Nonlinear analysis of heart rate variability within independent frequency components during the sleep–wake cycle

Autores
Vigo, Daniel Eduardo; Dominguez, Javier; Guinjoan, Salvador Martín; Scaramal, Mariano; Ruffa, Eduardo; Solernó, Juan; Nicola Siri, Leonardo Cristian; Cardinali, Daniel Pedro
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Heart rate variability (HRV) is a complex signal that results from the contribution of different sources of oscillation related to the autonomic nervous system activity. Although linear analysis of HRV has been applied to sleep studies, the nonlinear dynamics of HRV underlying frequency components during sleep is less known. We conducted a study to evaluate nonlinear HRV within independent frequency components in wake status, slow-wave sleep (SWS, stages III or IV of non-rapid eye movement sleep), and rapid-eye-movement sleep (REM). The sample included 10 healthy adults. Polysomnography was performed to detect sleep stages. HRV was studied globally during each phase and then very low frequency (VLF), low frequency (LF) and high frequency (HF) components were separated by means of the wavelet transform algorithm. HRV nonlinear dynamics was estimated with sample entropy (SampEn). A higher SampEn was found when analyzing global variability (Wake: 1.53+/-0.28, SWS: 1.76+/-0.32, REM: 1.45+/-0.19, p=0.005) and VLF variability (Wake: 0.13+/-0.03, SWS: 0.19+/-0.03, REM: 0.14+/-0.03, p<0.001) at SWS. REM was similar to wake status regarding nonlinear HRV. We propose nonlinear HRV is a useful index of the autonomic activity that characterizes the different sleep-wake cycle stages.
Fil: Vigo, Daniel Eduardo. Universidad de Buenos Aires. Facultad de Medicina. Departamento de Ciencias Fisiológicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Dominguez, Javier. Unidad Asistencial Doctor César Milstein; Argentina. Gobierno de la Ciudad de Buenos Aires. Instituto Nacional de Servicios Sociales para Jubilados y Pensionados; Argentina
Fil: Guinjoan, Salvador Martín. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Scaramal, Mariano. Universidad de Buenos Aires. Facultad de Medicina. Departamento de Ciencias Fisiológicas; Argentina
Fil: Ruffa, Eduardo. Universidad de Buenos Aires. Facultad de Medicina. Departamento de Ciencias Fisiológicas; Argentina
Fil: Solernó, Juan. Universidad de Buenos Aires. Facultad de Medicina. Departamento de Ciencias Fisiológicas; Argentina
Fil: Nicola Siri, Leonardo Cristian. Universidad Nacional de Entre Rios. Facultad de Ingeniería. Departamento de Biología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Cardinali, Daniel Pedro. Universidad de Buenos Aires. Facultad de Medicina. Departamento de Ciencias Fisiológicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Autonomic Nervous System
Heart Rate Variability
Nonlinear
Complexity
Wavelet Transform
Sleep Stages
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/16325
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/16325
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Nonlinear analysis of heart rate variability within independent frequency components during the sleep–wake cycleVigo, Daniel EduardoDominguez, JavierGuinjoan, Salvador MartínScaramal, MarianoRuffa, EduardoSolernó, JuanNicola Siri, Leonardo CristianCardinali, Daniel PedroAutonomic Nervous SystemHeart Rate VariabilityNonlinearComplexityWavelet TransformSleep Stageshttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3Heart rate variability (HRV) is a complex signal that results from the contribution of different sources of oscillation related to the autonomic nervous system activity. Although linear analysis of HRV has been applied to sleep studies, the nonlinear dynamics of HRV underlying frequency components during sleep is less known. We conducted a study to evaluate nonlinear HRV within independent frequency components in wake status, slow-wave sleep (SWS, stages III or IV of non-rapid eye movement sleep), and rapid-eye-movement sleep (REM). The sample included 10 healthy adults. Polysomnography was performed to detect sleep stages. HRV was studied globally during each phase and then very low frequency (VLF), low frequency (LF) and high frequency (HF) components were separated by means of the wavelet transform algorithm. HRV nonlinear dynamics was estimated with sample entropy (SampEn). A higher SampEn was found when analyzing global variability (Wake: 1.53+/-0.28, SWS: 1.76+/-0.32, REM: 1.45+/-0.19, p=0.005) and VLF variability (Wake: 0.13+/-0.03, SWS: 0.19+/-0.03, REM: 0.14+/-0.03, p<0.001) at SWS. REM was similar to wake status regarding nonlinear HRV. We propose nonlinear HRV is a useful index of the autonomic activity that characterizes the different sleep-wake cycle stages.Fil: Vigo, Daniel Eduardo. Universidad de Buenos Aires. Facultad de Medicina. Departamento de Ciencias Fisiológicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Dominguez, Javier. Unidad Asistencial Doctor César Milstein; Argentina. Gobierno de la Ciudad de Buenos Aires. Instituto Nacional de Servicios Sociales para Jubilados y Pensionados; ArgentinaFil: Guinjoan, Salvador Martín. