HRV analysis: Undependability of approximate entropy at locating optimum complexity in malnourished children

Detalhes bibliográficos
Autor(a) principal: Garner, David M.
Data de Publicação: 2021
Outros Autores: Barreto, Gláucia S., Valenti, Vitor E. [UNESP], Vanderlei, Franciele M. [UNESP], Porto, Andrey A. [UNESP], Vanderlei, Luiz Carlos M. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1017/S1047951121002316
http://hdl.handle.net/11449/221809
Resumo: Introduction: Approximate Entropy is an extensively enforced metric to evaluate chaotic responses and irregularities of RR intervals sourced from an eletrocardiogram. However, to estimate their responses, it has one major problem - the accurate determination of tolerances and embedding dimensions. So, we aimed to overt this potential hazard by calculating numerous alternatives to detect their optimality in malnourished children. Materials and methods: We evaluated 70 subjects split equally: malnourished children and controls. To estimate autonomic modulation, the heart rate was measured lacking any physical, sensory or pharmacologic stimuli. In the time series attained, Approximate Entropy was computed for tolerance (0.1→0.5 in intervals of 0.1) and embedding dimension (1→5 in intervals of 1) and the statistical significances between the groups by their Cohen's d s and Hedges's g s were totalled. Results: The uppermost value of statistical significance accomplished for the effect sizes for any of the combinations was -0.2897 (Cohen's d s) and -0.2865 (Hedges's g s). This was achieved with embedding dimension = 5 and tolerance = 0.3. Conclusions: Approximate Entropy was able to identify a reduction in chaotic response via malnourished children. The best values of embedding dimension and tolerance of the Approximate Entropy to identify malnourished children were, respectively, embedding dimension = 5 and embedding tolerance = 0.3. Nevertheless, Approximate Entropy is still an unreliable mathematical marker to regulate this.
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spelling HRV analysis: Undependability of approximate entropy at locating optimum complexity in malnourished childrenautonomic nervous systemChild nutrition disordersembedding dimensionnonlinear dynamicstoleranceIntroduction: Approximate Entropy is an extensively enforced metric to evaluate chaotic responses and irregularities of RR intervals sourced from an eletrocardiogram. However, to estimate their responses, it has one major problem - the accurate determination of tolerances and embedding dimensions. So, we aimed to overt this potential hazard by calculating numerous alternatives to detect their optimality in malnourished children. Materials and methods: We evaluated 70 subjects split equally: malnourished children and controls. To estimate autonomic modulation, the heart rate was measured lacking any physical, sensory or pharmacologic stimuli. In the time series attained, Approximate Entropy was computed for tolerance (0.1→0.5 in intervals of 0.1) and embedding dimension (1→5 in intervals of 1) and the statistical significances between the groups by their Cohen's d s and Hedges's g s were totalled. Results: The uppermost value of statistical significance accomplished for the effect sizes for any of the combinations was -0.2897 (Cohen's d s) and -0.2865 (Hedges's g s). This was achieved with embedding dimension = 5 and tolerance = 0.3. Conclusions: Approximate Entropy was able to identify a reduction in chaotic response via malnourished children. The best values of embedding dimension and tolerance of the Approximate Entropy to identify malnourished children were, respectively, embedding dimension = 5 and embedding tolerance = 0.3. Nevertheless, Approximate Entropy is still an unreliable mathematical marker to regulate this.Cardiorespiratory Research Group Department of Biological and Medical Sciences Faculty of Health and Life Sciences Oxford Brookes University Headington Campus, Gipsy LaneFaculdade de Tecnologia Intensiva FATECI - FortalezaAutonomic Nervous System Center Sao Paulo State University UNESP, Av. Hygino Muzzi Filho, 737. MiranteDepartment of Physiotherapy Sao Paulo State University UNESPAutonomic Nervous System Center Sao Paulo State University UNESP, Av. Hygino Muzzi Filho, 737. MiranteDepartment of Physiotherapy Sao Paulo State University UNESPHeadington CampusFATECI - FortalezaUniversidade Estadual Paulista (UNESP)Garner, David M.Barreto, Gláucia S.Valenti, Vitor E. [UNESP]Vanderlei, Franciele M. [UNESP]Porto, Andrey A. [UNESP]Vanderlei, Luiz Carlos M. [UNESP]2022-04-28T19:40:45Z2022-04-28T19:40:45Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1017/S1047951121002316Cardiology in the Young.1467-11071047-9511http://hdl.handle.net/11449/22180910.1017/S10479511210023162-s2.0-85108262448Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengCardiology in the Younginfo:eu-repo/semantics/openAccess2022-04-28T19:40:45Zoai:repositorio.unesp.br:11449/221809Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:35:58.887046Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv HRV analysis: Undependability of approximate entropy at locating optimum complexity in malnourished children
title HRV analysis: Undependability of approximate entropy at locating optimum complexity in malnourished children
spellingShingle HRV analysis: Undependability of approximate entropy at locating optimum complexity in malnourished children
Garner, David M.
