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 method to detect sleep apnea based on deep neural network and hidden Markov model using single-lead ECG signal
K Li, W Pan, Y Li, Q Jiang, G Liu - Neurocomputing, 2018 - Elsevier
Obstructive sleep apnea (OSA) is the most common sleep-related breathing disorder that
potentially threatened people's cardiovascular system. As an alternative to …
potentially threatened people's cardiovascular system. As an alternative to …
Multiscale deep neural network for obstructive sleep apnea detection using RR interval from single-lead ECG signal
Q Shen, H Qin, K Wei, G Liu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The detection of obstructive sleep apnea (OSA) based on single-lead electrocardiogram
(ECG) is better suited to the noninvasive needs and hardware conditions of wearable mobile …
(ECG) is better suited to the noninvasive needs and hardware conditions of wearable mobile …
EEG signal analysis: a survey
The EEG (Electroencephalogram) signal indicates the electrical activity of the brain. They
are highly random in nature and may contain useful information about the brain state …
are highly random in nature and may contain useful information about the brain state …
A sleep apnea detection system based on a one-dimensional deep convolution neural network model using single-lead electrocardiogram
HY Chang, CY Yeh, CT Lee, CC Lin - Sensors, 2020 - mdpi.com
Many works in recent years have been focused on developing a portable and less
expensive system for diagnosing patients with obstructive sleep apnea (OSA), instead of …
expensive system for diagnosing patients with obstructive sleep apnea (OSA), instead of …
Wireless sleep apnea detection using continuous wave quadrature Doppler radar
M Baboli, A Singh, B Soll, O Boric-Lubecke… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
A non-contact and non-invasive physiological radar monitoring system (PRMS) is
introduced. The system is based on motion detection using quadrature microwave Doppler …
introduced. The system is based on motion detection using quadrature microwave Doppler …
A novel approach osa detection using single-lead ECG scalogram based on deep neural network
SA Singh, S Majumder - Journal of Mechanics in Medicine and …, 2019 - World Scientific
Obstructive sleep apnea (OSA) is the most common and severe breathing dysfunction which
frequently freezes the breathing for longer than 10 s while sleeping. Polysomnography …
frequently freezes the breathing for longer than 10 s while sleeping. Polysomnography …
Detection of obstructive sleep apnea through ECG signal features
L Almazaydeh, K Elleithy… - 2012 IEEE International …, 2012 - ieeexplore.ieee.org
Obstructive sleep apnea (OSA) is a common disorder in which individuals stop breathing
during their sleep. Most of sleep apnea cases are currently undiagnosed because of …
during their sleep. Most of sleep apnea cases are currently undiagnosed because of …
Classıfıcation of sleep apnea by using wavelet transform and artificial neural networks
This paper describes a new method to classify sleep apnea syndrome (SAS) by using
wavelet transforms and an artificial neural network (ANN). The network was trained and …
wavelet transforms and an artificial neural network (ANN). The network was trained and …