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Scaramal, Mariano. Universidad de Buenos Aires. Facultad de Medicina. Departamento de Ciencias Fisiológicas; ArgentinaFil: Ruffa, Eduardo. Universidad de Buenos Aires. Facultad de Medicina. Departamento de Ciencias Fisiológicas; ArgentinaFil: Solernó, Juan. Universidad de Buenos Aires. Facultad de Medicina. Departamento de Ciencias Fisiológicas; ArgentinaFil: Nicola Siri, Leonardo Cristian. Universidad Nacional de Entre Rios. Facultad de Ingeniería. Departamento de Biología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Cardinali, Daniel Pedro. Universidad de Buenos Aires. Facultad de Medicina. Departamento de Ciencias Fisiológicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaElsevier Science2010-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/16325Vigo, Daniel Eduardo; Dominguez, Javier; Guinjoan, Salvador Martín; Scaramal, Mariano; Ruffa, Eduardo; et al.; Nonlinear analysis of heart rate variability within independent frequency components during the sleep–wake cycle; Elsevier Science; Autonomic Neuroscience.; 154; 1-2; 4-2010; 84-881566-0702enginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1566070209005384info:eu-repo/semantics/altIdentifier/doi/10.1016/j.autneu.2009.10.007info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:46:14Zoai:ri.conicet.gov.ar:11336/16325instacron: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:34982025-09-03 09:46:14.692CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Nonlinear analysis of heart rate variability within independent frequency components during the sleep–wake cycle
title Nonlinear analysis of heart rate variability within independent frequency components during the sleep–wake cycle
spellingShingle Nonlinear analysis of heart rate variability within independent frequency components during the sleep–wake cycle
Vigo, Daniel Eduardo
Autonomic Nervous System
Heart Rate Variability
Nonlinear
Complexity
Wavelet Transform
Sleep Stages
title_short Nonlinear analysis of heart rate variability within independent frequency components during the sleep–wake cycle
title_full Nonlinear analysis of heart rate variability within independent frequency components during the sleep–wake cycle
title_fullStr Nonlinear analysis of heart rate variability within independent frequency components during the sleep–wake cycle
title_full_unstemmed Nonlinear analysis of heart rate variability within independent frequency components during the sleep–wake cycle
title_sort Nonlinear analysis of heart rate variability within independent frequency components during the sleep–wake cycle
dc.creator.none.fl_str_mv Vigo, Daniel Eduardo
Dominguez, Javier
Guinjoan, Salvador Martín
Scaramal, Mariano
Ruffa, Eduardo
Solernó, Juan
Nicola Siri, Leonardo Cristian
Cardinali, Daniel Pedro
author Vigo, Daniel Eduardo
author_facet Vigo, Daniel Eduardo
Dominguez, Javier
Guinjoan, Salvador Martín
Scaramal, Mariano
Ruffa, Eduardo
Solernó, Juan
Nicola Siri, Leonardo Cristian
Cardinali, Daniel Pedro
author_role author
author2 Dominguez, Javier
Guinjoan, Salvador Martín
Scaramal, Mariano
Ruffa, Eduardo
Solernó, Juan
Nicola Siri, Leonardo Cristian
Cardinali, Daniel Pedro
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Autonomic Nervous System
Heart Rate Variability
Nonlinear
Complexity
Wavelet Transform
Sleep Stages
topic Autonomic Nervous System
Heart Rate Variability
Nonlinear
Complexity
Wavelet Transform
Sleep Stages
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Heart rate variability (HRV) is a complex signal that results from the contribution of different sources of oscillation related to the autonomic nervous system activity. Although linear analysis of HRV has been applied to sleep studies, the nonlinear dynamics of HRV underlying frequency components during sleep is less known. We conducted a study to evaluate nonlinear HRV within independent frequency components in wake status, slow-wave sleep (SWS, stages III or IV of non-rapid eye movement sleep), and rapid-eye-movement sleep (REM). The sample included 10 healthy adults. Polysomnography was performed to detect sleep stages. HRV was studied globally during each phase and then very low frequency (VLF), low frequency (LF) and high frequency (HF) components were separated by means of the wavelet transform algorithm. HRV nonlinear dynamics was estimated with sample entropy (SampEn). A higher SampEn was found when analyzing global variability (Wake: 1.53+/-0.28, SWS: 1.76+/-0.32, REM: 1.45+/-0.19, p=0.005) and VLF variability (Wake: 0.13+/-0.03, SWS: 0.19+/-0.03, REM: 0.14+/-0.03, p<0.001) at SWS. REM was similar to wake status regarding nonlinear HRV. We propose nonlinear HRV is a useful index of the autonomic activity that characterizes the different sleep-wake cycle stages.
