A survey on recent advances in machine learning based sleep apnea detection systems

A Ramachandran, A Karuppiah - Healthcare, 2021 - mdpi.com
Sleep apnea is a sleep disorder that affects a large population. This disorder can cause or
augment the exposure to cardiovascular dysfunction, stroke, diabetes, and poor productivity …

Devices for home detection of obstructive sleep apnea: A review

F Mendonça, SS Mostafa, AG Ravelo-García… - Sleep medicine …, 2018 - Elsevier
One of the most common sleep-related disorders is obstructive sleep apnea, characterized
by a reduction of airflow while breathing during sleep and cause significant health problems …

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 …

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 …

Real-time sleep apnea detection by classifier combination

B Xie, H Minn - IEEE Transactions on information technology in …, 2012 - ieeexplore.ieee.org
To find an efficient and valid alternative of polysomnography (PSG), this paper investigates
real-time sleep apnea and hypopnea syndrome (SAHS) detection based on …

Real-time apnea-hypopnea event detection during sleep by convolutional neural networks

SH Choi, H Yoon, HS Kim, HB Kim, HB Kwon… - Computers in biology …, 2018 - Elsevier
Sleep apnea-hypopnea event detection has been widely studied using various biosignals
and algorithms. However, most minute-by-minute analysis techniques have difficulty …

Computer-aided obstructive sleep apnea screening from single-lead electrocardiogram using statistical and spectral features and bootstrap aggregating

AR Hassan, MA Haque - Biocybernetics and Biomedical Engineering, 2016 - Elsevier
Automatic sleep apnea screening is important to alleviate the onus of the physicians of
analyzing a large volume of data visually. Again, the push towards low-power, portable and …

[HTML][HTML] Classifying obstructive sleep apnea using smartphones

M Al-Mardini, F Aloul, A Sagahyroon… - Journal of biomedical …, 2014 - Elsevier
Obstructive sleep apnea (OSA) is a serious sleep disorder which is characterized by
frequent obstruction of the upper airway, often resulting in oxygen desaturation. The serious …

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 …

Sleep apnea detection based on thoracic and abdominal movement signals of wearable piezoelectric bands

YY Lin, HT Wu, CA Hsu, PC Huang… - IEEE journal of …, 2016 - ieeexplore.ieee.org
Physiologically, the thoracic (THO) and abdominal (ABD) movement signals, captured using
wearable piezoelectric bands, provide information about various types of apnea, including …