Detailed assessment of sleep architecture with deep learning and shorter epoch-to-epoch duration reveals sleep fragmentation of patients with obstructive sleep …
Traditional sleep staging with non-overlapping 30-second epochs overlooks multiple sleep-
wake transitions. We aimed to overcome this by analyzing the sleep architecture in more …
wake transitions. We aimed to overcome this by analyzing the sleep architecture in more …
Assessment of obstructive sleep apnea-related sleep fragmentation utilizing deep learning-based sleep staging from photoplethysmography
Abstract Study Objectives To assess the relationship between obstructive sleep apnea
(OSA) severity and sleep fragmentation, accurate differentiation between sleep and …
(OSA) severity and sleep fragmentation, accurate differentiation between sleep and …
Accurate deep learning-based sleep staging in a clinical population with suspected obstructive sleep apnea
The identification of sleep stages is essential in the diagnostics of sleep disorders, among
which obstructive sleep apnea (OSA) is one of the most prevalent. However, manual scoring …
which obstructive sleep apnea (OSA) is one of the most prevalent. However, manual scoring …
Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea
Abstract Study Objectives Accurate identification of sleep stages is essential in the diagnosis
of sleep disorders (eg obstructive sleep apnea [OSA]) but relies on labor-intensive …
of sleep disorders (eg obstructive sleep apnea [OSA]) but relies on labor-intensive …
Sleep staging from single-channel EEG with multi-scale feature and contextual information
K Chen, C Zhang, J Ma, G Wang, J Zhang - Sleep and breathing, 2019 - Springer
Purpose Portable sleep monitoring devices with less-attached sensors and high-accuracy
sleep staging methods can expedite sleep disorder diagnosis. The aim of this study was to …
sleep staging methods can expedite sleep disorder diagnosis. The aim of this study was to …
A state space and density estimation framework for sleep staging in obstructive sleep apnea
DY Kang, PN DeYoung, A Malhotra… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Objective: Although the importance of sleep is increasingly recognized, the lack of robust
and efficient algorithms hinders scalable sleep assessment in healthy persons and those …
and efficient algorithms hinders scalable sleep assessment in healthy persons and those …
U-Sleep: resilient high-frequency sleep staging
Sleep disorders affect a large portion of the global population and are strong predictors of
morbidity and all-cause mortality. Sleep staging segments a period of sleep into a sequence …
morbidity and all-cause mortality. Sleep staging segments a period of sleep into a sequence …
CareSleepNet: A Hybrid Deep Learning Network for Automatic Sleep Staging
Sleep staging is essential for sleep assessment and plays an important role in disease
diagnosis, which refers to the classification of sleep epochs into different sleep stages …
diagnosis, which refers to the classification of sleep epochs into different sleep stages …
Fusion of end-to-end deep learning models for sequence-to-sequence sleep staging
Sleep staging, a process of identifying the sleep stages associated with polysomnography
(PSG) epochs, plays an important role in sleep monitoring and diagnosing sleep disorders …
(PSG) epochs, plays an important role in sleep monitoring and diagnosing sleep disorders …
AI vs Humans for the diagnosis of sleep apnea
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 …
It allows monitoring of breathing events throughout the night. The detection of these events …