RT info:eu-repo/semantics/article
T1 Detrended fluctuation analysis of the oximetry signal to assist in paediatric sleep apnoea–hypopnoea syndrome diagnosis
A1 Vaquerizo-Villar, Fernando
A1 Álvarez, Daniel
A1 Kheirandish-Gozal, Leila
A1 Gutiérrez-Tobal, Gonzalo C
A1 Barroso-García, Verónica
A1 Crespo, Andrea
A1 del Campo, Félix
A1 Gozal, David
A1 Hornero, Roberto
K1 blood oxygen saturation (SpO2)
K1 detrended fluctuation analysis (DFA)
K1 feature selection
K1 oximetry
K1 paediatric sleep apnoea–hypopnoea syndrome (SAHS)
K1 apnoea–hypopnoea index (AHI) estimation
K1 3325 Tecnología de las Telecomunicaciones
K1 3314 Tecnología Médica
K1 1203.04 Inteligencia Artificial
AB 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.
PB Institute of Physics and Engineering in Medicine
SN 0967-3334
YR 2018
FD 2018-11-13
LK https://uvadoc.uva.es/handle/10324/80300
UL https://uvadoc.uva.es/handle/10324/80300
LA spa
NO Physiological Measurement, Noviembre 2018, vol. 39, p. 114006
NO Producción Científica
DS UVaDOC
RD 11-ene-2026