2026-04-14T16:49:04Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/567082025-02-20T11:49:16Zcom_10324_23459com_10324_954com_10324_894col_10324_23460

Crespo Sedano, Andrea Álvarez González, Daniel Gutierrez Tobal, Gonzalo César Vaquerizo Villar, Fernando Barroso García, Verónica Alonso Álvarez, María Luz Terán Santos, Joaquín Hornero Sánchez, Roberto Campo Matias, Félix del 2022-11-03T12:50:45Z 2022-11-03T12:50:45Z 2017 Entropy, 2017, vol. 19, n. 6, p. 284 https://uvadoc.uva.es/handle/10324/56708 10.3390/e19060284 284 6 Entropy 19 1099-4300 Untreated paediatric obstructive sleep apnoea syndrome (OSAS) can severely affect the development and quality of life of children. In-hospital polysomnography (PSG) is the gold standard for a definitive diagnosis though it is relatively unavailable and particularly intrusive. Nocturnal portable oximetry has emerged as a reliable technique for OSAS screening. Nevertheless, additional evidences are demanded. Our study is aimed at assessing the usefulness of multiscale entropy (MSE) to characterise oximetric recordings. We hypothesise that MSE could provide relevant information of blood oxygen saturation (SpO2) dynamics in the detection of childhood OSAS. In order to achieve this goal, a dataset composed of unattended SpO2 recordings from 50 children showing clinical suspicion of OSAS was analysed. SpO2 was parameterised by means of MSE and conventional oximetric indices. An optimum feature subset composed of five MSE-derived features and four conventional clinical indices were obtained using automated bidirectional stepwise feature selection. Logistic regression (LR) was used for classification. Our optimum LR model reached 83.5% accuracy (84.5% sensitivity and 83.0% specificity). Our results suggest that MSE provides relevant information from oximetry that is complementary to conventional approaches. Therefore, MSE may be useful to improve the diagnostic ability of unattended oximetry as a simplified screening test for childhood OSAS. eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ © 2017 The Author(s) Atribución 4.0 Internacional Multiscale entropy analysis of unattended oximetric recordings to assist in the screening of paediatric sleep apnoea at home info:eu-repo/semantics/article