Ultra-short heart rate variability and Poincaré plots

Autores
Gallardo, Jose Manuel; Bellone, Giannina; Risk, Marcelo
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The short-term heart rate variability records of 5 minutes are currently considered very extensive compared to other indicators of health and well-being of people, such as body weight, blood glucose, blood pressure, etc. To find records of indicators less than 5 minutes, ultra-short heart rate variability, equivalent to the short-term heart rate variability, samples registers of 5 minutes is used to extract SS (stress score index) and S / PS (sympathetic/parasympathetic ratio) from the Poincaré diagram and correlate with the time and frequency domain of a group of subjects. To do this, the electrocardiographic signals were recorded for 300 seconds at rest then, the cardiotachograms (RR series) were calculated and used as a gold standard, and cardiotachogram were also calculated at intervals of 60, 90, 120, 180, and 240 seconds to perform the analysis of concordance with the gold standard. We use concordance analysis: Spearman, Bland, and Altman correlation, and Cliff´s delta. This study set out to, that the indicator S/PS -- proposed for the analysis of the autonomic balance -- could be regarded as an alternative for traditionally be used LF/HF (Low Frequency / High Frequency) of the frequency domain or SD21 (SD2 / SD1) of the graphic Poincaré domain. In addition, the SS times within records of 120 seconds, were equivalent to those of short-term HRV and S/PS of 90 seconds. This finding, while preliminary, suggests that a reduction in measurement times will make it possible to increase the use of heart rate variability analysis. In future investigations, it might be possible to use these indicators in different populations and use of different pre-processing methods.
Fil: Gallardo, Jose Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Unidad de Microanálisis y Métodos Físicos en Química Orgánica. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Unidad de Microanálisis y Métodos Físicos en Química Orgánica; Argentina. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina
Fil: Bellone, Giannina. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires". Instituto de Investigaciones Biomédicas. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Biomédicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología. Laboratorio de Cronobiología; Argentina
Fil: Risk, Marcelo. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Hospital Italiano. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional E Ingenieria Biomedica.; Argentina
Materia
HEART RATE VARIABILITY
ULTRA-SHORT HEART RATE VARIABILITY
POINCARE
SS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/182226

id CONICETDig_8b9e318416282de18bba5e0851b95b33
oai_identifier_str oai:ri.conicet.gov.ar:11336/182226
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Ultra-short heart rate variability and Poincaré plotsGallardo, Jose ManuelBellone, GianninaRisk, MarceloHEART RATE VARIABILITYULTRA-SHORT HEART RATE VARIABILITYPOINCARESShttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2The short-term heart rate variability records of 5 minutes are currently considered very extensive compared to other indicators of health and well-being of people, such as body weight, blood glucose, blood pressure, etc. To find records of indicators less than 5 minutes, ultra-short heart rate variability, equivalent to the short-term heart rate variability, samples registers of 5 minutes is used to extract SS (stress score index) and S / PS (sympathetic/parasympathetic ratio) from the Poincaré diagram and correlate with the time and frequency domain of a group of subjects. To do this, the electrocardiographic signals were recorded for 300 seconds at rest then, the cardiotachograms (RR series) were calculated and used as a gold standard, and cardiotachogram were also calculated at intervals of 60, 90, 120, 180, and 240 seconds to perform the analysis of concordance with the gold standard. We use concordance analysis: Spearman, Bland, and Altman correlation, and Cliff´s delta. This study set out to, that the indicator S/PS -- proposed for the analysis of the autonomic balance -- could be regarded as an alternative for traditionally be used LF/HF (Low Frequency / High Frequency) of the frequency domain or SD21 (SD2 / SD1) of the graphic Poincaré domain. In addition, the SS times within records of 120 seconds, were equivalent to those of short-term HRV and S/PS of 90 seconds. This finding, while preliminary, suggests that a reduction in measurement times will make it possible to increase the use of heart rate variability analysis. In future investigations, it might be possible to use these indicators in different populations and use of different pre-processing methods.Fil: Gallardo, Jose Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Unidad de Microanálisis y Métodos Físicos en Química Orgánica. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Unidad de Microanálisis y Métodos Físicos en Química Orgánica; Argentina. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; ArgentinaFil: Bellone, Giannina. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires". Instituto de Investigaciones Biomédicas. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Biomédicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología. Laboratorio de Cronobiología; ArgentinaFil: Risk, Marcelo. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Hospital Italiano. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional E Ingenieria Biomedica.; ArgentinaITI Research Group2021-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/182226Gallardo, Jose Manuel; Bellone, Giannina; Risk, Marcelo; Ultra-short heart rate variability and Poincaré plots; ITI Research Group; ParadigmPlus; 2; 3; 12-2021; 37-522711-4627CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://journals.itiud.org/index.php/paradigmplus/article/view/25info:eu-repo/semantics/altIdentifier/doi/10.55969/paradigmplus.v2n3a3info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:51:46Zoai:ri.conicet.gov.ar:11336/182226instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:51:46.594CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Ultra-short heart rate variability and Poincaré plots
