Automated analysis of nocturnal oximetry as screening tool for childhood obstructive sleep apnea-hypopnea syndrome

Producción Científica

Detalles Bibliográficos
Autores: Álvarez González, Daniel, Kheirandish Gozal, Leila, Gutierrez Tobal, Gonzalo César, Hornero Sánchez, Roberto
Tipo de recurso: artículo
Fecha de publicación:2015
País:España
Institución:Universidad de Valladolid
Repositorio:UVaDOC. Repositorio Documental de la Universidad de Valladolid
OAI Identifier:oai:uvadoc.uva.es:10324/21718
Acceso en línea:https://doi.org/10.1109/EMBC.2015.7318973
http://uvadoc.uva.es/handle/10324/21718
Access Level:acceso abierto
Palabra clave:Sleep Apnea-Hypopnea Syndrome
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spelling Automated analysis of nocturnal oximetry as screening tool for childhood obstructive sleep apnea-hypopnea syndromeÁlvarez González, DanielKheirandish Gozal, LeilaGutierrez Tobal, Gonzalo CésarHornero Sánchez, RobertoSleep Apnea-Hypopnea SyndromeProducción CientíficaChildhood obstructive sleep apnea-hypopnea syndrome (OSAHS) is a highly prevalent condition that negatively affects health, performance and quality of life of infants and young children. Early detection and treatment improves neuropsychological and cognitive deficits linked with the disease. The aim of this study was to assess the performance of automated analysis of blood oxygen saturation (SpO2) recordings as a screening tool for OSAHS. As an initial step, statistical, spectral and nonlinear features were estimated to compose an initial feature set. Then, fast correlation-based filter (FCBF) was applied to search for the optimum subset. Finally, the discrimination power (OSAHS negative vs. OSAHS positive) of three pattern recognition algorithms was assessed: linear discriminant analysis (LDA), quadratic discriminant analysis (QDA) and logistic regression (LR). Three clinical cutoff points commonly used in the literature for positive diagnosis of the disease were applied: apnea-hypopnea index (AHI) of 1, 3 and 5 events per hour (e/h). Our methodology reached 88.6% accuracy (71.4% sensitivity and 100.0% specificity, 100.0% positive predictive value, and 84.0% negative predictive value) in an independent test set using QDA for a clinical cut-off point of 5 e/h. These results suggest that SpO2 nocturnal recordings may be used to develop a reliable and efficient screening tool for childhood OSAHSJunta de Castilla y León (project VA059U13)IEEE Conference Publications2015info:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.1109/EMBC.2015.7318973http://uvadoc.uva.es/handle/10324/21718reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolidinstname:Universidad de ValladolidIngléshttp://ieeexplore.ieee.org/servlet/opac?punumber=1000269info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/oai:uvadoc.uva.es:10324/217182026-06-13T12:44:47Z
dc.title.none.fl_str_mv Automated analysis of nocturnal oximetry as screening tool for childhood obstructive sleep apnea-hypopnea syndrome
title Automated analysis of nocturnal oximetry as screening tool for childhood obstructive sleep apnea-hypopnea syndrome
spellingShingle Automated analysis of nocturnal oximetry as screening tool for childhood obstructive sleep apnea-hypopnea syndrome
Álvarez González, Daniel
Sleep Apnea-Hypopnea Syndrome
title_short Automated analysis of nocturnal oximetry as screening tool for childhood obstructive sleep apnea-hypopnea syndrome
title_full Automated analysis of nocturnal oximetry as screening tool for childhood obstructive sleep apnea-hypopnea syndrome
title_fullStr Automated analysis of nocturnal oximetry as screening tool for childhood obstructive sleep apnea-hypopnea syndrome
title_full_unstemmed Automated analysis of nocturnal oximetry as screening tool for childhood obstructive sleep apnea-hypopnea syndrome
title_sort Automated analysis of nocturnal oximetry as screening tool for childhood obstructive sleep apnea-hypopnea syndrome
dc.creator.none.fl_str_mv Álvarez González, Daniel
Kheirandish Gozal, Leila
Gutierrez Tobal, Gonzalo César
Hornero Sánchez, Roberto
author Álvarez González, Daniel
author_facet Álvarez González, Daniel
Kheirandish Gozal, Leila
Gutierrez Tobal, Gonzalo César
Hornero Sánchez, Roberto
author_role author
author2 Kheirandish Gozal, Leila
Gutierrez Tobal, Gonzalo César
Hornero Sánchez, Roberto
author2_role author
author
author
dc.subject.none.fl_str_mv Sleep Apnea-Hypopnea Syndrome
topic Sleep Apnea-Hypopnea Syndrome
description Producción Científica
publishDate 2015
dc.date.none.fl_str_mv 2015
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://doi.org/10.1109/EMBC.2015.7318973
http://uvadoc.uva.es/handle/10324/21718
url https://doi.org/10.1109/EMBC.2015.7318973
http://uvadoc.uva.es/handle/10324/21718
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://ieeexplore.ieee.org/servlet/opac?punumber=1000269
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE Conference Publications
publisher.none.fl_str_mv IEEE Conference Publications
dc.source.none.fl_str_mv reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolid
instname:Universidad de Valladolid
instname_str Universidad de Valladolid
reponame_str UVaDOC. Repositorio Documental de la Universidad de Valladolid
collection UVaDOC. Repositorio Documental de la Universidad de Valladolid
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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