RT info:eu-repo/semantics/article
T1 Assessment of airflow and oximetry signals to detect pediatric sleep apnea-hypopnea syndrome using AdaBoost
A1 Jiménez García, Jorge
A1 Gutiérrez Tobal, Gonzalo César
A1 García Gadañón, María
A1 Kheirandish Gozal, Leila
A1 Martín Montero, Adrián
A1 Álvarez, Daniel
A1 Campo Matias, Félix del
A1 Gozal, David
A1 Hornero Sánchez, Roberto
K1 Pediatría
K1 Pneumology/Respiratory System
K1 Sleep apnea–hypopnea syndrome
K1 Oximetry
K1 AdaBoost
K1 Airflow
K1 Síndrome de apnea-hipopnea del sueño
K1 Oximetría
K1 Flujo de aire
K1 32 Ciencias Médicas
AB The reference standard to diagnose pediatric Obstructive Sleep Apnea (OSA) syndrome is an overnight polysomnographic evaluation. When polysomnography is either unavailable or has limited availability, OSA screening may comprise the automatic analysis of a minimum number of signals. The primary objective of this study was to evaluate the complementarity of airflow (AF) and oximetry (SpO2) signals to automatically detect pediatric OSA. Additionally, a secondary goal was to assess the utility of a multiclass AdaBoost classifier to predict OSA severity in children. We extracted the same features from AF and SpO2 signals from 974 pediatric subjects. We also obtained the 3% Oxygen Desaturation Index (ODI) as a common clinically used variable. Then, feature selection was conducted using the Fast Correlation-Based Filter method and AdaBoost classifiers were evaluated. Models combining ODI 3% and AF features outperformed the diagnostic performance of each signal alone, reaching 0.39 Cohens’s kappa in the four-class classification task. OSA vs. No OSA accuracies reached 81.28%, 82.05% and 90.26% in the apnea–hypopnea index cutoffs 1, 5 and 10 events/h, respectively. The most relevant information from SpO2 was redundant with ODI 3%, and AF was complementary to them. Thus, the joint analysis of AF and SpO2 enhanced the diagnostic performance of each signal alone using AdaBoost, thereby enabling a potential screening alternative for OSA in children.
PB MDPI
YR 2020
FD 2020
LK https://uvadoc.uva.es/handle/10324/58999
UL https://uvadoc.uva.es/handle/10324/58999
LA eng
NO Entropy, 2020, vol. 22, n. 6, 670
NO Producción Científica
DS UVaDOC
RD 23-nov-2024