SCNN: Scalogram-based convolutional neural network to detect obstructive sleep apnea using single-lead electrocardiogram signals
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 …
world. The gold standard approach for determining the severity of sleep apnea is full-night …
Obstructive sleep apnea detection using ecg-sensor with convolutional neural networks
In recent years, AI (Artificial Intelligence) has achieved great development in modern society.
More and more modern technologies are applied in surveillance and monitoring. Healthcare …
More and more modern technologies are applied in surveillance and monitoring. Healthcare …
Detection of obstructive sleep apnoea by ecg signals using deep learning architectures
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 …
general anaesthesia. This disorder can affect human life considerably. Early detection of …
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 …
Automated detection of obstructive sleep apnea events from a single-lead electrocardiogram using a convolutional neural network
In this study, we propose a method for the automated detection of obstructive sleep apnea
(OSA) from a single-lead electrocardiogram (ECG) using a convolutional neural network …
(OSA) from a single-lead electrocardiogram (ECG) using a convolutional neural network …
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 …
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 …
via polysomnography (PSG). However, this method is expensive, time-consuming, and …
Diagnosis of obstructive sleep apnea from ECG signals using machine learning and deep learning classifiers
Obstructive sleep apnea (OSA) is a well-known sleep ailment. OSA mostly occurs due to the
shortage of oxygen for the human body, which causes several symptoms (ie, low …
shortage of oxygen for the human body, which causes several symptoms (ie, low …
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) …
health of patients. The manual diagnostic of OSA through the Polysomnography (PSG) …
Detection of sleep apnea using deep neural networks and single-lead ECG signals
Sleep apnea causes frequent cessation of breathing during sleep. Feature extraction
approaches play a key role in the performance of apnea detection algorithms that use single …
approaches play a key role in the performance of apnea detection algorithms that use single …