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 …
electrocardiogram (ECG) and ECG-derived signals for improving the performance of …
End-to-end sleep apnea detection using single-lead ECG signal and 1-D residual neural networks
Purpose Sleep apnea causes heart rate variability (HRV). HRV can be detected from the
electrocardiography (ECG) signal and descriptors of HRV during sleep have been shown to …
electrocardiography (ECG) signal and descriptors of HRV during sleep have been shown to …
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) …
Deep convolutional neural network based sleep apnea detection scheme using spectro-temporal subframes of EEG signal
Sleep apnea, a common sleep disorder, has been affecting millions of people all over the
world. For automatic detection of sleep apnea from various bio-signals, the …
world. For automatic detection of sleep apnea from various bio-signals, the …
A novel deep learning-based approach for sleep apnea detection using single-lead ECG signals
Sleep apnea (SA) is a type of sleep disorder characterized by snoring and chronic
sleeplessness, which can lead to serious conditions such as high blood pressure, heart …
sleeplessness, which can lead to serious conditions such as high blood pressure, heart …
Sleep apnea detection from single-lead ECG: A comprehensive analysis of machine learning and deep learning algorithms
M Bahrami, M Forouzanfar - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Sleep apnea is a common sleep breathing disorder (SBD) in which patients suffer from
stopping or decreasing airflow to the lungs for more than 10 sec. Accurate detection of sleep …
stopping or decreasing airflow to the lungs for more than 10 sec. Accurate detection of sleep …
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 …
[HTML][HTML] ECG and SpO2 signal-based real-time sleep apnea detection using feed-forward artificial neural network
Sleep apnea (SA) is a common sleep disorder characterized by respiratory disturbance
during sleep. Polysomnography (PSG) is the gold standard for apnea diagnosis, but it is time …
during sleep. Polysomnography (PSG) is the gold standard for apnea diagnosis, but it is time …
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 …
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) …
The severity of OSA can lead to many symptoms such as sudden cardiac death (SCD) …