A review of automated sleep disorder detection
Automated sleep disorder detection is challenging because physiological symptoms can
vary widely. These variations make it difficult to create effective sleep disorder detection …
vary widely. These variations make it difficult to create effective sleep disorder detection …
A systematic review of detecting sleep apnea using deep learning
Sleep apnea is a sleep related disorder that significantly affects the population.
Polysomnography, the gold standard, is expensive, inaccessible, uncomfortable and an …
Polysomnography, the gold standard, is expensive, inaccessible, uncomfortable and an …
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works
P Moridian, A Shoeibi, M Khodatars… - … : Data Mining and …, 2022 - Wiley Online Library
Apnea is a sleep disorder that stops or reduces airflow for a short time during sleep. Sleep
apnea may last for a few seconds and happen for many while sleeping. This reduction in …
apnea may last for a few seconds and happen for many while sleeping. This reduction in …
Clinical applications of artificial intelligence in sleep medicine: a sleep clinician's perspective
A Bandyopadhyay, C Goldstein - Sleep and Breathing, 2023 - Springer
Background The past few years have seen a rapid emergence of artificial intelligence (AI)-
enabled technology in the field of sleep medicine. AI refers to the capability of computer …
enabled technology in the field of sleep medicine. AI refers to the capability of computer …
A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram
The success of deep learning over the traditional machine learning techniques in handling
artificial intelligence application tasks such as image processing, computer vision, object …
artificial intelligence application tasks such as image processing, computer vision, object …
Deep recurrent neural networks for automatic detection of sleep apnea from single channel respiration signals
Sleep apnea is a common sleep disorder that causes repeated breathing interruption during
sleep. The performance of automated apnea detection methods based on respiratory …
sleep. The performance of automated apnea detection methods based on respiratory …
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 …
world, more and more people are suffering from OSA. Because of the limitation of monitor …
Detection of sleep apnea from heart beat interval and ECG derived respiration signals using sliding mode singular spectrum analysis
The heartbeat interval (HBI) signal (RR-time series), and electrocardiogram (ECG) derived
respiration (EDR) signal quantify the information about the cardiopulmonary activity, and …
respiration (EDR) signal quantify the information about the cardiopulmonary activity, and …
[Retracted] A Comprehensive Review: Computational Models for Obstructive Sleep Apnea Detection in Biomedical Applications
Obstructive sleep apnea (OSA) is a sleep disorder characterized by periodic episodes of
partial or complete upper airway obstruction caused by narrowing or collapse of the …
partial or complete upper airway obstruction caused by narrowing or collapse of the …
Multitask residual shrinkage convolutional neural network for sleep apnea detection based on wearable bracelet photoplethysmography
Sleep apnea syndrome (SAS) is a common chronic respiratory disorder, which seriously
harms human health. In order to realize the large-scale promotion of SAS detection, the SAS …
harms human health. In order to realize the large-scale promotion of SAS detection, the SAS …