Wavelet analysis of oximetry recordings to assist in the automated detection of moderate-to-severe pediatric sleep apnea-hypopnea syndrome-Reference-Cited by-同舟云学术

Wavelet analysis of oximetry recordings to assist in the automated detection of moderate-to-severe pediatric sleep apnea-hypopnea syndrome

Published:2018-12-07 Issue:12 Volume:13 Page:e0208502
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Vaquerizo-Villar Fernando^ORCID,Álvarez Daniel^ORCID,Kheirandish-Gozal Leila,Gutiérrez-Tobal Gonzalo C.,Barroso-García Verónica,Crespo Andrea,del Campo Félix^ORCID,Gozal David,Hornero Roberto

Funder

Ministerio de Ciencia, Innovación y Universidades

European Regional Development Fund

Consejería de Educación de la Junta de Castilla y León

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

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4. Effect of sleep-disordered breathing severity on cognitive performance measures in a large community cohort of young school-aged children;SJ Hunter;Am J Respir Crit Care Med,2016

5. The Role of Polysomnography in Diagnosing and Treating Obstructive Sleep Apnea in Pediatric Patients;GD Church;Curr Probl Pediatr Adolesc Health Care,2012

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