Fil: Vigo, Daniel Eduardo. Universidad de Buenos Aires. Facultad de Medicina. Departamento de Ciencias Fisiológicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Dominguez, Javier. Unidad Asistencial Doctor César Milstein; Argentina. Gobierno de la Ciudad de Buenos Aires. Instituto Nacional de Servicios Sociales para Jubilados y Pensionados; Argentina
Fil: Guinjoan, Salvador Martín. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Scaramal, Mariano. Universidad de Buenos Aires. Facultad de Medicina. Departamento de Ciencias Fisiológicas; Argentina
Fil: Ruffa, Eduardo. Universidad de Buenos Aires. Facultad de Medicina. Departamento de Ciencias Fisiológicas; Argentina
Fil: Solernó, Juan. Universidad de Buenos Aires. Facultad de Medicina. Departamento de Ciencias Fisiológicas; Argentina
Fil: Nicola Siri, Leonardo Cristian. Universidad Nacional de Entre Rios. Facultad de Ingeniería. Departamento de Biología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Cardinali, Daniel Pedro. Universidad de Buenos Aires. Facultad de Medicina. Departamento de Ciencias Fisiológicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Heart rate variability (HRV) is a complex signal that results from the contribution of different sources of oscillation related to the autonomic nervous system activity. Although linear analysis of HRV has been applied to sleep studies, the nonlinear dynamics of HRV underlying frequency components during sleep is less known. We conducted a study to evaluate nonlinear HRV within independent frequency components in wake status, slow-wave sleep (SWS, stages III or IV of non-rapid eye movement sleep), and rapid-eye-movement sleep (REM). The sample included 10 healthy adults. Polysomnography was performed to detect sleep stages. HRV was studied globally during each phase and then very low frequency (VLF), low frequency (LF) and high frequency (HF) components were separated by means of the wavelet transform algorithm. HRV nonlinear dynamics was estimated with sample entropy (SampEn). A higher SampEn was found when analyzing global variability (Wake: 1.53+/-0.28, SWS: 1.76+/-0.32, REM: 1.45+/-0.19, p=0.005) and VLF variability (Wake: 0.13+/-0.03, SWS: 0.19+/-0.03, REM: 0.14+/-0.03, p<0.001) at SWS. REM was similar to wake status regarding nonlinear HRV. We propose nonlinear HRV is a useful index of the autonomic activity that characterizes the different sleep-wake cycle stages.
publishDate 2010
dc.date.none.fl_str_mv 2010-04
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/11336/16325
Vigo, Daniel Eduardo; Dominguez, Javier; Guinjoan, Salvador Martín; Scaramal, Mariano; Ruffa, Eduardo; et al.; Nonlinear analysis of heart rate variability within independent frequency components during the sleep–wake cycle; Elsevier Science; Autonomic Neuroscience.; 154; 1-2; 4-2010; 84-88
1566-0702
url http://hdl.handle.net/11336/16325
identifier_str_mv Vigo, Daniel Eduardo; Dominguez, Javier; Guinjoan, Salvador Martín; Scaramal, Mariano; Ruffa, Eduardo; et al.; Nonlinear analysis of heart rate variability within independent frequency components during the sleep–wake cycle; Elsevier Science; Autonomic Neuroscience.; 154; 1-2; 4-2010; 84-88
1566-0702
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1566070209005384
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.autneu.2009.10.007
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
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
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score 13.13397

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