A review of obstructive sleep apnea detection approaches
F Mendonca, SS Mostafa… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Sleep disorders are a common health condition that can affect numerous aspects of life.
Obstructive sleep apnea is one of the most common disorders and is characterized by a …
Obstructive sleep apnea is one of the most common disorders and is characterized by a …
[Retracted] A Comprehensive Review: Computational Models for Obstructive Sleep Apnea Detection in Biomedical Applications
Obstructive sleep apnea (OSA) is a sleep disorder characterized by periodic episodes of
partial or complete upper airway obstruction caused by narrowing or collapse of the …
partial or complete upper airway obstruction caused by narrowing or collapse of the …
A sleep apnea detection method based on unsupervised feature learning and single-lead electrocardiogram
K Feng, H Qin, S Wu, W Pan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Sleep apnea (SA) is a harmful respiratory disorder that has caused widespread concern
around the world. Considering that electrocardiogram (ECG)-based SA diagnostic methods …
around the world. Considering that electrocardiogram (ECG)-based SA diagnostic methods …
BreathTrack: detecting regular breathing phases from unannotated acoustic data captured by a smartphone
Breathing biomarkers, such as breathing rate, fractional inspiratory time, and inhalation-
exhalation ratio, are vital for monitoring the user's health and well-being. Accurate estimation …
exhalation ratio, are vital for monitoring the user's health and well-being. Accurate estimation …
Automated scoring of respiratory events in sleep with a single effort belt and deep neural networks
Objective: Automatic detection and analysis of respiratory events in sleep using a single
respiratoryeffort belt and deep learning. Methods: Using 9,656 polysomnography recordings …
respiratoryeffort belt and deep learning. Methods: Using 9,656 polysomnography recordings …
Systematic review of automated sleep apnea detection based on physiological signal data using deep learning algorithm: a meta-analysis approach
PK Tyagi, D Agarwal - Biomedical Engineering Letters, 2023 - Springer
Sleep apnea (SLA) is a respiratory-related sleep disorder that affects a major proportion of
the population. The gold standard in sleep testing, polysomnography, is costly, inconvenient …
the population. The gold standard in sleep testing, polysomnography, is costly, inconvenient …
Thermal imaging and radar for remote sleep monitoring of breathing and apnea
Polysomnography (PSG), the current gold standard method for monitoring and detecting
sleep disorders, is cumbersome and costly. At-home testing solutions, known as home sleep …
sleep disorders, is cumbersome and costly. At-home testing solutions, known as home sleep …
Detection of sleep breathing sound based on artificial neural network analysis
T Emoto, UR Abeyratne, K Kawano, T Okada… - … Signal Processing and …, 2018 - Elsevier
Obstructive sleep apnea-hypopnea syndrome (OSAHS) is known to cause daytime
drowsiness and an association with diseases such as Type II diabetes, cardiovascular …
drowsiness and an association with diseases such as Type II diabetes, cardiovascular …
Pams: Improving privacy in audio-based mobile systems
Smartphones and mobile applications have become an integral part of our daily lives. This is
reflected by the increase in mobile devices, applications, and revenue generated each year …
reflected by the increase in mobile devices, applications, and revenue generated each year …
Self-Supervised Representation Learning-Based OSA Detection Method Using Single-Channel ECG Signals
CB Kumar, AK Mondal, M Bhatia… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Sleep apnea (SA) is a pervasive and highly prevalent sleep disorder identified by recurrent
breathing-related problems such as respiratory pauses for almost 10 s (called apnea events) …
breathing-related problems such as respiratory pauses for almost 10 s (called apnea events) …