OSA-CCNN: obstructive Sleep apnea detection based on a composite deep convolution neural network model using single-lead ECG signal
Obstructive sleep apnea (OSA) is a common sleeping issue that makes it difficult to breathe
while you sleep and is linked to a number of other disorders, including cardiovascular …
while you sleep and is linked to a number of other disorders, including cardiovascular …
SomnNET: An SpO2 based deep learning network for sleep apnea detection in smartwatches
The abnormal pause or rate reduction in breathing is known as the sleep-apnea hypopnea
syndrome and affects the quality of sleep of an individual. A novel method for the detection …
syndrome and affects the quality of sleep of an individual. A novel method for the detection …
Systematic Review of Detecting Sleep Apnea Using Artificial Intelligence: An Insight to Convolutional Neural Network Method
Background: Sleep apnea is a prevalent sleep disorder, especially in males and older ages.
The common diagnostic methods, including polysomnography (PSG), are expensive, difficult …
The common diagnostic methods, including polysomnography (PSG), are expensive, difficult …
Feature learning and data compression of biosignals using convolutional autoencoders for sleep apnea detection
Sleep apnea is a medical condition that can be diagnosed from events in respiratory
biosignals, and many supervised machine learning techniques can readily be applied to …
biosignals, and many supervised machine learning techniques can readily be applied to …
1D Convolutional Neural Network for Obstructive Sleep Apnea Detection
A Bhongade, R Gupta… - 2023 IEEE 20th India …, 2023 - ieeexplore.ieee.org
Obstructive sleep apnea (OSA) is a condition that influences many people and is determined
by events of reduced respiratory airflow during sleep. However, electrocardiogram (ECG) …
by events of reduced respiratory airflow during sleep. However, electrocardiogram (ECG) …
A comparison of signal combinations for deep learning-based simultaneous sleep staging and respiratory event detection
Objective: Obstructive sleep apnea (OSA) is diagnosed using the apnea-hypopnea index
(AHI), which is the average number of respiratory events per hour of sleep. Recently …
(AHI), which is the average number of respiratory events per hour of sleep. Recently …
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 …
neurological and cardiovascular diseases if left untreated. The diagnosis of SA is …
Convolutional neural network-based obstructive sleep apnea identification
Q Dong, Y Jiraraksopakun… - 2021 IEEE 6th …, 2021 - ieeexplore.ieee.org
Obstructive Sleep Apnea (OSA) identification aims to recognize the sounds from the
obstructive sleep apneahypopnea syndrome (OSANHS) patients. Despite remarkable …
obstructive sleep apneahypopnea syndrome (OSANHS) patients. Despite remarkable …
Wavelet transform and deep learning-based obstructive sleep apnea detection from single-lead ECG signals
Y Lin, H Zhang, W Wu, X Gao, F Chao, J Lin - Physical and Engineering …, 2024 - Springer
Sleep apnea is a common sleep disorder. Traditional testing and diagnosis heavily rely on
the expertise of physicians, as well as analysis and statistical interpretation of extensive …
the expertise of physicians, as well as analysis and statistical interpretation of extensive …
[HTML][HTML] Machine learning for health and clinical applications
Y Zhang - Methods (San Diego, Calif.), 2022 - ncbi.nlm.nih.gov
In light of the recent normalization of the COVID-19, people have shown an increased
concern on health. Recent developments in machine learning, wearable sensors and …
concern on health. Recent developments in machine learning, wearable sensors and …