Poster: Quantification of correlations between sleep spindles in EEG for patients with sleep apnea

Detalhes bibliográficos
Autor(a) principal: De Souza, Rafael Toledo F. [UNESP]
Data de Publicação: 2013
Outros Autores: Filho, Jose Luiz Rybarczyk [UNESP], Lemke, Ney [UNESP], Schonwald, Suzana V., De Santa-Helena, Emerson L., Gerhardt, Gunther J. L.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/ICCABS.2013.6629210
http://hdl.handle.net/11449/227344
Resumo: Obstructive Sleep Apnea (OSA) is a pathological condition characterized by repeated episodes of interruption in the upper airways ventilation (apnea and hipoapnea) during [1]. This pathology affects 4% of men and 2% of women of working age [1]. In electroencephalographic studies, sleep spindle is an element strongly associated to OSA and certainly the most studied graphoelement in the sleep study. Sleep spindles are oscillations defined by the appearance and disappearance of spindle waves between 12-14Hz at sequential intervals of 0.5-2 seconds. The purpose of this study was to analyze the percentage of correlations between different channels in electroencephalographic examinations in normal and (mild) OSA subjects. © 2013 IEEE.
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spelling Poster: Quantification of correlations between sleep spindles in EEG for patients with sleep apneaObstructive Sleep Apnea (OSA) is a pathological condition characterized by repeated episodes of interruption in the upper airways ventilation (apnea and hipoapnea) during [1]. This pathology affects 4% of men and 2% of women of working age [1]. In electroencephalographic studies, sleep spindle is an element strongly associated to OSA and certainly the most studied graphoelement in the sleep study. Sleep spindles are oscillations defined by the appearance and disappearance of spindle waves between 12-14Hz at sequential intervals of 0.5-2 seconds. The purpose of this study was to analyze the percentage of correlations between different channels in electroencephalographic examinations in normal and (mild) OSA subjects. © 2013 IEEE.Departamento de Física e Biofísica UNESP-Univ Estadual Paulista IBB, BotucatuLaboratório Do Sono Divisão de Medicina Pulmonar Hospital de Clínicas de Porto Alegre, Porto AlegreDepartamento de Física Universidade Federal de Sergipe, SergipeDepartamento de Física e Química Universidade de Caxias Do sul, Caxias do SulDepartamento de Física e Biofísica UNESP-Univ Estadual Paulista IBB, BotucatuUniversidade Estadual Paulista (UNESP)Hospital de Clínicas de Porto AlegreUniversidade Federal de Sergipe (UFS)Universidade de Caxias Do sulDe Souza, Rafael Toledo F. [UNESP]Filho, Jose Luiz Rybarczyk [UNESP]Lemke, Ney [UNESP]Schonwald, Suzana V.De Santa-Helena, Emerson L.Gerhardt, Gunther J. L.2022-04-29T07:12:47Z2022-04-29T07:12:47Z2013-12-09info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/ICCABS.2013.66292102013 IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2013.http://hdl.handle.net/11449/22734410.1109/ICCABS.2013.66292102-s2.0-84889056563Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2013 IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2013info:eu-repo/semantics/openAccess2022-04-29T07:12:47Zoai:repositorio.unesp.br:11449/227344Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:21:07.276111Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Poster: Quantification of correlations between sleep spindles in EEG for patients with sleep apnea
title Poster: Quantification of correlations between sleep spindles in EEG for patients with sleep apnea
spellingShingle Poster: Quantification of correlations between sleep spindles in EEG for patients with sleep apnea
De Souza, Rafael Toledo F. [UNESP]
title_short Poster: Quantification of correlations between sleep spindles in EEG for patients with sleep apnea
title_full Poster: Quantification of correlations between sleep spindles in EEG for patients with sleep apnea
title_fullStr Poster: Quantification of correlations between sleep spindles in EEG for patients with sleep apnea
title_full_unstemmed Poster: Quantification of correlations between sleep spindles in EEG for patients with sleep apnea
title_sort Poster: Quantification of correlations between sleep spindles in EEG for patients with sleep apnea
author De Souza, Rafael Toledo F. [UNESP]
author_facet De Souza, Rafael Toledo F. [UNESP]
Filho, Jose Luiz Rybarczyk [UNESP]
Lemke, Ney [UNESP]
Schonwald, Suzana V.
De Santa-Helena, Emerson L.
Gerhardt, Gunther J. L.
author_role author
author2 Filho, Jose Luiz Rybarczyk [UNESP]
Lemke, Ney [UNESP]
Schonwald, Suzana V.
De Santa-Helena, Emerson L.
Gerhardt, Gunther J. L.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Hospital de Clínicas de Porto Alegre
Universidade Federal de Sergipe (UFS)
Universidade de Caxias Do sul
dc.contributor.author.fl_str_mv De Souza, Rafael Toledo F. [UNESP]
Filho, Jose Luiz Rybarczyk [UNESP]
Lemke, Ney [UNESP]
Schonwald, Suzana V.
De Santa-Helena, Emerson L.
Gerhardt, Gunther J. L.
description Obstructive Sleep Apnea (OSA) is a pathological condition characterized by repeated episodes of interruption in the upper airways ventilation (apnea and hipoapnea) during [1]. This pathology affects 4% of men and 2% of women of working age [1]. In electroencephalographic studies, sleep spindle is an element strongly associated to OSA and certainly the most studied graphoelement in the sleep study. Sleep spindles are oscillations defined by the appearance and disappearance of spindle waves between 12-14Hz at sequential intervals of 0.5-2 seconds. The purpose of this study was to analyze the percentage of correlations between different channels in electroencephalographic examinations in normal and (mild) OSA subjects. © 2013 IEEE.
publishDate 2013
dc.date.none.fl_str_mv 2013-12-09
2022-04-29T07:12:47Z
2022-04-29T07:12:47Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/ICCABS.2013.6629210
2013 IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2013.
http://hdl.handle.net/11449/227344
10.1109/ICCABS.2013.6629210
2-s2.0-84889056563
url http://dx.doi.org/10.1109/ICCABS.2013.6629210
http://hdl.handle.net/11449/227344
identifier_str_mv 2013 IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2013.
10.1109/ICCABS.2013.6629210
2-s2.0-84889056563
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2013 IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2013
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)
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