2026-05-05T18:39:02Zhttps://uvadoc.uva.es/oai/request
oai:uvadoc.uva.es:10324/803002026-03-24T09:48:27Zcom_10324_23459com_10324_954com_10324_894col_10324_23460
UVaDOC author Vaquerizo Villar, Fernando author Álvarez González, Daniel author Kheirandish Gozal, Leila author Gutierrez Tobal, Gonzalo César author Barroso García, Verónica author Crespo, Andrea author Campo Matias, Félix del author Gozal, David author Hornero Sánchez, Roberto 2025-12-04T10:39:32Z 2025-12-04T10:39:32Z 2018 Physiological Measurement, Noviembre 2018, vol. 39, p. 114006 0967-3334 https://uvadoc.uva.es/handle/10324/80300 10.1088/1361-6579/aae66a 114006 11 Physiological Measurement 39 1361-6579 Objective: To evaluate whether detrended fluctuation analysis (DFA) provides information that improves the diagnostic ability of the oximetry signal in the diagnosis of paediatric sleep apnoea–hypopnoea syndrome (SAHS). Approach: A database composed of 981 blood oxygen saturation (SpO2) recordings in children was used to extract DFA-derived features in order to quantify the scaling behaviour and the fluctuations of the SpO2 signal. The 3% oxygen desaturation index (ODI3) was also computed for each subject. Fast correlation-based filter (FCBF) was then applied to select an optimum subset of relevant and non-redundant features. This subset fed a multi-layer perceptron (MLP) neural network to estimate the apnoea–hypopnoea index (AHI). Main results: ODI3 and four features from the DFA reached significant differences associated with the severity of SAHS. An optimum subset composed of the slope in the first scaling region of the DFA profile and the ODI3 was selected using FCBF applied to the training set (60% of samples). The MLP model trained with this feature subset showed good agreement with the actual AHI, reaching an intra-class correlation coefficient of 0.891 in the test set (40% of samples). Furthermore, the estimated AHI showed high diagnostic ability, reaching an accuracy of 82.7%, 81.9%, and 91.1% using three common AHI cut-offs of 1, 5, and 10 events per hour (e h−1), respectively. These results outperformed the overall performance of ODI3. Significance: DFA may serve as a reliable tool to improve the diagnostic performance of oximetry recordings in the evaluation of paediatric patients with symptoms suggestive of SAHS. spa Detrended fluctuation analysis of the oximetry signal to assist in paediatric sleep apnoea–hypopnoea syndrome diagnosis info:eu-repo/semantics/article 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URL https://uvadoc.uva.es/bitstream/10324/80300/1/PM_Vaquerizo2018_R1.pdf File MD5 1f01cf3098e6df592189cb58007aa5a6 1445784 application/pdf PM_Vaquerizo2018_R1.pdf