A convolutional neural network architecture to enhance oximetry ability to diagnose pediatric obstructive sleep apnea

F Vaquerizo-Villar, D Álvarez… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
This study aims at assessing the usefulness of deep learning to enhance the diagnostic
ability of oximetry in the context of automated detection of pediatric obstructive sleep apnea …

[HTML][HTML] A 2D convolutional neural network to detect sleep apnea in children using airflow and oximetry

J Jiménez-García, M García, GC Gutiérrez-Tobal… - Computers in Biology …, 2022 - Elsevier
The gold standard approach to diagnose obstructive sleep apnea (OSA) in children is
overnight in-lab polysomnography (PSG), which is labor-intensive for clinicians and onerous …

[HTML][HTML] Adoption of transformer neural network to improve the diagnostic performance of oximetry for obstructive sleep apnea

MA Almarshad, S Al-Ahmadi, MS Islam… - Sensors, 2023 - mdpi.com
Scoring polysomnography for obstructive sleep apnea diagnosis is a laborious, long, and
costly process. Machine learning approaches, such as deep neural networks, can reduce …

[HTML][HTML] An explainable deep-learning architecture for pediatric sleep apnea identification from overnight airflow and oximetry signals

J Jiménez-García, M García, GC Gutiérrez-Tobal… - … Signal Processing and …, 2024 - Elsevier
Deep-learning algorithms have been proposed to analyze overnight airflow (AF) and
oximetry (SpO 2) signals to simplify the diagnosis of pediatric obstructive sleep apnea …

Cloud algorithm-driven oximetry-based diagnosis of obstructive sleep apnoea in symptomatic habitually snoring children

Z Xu, GC Gutiérrez-Tobal, Y Wu… - European …, 2019 - Eur Respiratory Soc
The ability of a cloud-driven Bluetooth oximetry-based algorithm to diagnose obstructive
sleep apnoea syndrome (OSAS) was examined in habitually snoring children concurrently …

A comparison of signal combinations for deep learning-based simultaneous sleep staging and respiratory event detection

R Huttunen, T Leppänen, B Duce… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Objective: Obstructive sleep apnea (OSA) is diagnosed using the apnea-hypopnea index
(AHI), which is the average number of respiratory events per hour of sleep. Recently …

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

F Vaquerizo-Villar, D Alvarez, L Kheirandish-Gozal… - PloS one, 2018 - journals.plos.org
Background The gold standard for pediatric sleep apnea hypopnea syndrome (SAHS) is
overnight polysomnography, which has several limitations. Thus, simplified diagnosis …

Multi-objective hyperparameter optimization of convolutional neural network for obstructive sleep apnea detection

SS Mostafa, F Mendonca, AG Ravelo-Garcia… - IEEE …, 2020 - ieeexplore.ieee.org
Obstructive sleep apnea (OSA) is a common sleep disorder characterized by interrupted
breathing during sleep. Because of the cost, complexity, and accessibility issue related to …

Evaluation of machine-learning approaches to estimate sleep apnea severity from at-home oximetry recordings

GC Gutiérrez-Tobal, D Álvarez… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Complexity, costs, and waiting list issues demand a simplified alternative for sleep apnea-
hypopnea syndrome (SAHS) diagnosis. The blood oxygen saturation signal (SpO2) carries …

[HTML][HTML] Assessment of airflow and oximetry signals to detect pediatric sleep apnea-hypopnea syndrome using AdaBoost

J Jiménez-García, GC Gutiérrez-Tobal, M García… - Entropy, 2020 - mdpi.com
The reference standard to diagnose pediatric Obstructive Sleep Apnea (OSA) syndrome is
an overnight polysomnographic evaluation. When polysomnography is either unavailable or …