Wavelet analysis of oximetry recordings to assist in the automated detection of moderate-to-severe pediatric sleep apnea-hypopnea syndrome.

Fernando Vaquerizo-Villar Daniel ÁlvarezLeila Kheirandish-GozalGonzalo C Gutiérrez-TobalVerónica Barroso-GarcíaAndrea CrespoFélix Del CampoDavid GozalRoberto Hornero

Published in: PloS one (2018)

Wavelet analysis could be a reliable tool to analyze the oximetry signal in order to assist in the automated detection of moderate-to-severe pediatric SAHS. Hence, pediatric subjects suffering from moderate-to-severe SAHS could benefit from an accurate simplified screening test only using the SpO2 signal.

Keyphrases

sleep apnea
obstructive sleep apnea
high intensity
early onset
machine learning
positive airway pressure
deep learning
high throughput
convolutional neural network
real time pcr
label free
drug induced
mass spectrometry