Utility of bispectrum in the screening of pediatric sleep apnea-hypopnea syndrome using oximetry recordings. (March 2018)

• Record Type: Journal Article
• Authors: Vaquerizo-Villar, Fernando; Álvarez, Daniel; Kheirandish-Gozal, Leila; Gutiérrez-Tobal, Gonzalo César; Barroso-García, Verónica; Crespo, Andrea; del Campo, Félix; Gozal, David; Hornero, Roberto
• Is Part Of: Computer methods and programs in biomedicine. Volume 156(2018)
• Page Start: 141
• Page End: 149
• Publication Date: 2018-03
• Subjects: Sleep apnea-hypopnea syndrome (SAHS) -- Children -- Oximetry -- Bispectrum -- Feature selection -- Feature classification; Medicine -- Computer programs -- Periodicals; Biology -- Computer programs -- Periodicals; Computers -- Periodicals; Medicine -- Periodicals; Médecine -- Logiciels -- Périodiques; Biologie -- Logiciels -- Périodiques; Biology -- Computer programs; Medicine -- Computer programs; Periodicals; Electronic journals; 610.28
• DOI: 10.1016/j.cmpb.2017.12.020
• Languages: English
• ISSNs: 0169-2607

Abstract

Highlights: In this study, the usefulness of oximetry bispectrum to detect pediatricsleep apnea-hypopnea syndrome (SAHS) is assessed. A multi-layer perceptron (MLP) model built with conventional features and bispectrum achieved high diagnostic performance. Our results suggest that bispectrum provides additional information of changes in the blood oxygen saturation signal. Oximetry bispectrum can provide complementary information for the screening of moderate-to-severe pediatric SAHS. Abstract: Background and objective: The 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). Methods: 298 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 ( ODI 3) 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. Results: An 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. Conclusions: Our 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.