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 …
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 …
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 …
SleepPPG-Net: A deep learning algorithm for robust sleep staging from continuous photoplethysmography
K Kotzen, PH Charlton, S Salabi, L Amar… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Sleep staging is an essential component in the diagnosis of sleep disorders and
management of sleep health. Sleep is traditionally measured in a clinical setting and …
management of sleep health. Sleep is traditionally measured in a clinical setting and …
Real-time apnea-hypopnea event detection during sleep by convolutional neural networks
Sleep apnea-hypopnea event detection has been widely studied using various biosignals
and algorithms. However, most minute-by-minute analysis techniques have difficulty …
and algorithms. However, most minute-by-minute analysis techniques have difficulty …
Deep learning for obstructive sleep apnea diagnosis based on single channel oximetry
Obstructive sleep apnea (OSA) is a serious medical condition with a high prevalence,
although diagnosis remains a challenge. Existing home sleep tests may provide acceptable …
although diagnosis remains a challenge. Existing home sleep tests may provide acceptable …
Sleep staging from electrocardiography and respiration with deep learning
Abstract Study Objectives Sleep is reflected not only in the electroencephalogram but also in
heart rhythms and breathing patterns. We hypothesized that it is possible to accurately stage …
heart rhythms and breathing patterns. We hypothesized that it is possible to accurately stage …
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) …
A deep transfer learning approach for wearable sleep stage classification with photoplethysmography
Unobtrusive home sleep monitoring using wrist-worn wearable photoplethysmography
(PPG) could open the way for better sleep disorder screening and health monitoring …
(PPG) could open the way for better sleep disorder screening and health monitoring …
Sleep apnea severity estimation from tracheal movements using a deep learning model
Objective: Sleep apnea is a chronic respiratory disorder and its standard assessment
requires full night in-laboratory polysomnography (PSG). However, PSG is expensive, time …
requires full night in-laboratory polysomnography (PSG). However, PSG is expensive, time …