2026-04-14T18:10:19Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/802982026-03-25T08:42:19Zcom_10324_23459com_10324_954com_10324_894col_10324_23460

Vaquerizo Villar, Fernando Álvarez González, Daniel Kheirandish Gozal, Leila Gutierrez Tobal, Gonzalo César Barroso García, Verónica Crespo, Andrea Campo Matias, Félix del Gozal, David Hornero Sánchez, Roberto 2025-12-04T10:29:17Z 2025-12-04T10:29:17Z 2018 Computer Methods and Programs in Biomedicine, Marzo 2018, vol. 156, p. 141-149 0169-2607 https://uvadoc.uva.es/handle/10324/80298 10.1016/j.cmpb.2017.12.020 141 149 Computer Methods and Programs in Biomedicine 156 Producción Científica 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 (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. 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. application/pdf spa Elsevier info:eu-repo/semantics/restrictedAccess © 2017 Elsevier B.V. All rights reserved Sleep apnea-hypopnea syndrome (SAHS) Children Oximetry Bispectrum Feature selection Feature classification 1203.04 Inteligencia Artificial 3325 Tecnología de las Telecomunicaciones 3314 Tecnología Médica Utility of bispectrum in the screening of pediatric sleep apnea-hypopnea syndrome using oximetry recordings info:eu-repo/semantics/article info:eu-repo/semantics/draft https://www.sciencedirect.com/science/article/pii/S0169260717306429?via%3Dihub SI