Utility of bispectrum in the screening of pediatric sleep apnea-hypopnea syndrome using oximetry recordings

作者：Vaquerizo Villar Fernando^*; Alvarez Daniel; Kheirandish Gozal Leila; Cesar Gutierrez Tobal Gonzalo; Barroso Garcia Veronica; Crespo Andrea; del Campo Felix; Gozal David; Hornero Roberto

来源：Computer Methods and Programs in Biomedicine, 2018, 156: 141-149.

DOI：10.1016/j.cmpb.2017.12.020

• Sleep apnea-hypopnea syndrome (SAHS)
• Children
• Oximetry
• Bispectrum
• Feature selection
• Feature classification

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 apneahypopnea syndrome (SAHS).
Methods: 298 blood oxygen saturation (SpO 2) 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 SpO 2 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.

• 出版日期2018-3