RT info:eu-repo/semantics/article
T1 Utility of bispectrum in the screening of pediatric sleep apnea-hypopnea syndrome using oximetry recordings
A1 Vaquerizo-Villar, Fernando
A1 Álvarez, Daniel
A1 Kheirandish-Gozal, Leila
A1 Gutiérrez-Tobal, Gonzalo César
A1 Barroso-García, Verónica
A1 Crespo, Andrea
A1 del Campo, Félix
A1 Gozal, David
A1 Hornero, Roberto
K1 Sleep apnea-hypopnea syndrome (SAHS)
K1 Children
K1 Oximetry
K1 Bispectrum
K1 Feature selection
K1 Feature classification
K1 1203.04 Inteligencia Artificial
K1 3325 Tecnología de las Telecomunicaciones
K1 3314 Tecnología Médica
AB Background and objectiveThe aim of this study was to assess the utility of bispectrum-based oximetry approaches as a complementary tool to traditional techniques in the screening of pediatric sleep apnea-hypopnea syndrome (SAHS).Methods298 blood oxygen saturation (SpO2) signals from children ranging 0–13 years of age were recorded during overnight polysomnography (PSG). These recordings were divided into three severity groups according to the PSG-derived apnea hypopnea index (AHI): AHI < 5 events per hour (e/h), 5 ≤ AHI < 10 e/h, AHI ≥ 10 e/h. For each pediatric subject, anthropometric variables, 3% oxygen desaturation index (ODI3) and spectral features from power spectral density (PSD) and bispectrum were obtained. Then, the fast correlation-based filter (FCBF) was applied to select a subset of relevant features that may be complementary, excluding those that are redundant. The selected features fed a multiclass multi-layer perceptron (MLP) neural network to build a model to estimate the SAHS severity degrees.ResultsAn optimum subset with features from all the proposed methodological approaches was obtained: variables from bispectrum, as well as PSD, ODI3, Age, and Sex. In the 3-class classification task, the MLP model trained with these features achieved an accuracy of 76.0% and a Cohen's kappa of 0.56 in an independent test set. Additionally, high accuracies were reached using the AHI cutoffs for diagnosis of moderate (AHI = 5 e/h) and severe (AHI = 10 e/h) SAHS: 81.3% and 85.3%, respectively. These results outperformed the diagnostic ability of a MLP model built without using bispectral features.ConclusionsOur results suggest that bispectrum provides additional information to anthropometric variables, ODI3 and PSD regarding characterization of changes in the SpO2 signal caused by respiratory events. Thus, oximetry bispectrum can be a useful tool to provide complementary information for screening of moderate-to-severe pediatric SAHS.
PB Elsevier
SN 0169-2607
YR 2018
FD 2018-03
LK https://uvadoc.uva.es/handle/10324/80298
UL https://uvadoc.uva.es/handle/10324/80298
LA spa
NO Computer Methods and Programs in Biomedicine, Marzo 2018, vol. 156, p. 141-149
NO Producción Científica
DS UVaDOC
RD 11-ene-2026