title Ultra-short heart rate variability and Poincaré plots
spellingShingle Ultra-short heart rate variability and Poincaré plots
Gallardo, Jose Manuel
HEART RATE VARIABILITY
ULTRA-SHORT HEART RATE VARIABILITY
POINCARE
SS
title_short Ultra-short heart rate variability and Poincaré plots
title_full Ultra-short heart rate variability and Poincaré plots
title_fullStr Ultra-short heart rate variability and Poincaré plots
title_full_unstemmed Ultra-short heart rate variability and Poincaré plots
title_sort Ultra-short heart rate variability and Poincaré plots
dc.creator.none.fl_str_mv Gallardo, Jose Manuel
Bellone, Giannina
Risk, Marcelo
author Gallardo, Jose Manuel
author_facet Gallardo, Jose Manuel
Bellone, Giannina
Risk, Marcelo
author_role author
author2 Bellone, Giannina
Risk, Marcelo
author2_role author
author
dc.subject.none.fl_str_mv HEART RATE VARIABILITY
ULTRA-SHORT HEART RATE VARIABILITY
POINCARE
SS
topic HEART RATE VARIABILITY
ULTRA-SHORT HEART RATE VARIABILITY
POINCARE
SS
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The short-term heart rate variability records of 5 minutes are currently considered very extensive compared to other indicators of health and well-being of people, such as body weight, blood glucose, blood pressure, etc. To find records of indicators less than 5 minutes, ultra-short heart rate variability, equivalent to the short-term heart rate variability, samples registers of 5 minutes is used to extract SS (stress score index) and S / PS (sympathetic/parasympathetic ratio) from the Poincaré diagram and correlate with the time and frequency domain of a group of subjects. To do this, the electrocardiographic signals were recorded for 300 seconds at rest then, the cardiotachograms (RR series) were calculated and used as a gold standard, and cardiotachogram were also calculated at intervals of 60, 90, 120, 180, and 240 seconds to perform the analysis of concordance with the gold standard. We use concordance analysis: Spearman, Bland, and Altman correlation, and Cliff´s delta. This study set out to, that the indicator S/PS -- proposed for the analysis of the autonomic balance -- could be regarded as an alternative for traditionally be used LF/HF (Low Frequency / High Frequency) of the frequency domain or SD21 (SD2 / SD1) of the graphic Poincaré domain. In addition, the SS times within records of 120 seconds, were equivalent to those of short-term HRV and S/PS of 90 seconds. This finding, while preliminary, suggests that a reduction in measurement times will make it possible to increase the use of heart rate variability analysis. In future investigations, it might be possible to use these indicators in different populations and use of different pre-processing methods.
Fil: Gallardo, Jose Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Unidad de Microanálisis y Métodos Físicos en Química Orgánica. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Unidad de Microanálisis y Métodos Físicos en Química Orgánica; Argentina. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina
Fil: Bellone, Giannina. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires". Instituto de Investigaciones Biomédicas. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Biomédicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología. Laboratorio de Cronobiología; Argentina
Fil: Risk, Marcelo. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Hospital Italiano. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional E Ingenieria Biomedica.; Argentina
description The short-term heart rate variability records of 5 minutes are currently considered very extensive compared to other indicators of health and well-being of people, such as body weight, blood glucose, blood pressure, etc. To find records of indicators less than 5 minutes, ultra-short heart rate variability, equivalent to the short-term heart rate variability, samples registers of 5 minutes is used to extract SS (stress score index) and S / PS (sympathetic/parasympathetic ratio) from the Poincaré diagram and correlate with the time and frequency domain of a group of subjects. To do this, the electrocardiographic signals were recorded for 300 seconds at rest then, the cardiotachograms (RR series) were calculated and used as a gold standard, and cardiotachogram were also calculated at intervals of 60, 90, 120, 180, and 240 seconds to perform the analysis of concordance with the gold standard. We use concordance analysis: Spearman, Bland, and Altman correlation, and Cliff´s delta. This study set out to, that the indicator S/PS -- proposed for the analysis of the autonomic balance -- could be regarded as an alternative for traditionally be used LF/HF (Low Frequency / High Frequency) of the frequency domain or SD21 (SD2 / SD1) of the graphic Poincaré domain. In addition, the SS times within records of 120 seconds, were equivalent to those of short-term HRV and S/PS of 90 seconds. This finding, while preliminary, suggests that a reduction in measurement times will make it possible to increase the use of heart rate variability analysis. In future investigations, it might be possible to use these indicators in different populations and use of different pre-processing methods.
publishDate 2021
dc.date.none.fl_str_mv 2021-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/182226
Gallardo, Jose Manuel; Bellone, Giannina; Risk, Marcelo; Ultra-short heart rate variability and Poincaré plots; ITI Research Group; ParadigmPlus; 2; 3; 12-2021; 37-52
2711-4627
CONICET Digital
CONICET
url http://hdl.handle.net/11336/182226
identifier_str_mv Gallardo, Jose Manuel; Bellone, Giannina; Risk, Marcelo; Ultra-short heart rate variability and Poincaré plots; ITI Research Group; ParadigmPlus; 2; 3; 12-2021; 37-52
2711-4627
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://journals.itiud.org/index.php/paradigmplus/article/view/25
info:eu-repo/semantics/altIdentifier/doi/10.55969/paradigmplus.v2n3a3
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv ITI Research Group
publisher.none.fl_str_mv ITI Research Group
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844613590397485056
score 13.070432