autonomic nervous system
Child nutrition disorders
embedding dimension
nonlinear dynamics
tolerance
title_short HRV analysis: Undependability of approximate entropy at locating optimum complexity in malnourished children
title_full HRV analysis: Undependability of approximate entropy at locating optimum complexity in malnourished children
title_fullStr HRV analysis: Undependability of approximate entropy at locating optimum complexity in malnourished children
title_full_unstemmed HRV analysis: Undependability of approximate entropy at locating optimum complexity in malnourished children
title_sort HRV analysis: Undependability of approximate entropy at locating optimum complexity in malnourished children
author Garner, David M.
author_facet Garner, David M.
Barreto, Gláucia S.
Valenti, Vitor E. [UNESP]
Vanderlei, Franciele M. [UNESP]
Porto, Andrey A. [UNESP]
Vanderlei, Luiz Carlos M. [UNESP]
author_role author
author2 Barreto, Gláucia S.
Valenti, Vitor E. [UNESP]
Vanderlei, Franciele M. [UNESP]
Porto, Andrey A. [UNESP]
Vanderlei, Luiz Carlos M. [UNESP]
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Headington Campus
FATECI - Fortaleza
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Garner, David M.
Barreto, Gláucia S.
Valenti, Vitor E. [UNESP]
Vanderlei, Franciele M. [UNESP]
Porto, Andrey A. [UNESP]
Vanderlei, Luiz Carlos M. [UNESP]
dc.subject.por.fl_str_mv autonomic nervous system
Child nutrition disorders
embedding dimension
nonlinear dynamics
tolerance
topic autonomic nervous system
Child nutrition disorders
embedding dimension
nonlinear dynamics
tolerance
description Introduction: Approximate Entropy is an extensively enforced metric to evaluate chaotic responses and irregularities of RR intervals sourced from an eletrocardiogram. However, to estimate their responses, it has one major problem - the accurate determination of tolerances and embedding dimensions. So, we aimed to overt this potential hazard by calculating numerous alternatives to detect their optimality in malnourished children. Materials and methods: We evaluated 70 subjects split equally: malnourished children and controls. To estimate autonomic modulation, the heart rate was measured lacking any physical, sensory or pharmacologic stimuli. In the time series attained, Approximate Entropy was computed for tolerance (0.1→0.5 in intervals of 0.1) and embedding dimension (1→5 in intervals of 1) and the statistical significances between the groups by their Cohen's d s and Hedges's g s were totalled. Results: The uppermost value of statistical significance accomplished for the effect sizes for any of the combinations was -0.2897 (Cohen's d s) and -0.2865 (Hedges's g s). This was achieved with embedding dimension = 5 and tolerance = 0.3. Conclusions: Approximate Entropy was able to identify a reduction in chaotic response via malnourished children. The best values of embedding dimension and tolerance of the Approximate Entropy to identify malnourished children were, respectively, embedding dimension = 5 and embedding tolerance = 0.3. Nevertheless, Approximate Entropy is still an unreliable mathematical marker to regulate this.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
2022-04-28T19:40:45Z
2022-04-28T19:40:45Z
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 http://dx.doi.org/10.1017/S1047951121002316
Cardiology in the Young.
1467-1107
1047-9511
http://hdl.handle.net/11449/221809
10.1017/S1047951121002316
2-s2.0-85108262448
url http://dx.doi.org/10.1017/S1047951121002316
http://hdl.handle.net/11449/221809
identifier_str_mv Cardiology in the Young.
1467-1107
1047-9511
10.1017/S1047951121002316
2-s2.0-85108262448
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Cardiology in the Young
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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
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