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 …
[HTML][HTML] A systematic review of detecting sleep apnea using deep learning
Sleep apnea is a sleep related disorder that significantly affects the population.
Polysomnography, the gold standard, is expensive, inaccessible, uncomfortable and an …
Polysomnography, the gold standard, is expensive, inaccessible, uncomfortable and an …
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 …
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 …
Detection of apnea events from ECG segments using Fourier decomposition method
Absence of airflow in breathing during sleep for more than 10 s is known as sleep apnea. It
causes low oxygen levels in the blood which may lead to many cardiovascular problems …
causes low oxygen levels in the blood which may lead to many cardiovascular problems …
[HTML][HTML] 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 …
Optimization of cnn using modified honey badger algorithm for sleep apnea detection
Sleep Apnea (SA) is the most prevalent breathing sleep problem, and if left untreated, it can
lead to catastrophic neurological and cardiovascular illnesses. Conventionally …
lead to catastrophic neurological and cardiovascular illnesses. Conventionally …
Automatic detection of obstructive sleep apnea using wavelet transform and entropy-based features from single-lead ECG signal
Obstructive sleep apnea (OSA) is a prevalent sleep disorder and highly affects the quality of
human life. Currently, gold standard for OSA detection is polysomnogram. Since this method …
human life. Currently, gold standard for OSA detection is polysomnogram. Since this method …
Detection of sleep apnea using Machine learning algorithms based on ECG Signals: A comprehensive systematic review
Sleep apnea (SA) is a common sleep disorder that is not easy to detect. Recent studies have
highlighted ECG analysis as an effective method of diagnosing SA. Because the changes …
highlighted ECG analysis as an effective method of diagnosing SA. Because the changes …
An expert system for automated identification of obstructive sleep apnea from single-lead ECG using random under sampling boosting
AR Hassan, MA Haque - Neurocomputing, 2017 - Elsevier
Computerized obstructive sleep apnea detection is necessary to speed-up sleep apnea
diagnosis and research and for assisting medical professionals. Moreover, the development …
diagnosis and research and for assisting medical professionals. Moreover, the development …