2022-04-29T05:49:34Zoai:repositorio.unesp.br:11449/227022Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-29T05:49:34Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Nonlinear methods of heart rate variability analysis in diabetes |
title |
Nonlinear methods of heart rate variability analysis in diabetes |
spellingShingle |
Nonlinear methods of heart rate variability analysis in diabetes Vitor, Ana Laura Ricci [UNESP] Autonomic nervous system Diabetes mellitus Diabetic autonomic neuropathy |
title_short |
Nonlinear methods of heart rate variability analysis in diabetes |
title_full |
Nonlinear methods of heart rate variability analysis in diabetes |
title_fullStr |
Nonlinear methods of heart rate variability analysis in diabetes |
title_full_unstemmed |
Nonlinear methods of heart rate variability analysis in diabetes |
title_sort |
Nonlinear methods of heart rate variability analysis in diabetes |
author |
Vitor, Ana Laura Ricci [UNESP] |
author_facet |
Vitor, Ana Laura Ricci [UNESP] de Souza, Naiara Maria [UNESP] Lorenconi, Roselene Modolo Regueiro [UNESP] Pastre, Carlos Marcelo [UNESP] de Abreu, Luiz Carlos Valenti, Vitor Engracia [UNESP] Vanderlei, Luiz Carlos Marques [UNESP] |
author_role |
author |
author2 |
de Souza, Naiara Maria [UNESP] Lorenconi, Roselene Modolo Regueiro [UNESP] Pastre, Carlos Marcelo [UNESP] de Abreu, Luiz Carlos Valenti, Vitor Engracia [UNESP] Vanderlei, Luiz Carlos Marques [UNESP] |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Faculdade de Medicina do ABC |
dc.contributor.author.fl_str_mv |
Vitor, Ana Laura Ricci [UNESP] de Souza, Naiara Maria [UNESP] Lorenconi, Roselene Modolo Regueiro [UNESP] Pastre, Carlos Marcelo [UNESP] de Abreu, Luiz Carlos Valenti, Vitor Engracia [UNESP] Vanderlei, Luiz Carlos Marques [UNESP] |
dc.subject.por.fl_str_mv |
Autonomic nervous system Diabetes mellitus Diabetic autonomic neuropathy |
topic |
Autonomic nervous system Diabetes mellitus Diabetic autonomic neuropathy |
description |
Background: 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. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-11-05 2022-04-29T05:49:34Z 2022-04-29T05:49:34Z |
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.uri.fl_str_mv |
HealthMED, v. 6, n. 8, p. 2647-2653, 2012. 1840-2291 http://hdl.handle.net/11449/227022 2-s2.0-84868109133 |
identifier_str_mv |
HealthMED, v. 6, n. 8, p. 2647-2653, 2012. 1840-2291 2-s2.0-84868109133 |
url |
http://hdl.handle.net/11449/227022 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
HealthMED |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
2647-2653 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799964581715509248 |