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 …
Scoring polysomnography for obstructive sleep apnea diagnosis is a laborious, long, and costly process. Machine learning approaches, such as deep neural networks, can reduce …
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 …
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 …
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 …
Background The gold standard for pediatric sleep apnea hypopnea syndrome (SAHS) is overnight polysomnography, which has several limitations. Thus, simplified diagnosis …
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 …
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 …
The reference standard to diagnose pediatric Obstructive Sleep Apnea (OSA) syndrome is an overnight polysomnographic evaluation. When polysomnography is either unavailable or …