2026-05-05T13:21:52Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/217152025-02-20T11:47:46Zcom_10324_1191com_10324_931com_10324_894col_10324_1379

Gutierrez Tobal, Gonzalo César Álvarez González, Daniel Alonso Álvarez, María Luz Terán Santos, Joaquín Campo Matias, Félix del Hornero Sánchez, Roberto 2016-12-14T12:12:26Z 2016-12-14T12:12:26Z 2014 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. 2298-301 1557-170X) http://uvadoc.uva.es/handle/10324/21715 10.1109/EMBC.2014.6944079 This work aims at studying the usefulness of the spectral information contained in airflow (AF) recordings in the context of Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) in children. To achieve this goal, we defined two spectral bands of interest related to the occurrence of apneas and hypopneas. We characterized these bands by extracting six common spectral features from each one. Two out of the 12 features reached higher diagnostic ability than the 3% oxygen desaturation index (ODI3), a clinical parameter commonly used as screener for OSAHS. Additionally, the stepwise logistic regression (SLR) featureselection algorithm showed that the information contained in the two bands was complementary, both between them and with ODI3. Finally, the logistic regression method involving spectral features from the two bands, as well as ODI3, achieved high diagnostic performance after a bootstrap validation procedure (84.6±9.6 sensitivity, 87.2±9.1 specificity, 85.8±5.2 accuracy, and 0.969±0.03 area under ROC curve). These results suggest that the spectral information from AF is helpful to detect OSAHS in children eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ Attribution-NonCommercial-NoDerivatives 4.0 International Sleep Apnea-Hypopnea Syndrome Diagnosis Exploring the Spectral Information of Airflow Recordings to Help in Pediatric Obstructive Sleep Apnea-Hypopnea Syndrome Diagnosis info:eu-repo/semantics/article