Single channel ECG for obstructive sleep apnea severity detection using a deep learning approach

N Banluesombatkul, T Rakthanmanon… - TENCON 2018-2018 …, 2018 - ieeexplore.ieee.org
Obstructive sleep apnea (OSA) is a common sleep disorder caused by abnormal breathing.
The severity of OSA can lead to many symptoms such as sudden cardiac death (SCD) …

Detection of obstructive sleep apnoea by ecg signals using deep learning architectures

H Almutairi, GM Hassan, A Datta - 2020 28th European signal …, 2021 - ieeexplore.ieee.org
Obstructive Sleep Apnoea (OSA) is a breathing disorder that happens during sleep and
general anaesthesia. This disorder can affect human life considerably. Early detection of …

Contribution of different subbands of ECG in sleep apnea detection evaluated using filter bank decomposition and a convolutional neural network

CY Yeh, HY Chang, JY Hu, CC Lin - Sensors, 2022 - mdpi.com
A variety of feature extraction and classification approaches have been proposed using
electrocardiogram (ECG) and ECG-derived signals for improving the performance of …

Detection of sleep apnea from single-lead ECG: Comparison of deep learning algorithms

M Bahrami, M Forouzanfar - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Apnea is a prevalent sleep disorder which has detrimental impacts on human health and
quality of life. Accurate automatic algorithms for the detection of sleep apnea are needed for …

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) …

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 …

AI vs Humans for the diagnosis of sleep apnea

V Thorey, AB Hernandez, PJ Arnal… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
Polysomnography (PSG) is the gold standard for diagnosing sleep obstructive apnea (OSA).
It allows monitoring of breathing events throughout the night. The detection of these events …

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 …

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 …

Obstructive sleep apnea detection using combination of CNN and LSTM techniques

X Liang, X Qiao, Y Li - 2019 IEEE 8th joint international …, 2019 - ieeexplore.ieee.org
This paper proposed a novel DL method for OSA detection. RR intervals (RRIs) was
extracted from Apnea ECG signals at the first stage, which reduced computational …