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oai:uvadoc.uva.es:10324/217142025-02-20T11:50:55Zcom_10324_1191com_10324_931com_10324_894col_10324_1379

Statistical and Nonlinear Analysis of Oximetry from Respiratory Polygraphy to Assist in the Diagnosis of Sleep Apnea in Children Álvarez González, Daniel Gutierrez Tobal, Gonzalo César Alonso Álvarez, María Luz Terán Santos, Joaquín Campo Matias, Félix del Hornero Sánchez, Roberto Sleep Apnea in Children Producción Científica Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) is a sleep related breathing disorder that has important consequences in the health and development of infants and young children. To enhance the early detection of OSAHS, we propose a methodology based on automated analysis of nocturnal blood oxygen saturation (SpO2) from respiratory polygraphy (RP) at home. A database composed of 50 SpO2 recordings was analyzed. Three signal processing stages were carried out: (i) feature extraction, where statistical features and nonlinear measures were computed and combined with conventional oximetric indexes, (ii) feature selection using genetic algorithms (GAs), and (iii) feature classification through logistic regression (LR). Leave-one-out cross-validation (loo-cv) was applied to assess diagnostic performance. The proposed method reached 80.8% sensitivity, 79.2% specificity, 80.0% accuracy and 0.93 area under the ROC curve (AROC), which improved the performance of single conventional indexes. Our results suggest that automated analysis of SpO2 recordings from at-home RP provides essential and complementary information to assist in OSAHS diagnosis in children. 2016-12-14T12:04:19Z 2016-12-14T12:04:19Z 2014 info:eu-repo/semantics/article Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2014, v. 2014, p. 1860-3 1557-170X http://uvadoc.uva.es/handle/10324/21714 10.1109/EMBC.2014.6943972 2014 eng http://ieeexplore.ieee.org/servlet/opac?punumber=1000269 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ Attribution-NonCommercial-NoDerivatives 4.0 International IEEE Conference Publications SI