The Sleep Revolution project: the concept and objectives

ES Arnardottir, AS Islind, M Óskarsdottir… - Journal of sleep …, 2022 - Wiley Online Library
Obstructive sleep apnea is linked to severe health consequences such as hypertension,
daytime sleepiness, and cardiovascular disease. Nearly a billion people are estimated to …

Applications of artificial intelligence and machine learning in respiratory medicine

S Gonem, W Janssens, N Das, M Topalovic - Thorax, 2020 - thorax.bmj.com
The past 5 years have seen an explosion of interest in the use of artificial intelligence (AI)
and machine learning techniques in medicine. This has been driven by the development of …

Prediction of tubular solar still performance by machine learning integrated with Bayesian optimization algorithm

Y Wang, AW Kandeal, A Swidan, SW Sharshir… - Applied Thermal …, 2021 - Elsevier
In this study, accurate and convenient prediction models of tubular solar still performance,
expressed as hourly production, were developed by utilizing machine learning. Based on …

Discovering a robust machine learning model for predicting the productivity of a solar-driven humidification-dehumidification system

M An, K Zhang, F Song, X Chen, SW Sharshir… - Applied Thermal …, 2023 - Elsevier
This work introduces a complete study of freshwater productivity prediction of a solar-driven
humidification-dehumidification unit (HDH) based on experimental and machine learning …

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] Association between obstructive sleep apnea (OSA) and atrial fibrillation (AF): a dose-response meta-analysis

D Zhang, Y Ma, J Xu, F Yi - Medicine, 2022 - journals.lww.com
Background: Refractory hypoxemia episodes are characteristic of obstructive sleep apnea
(OSA). Patients with OSA suffer from oxidative stress in all systems. Atrial fibrillation (AF) is a …

Application of artificial intelligence in the diagnosis of sleep apnea

G Bazoukis, SC Bollepalli, CT Chung, X Li… - Journal of Clinical …, 2023 - jcsm.aasm.org
Study Objectives: Machine learning (ML) models have been employed in the setting of sleep
disorders. This review aims to summarize the existing data about the role of ML techniques …

[HTML][HTML] Research progress of respiratory disease and idiopathic pulmonary fibrosis based on artificial intelligence

G Zhang, L Luo, L Zhang, Z Liu - Diagnostics, 2023 - mdpi.com
Machine Learning (ML) is an algorithm based on big data, which learns patterns from the
previously observed data through classifying, predicting, and optimizing to accomplish …

[HTML][HTML] PSG-Audio, a scored polysomnography dataset with simultaneous audio recordings for sleep apnea studies

G Korompili, A Amfilochiou, L Kokkalas, SA Mitilineos… - Scientific data, 2021 - nature.com
The sleep apnea syndrome is a chronic condition that affects the quality of life and increases
the risk of severe health conditions such as cardiovascular diseases. However, the …