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 …

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 …

[HTML][HTML] Sleep apnea detection from a single-lead ECG signal with automatic feature-extraction through a modified LeNet-5 convolutional neural network

T Wang, C Lu, G Shen, F Hong - PeerJ, 2019 - peerj.com
Sleep apnea (SA) is the most common respiratory sleep disorder, leading to some serious
neurological and cardiovascular diseases if left untreated. The diagnosis of SA is …

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 …

Classification of Obstructive Sleep Apnoea from single-lead ECG signals using convolutional neural and Long Short Term Memory networks

H Almutairi, GM Hassan, A Datta - Biomedical Signal Processing and …, 2021 - Elsevier
Abstract Obstructive Sleep Apnoea (OSA) is a breathing disorder that happens during sleep.
Polysomnography (PSG) is typically used as a reference standard for the diagnosis of OSA …

Obstructive sleep apnea detection from single-lead electrocardiogram signals using one-dimensional squeeze-and-excitation residual group network

Q Yang, L Zou, K Wei, G Liu - Computers in biology and medicine, 2022 - Elsevier
Obstructive sleep apnea (OSA), which has high morbidity and complications, is diagnosed
via polysomnography (PSG). However, this method is expensive, time-consuming, and …

OSACN-Net: automated classification of sleep apnea using deep learning model and smoothed Gabor spectrograms of ECG signal

K Gupta, V Bajaj, IA Ansari - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Obstructive sleep apnea (OSA) is a severe sleep-associated respiratory disorder, caused
due to periodic disruption of breath during sleep. It may cause a number of serious …

Automatic detection of obstructive sleep apnea events using a deep CNN‐LSTM model

J Zhang, Z Tang, J Gao, L Lin, Z Liu… - Computational …, 2021 - Wiley Online Library
Obstructive sleep apnea (OSA) is a common sleep‐related respiratory disorder. Around the
world, more and more people are suffering from OSA. Because of the limitation of monitor …

SCNN: Scalogram-based convolutional neural network to detect obstructive sleep apnea using single-lead electrocardiogram signals

FR Mashrur, MS Islam, DK Saha, SMR Islam… - Computers in Biology …, 2021 - Elsevier
Sleep apnea is a common symptomatic disease affecting nearly 1 billion people around the
world. The gold standard approach for determining the severity of sleep apnea is full-night …

Detection of obstructive sleep apnea from single-channel ECG signals using a CNN-transformer architecture

H Liu, S Cui, X Zhao, F Cong - Biomedical Signal Processing and Control, 2023 - Elsevier
Obstructive sleep apnea (OSA) is a sleep breathing disorder that can seriously affect the
health of patients. The manual diagnostic of OSA through the Polysomnography (PSG) …