[引用][C] Prediction of Sleep Apnea Events Using a CNN–Transformer Network and Contactless Breathing Vibration Signals. Bioengineering 2023, 10, 746
Y Chen, S Yang, H Li, L Wang, B Wang - 2023 - europepmc.org
It is estimated that globally 425 million subjects have moderate to severe obstructive sleep
apnea (OSA). The accurate prediction of sleep apnea events can offer insight into the …
apnea (OSA). The accurate prediction of sleep apnea events can offer insight into the …
Prediction of Sleep Apnea Events Using a CNN–Transformer Network and Contactless Breathing Vibration Signals
Y Chen, S Yang, H Li, L Wang, B Wang - Bioengineering, 2023 - mdpi.com
It is estimated that globally 425 million subjects have moderate to severe obstructive sleep
apnea (OSA). The accurate prediction of sleep apnea events can offer insight into the …
apnea (OSA). The accurate prediction of sleep apnea events can offer insight into the …
Sleep Apnea Prediction Using Deep Learning
Obstructive sleep apnea (OSA) is a sleep disorder that causes partial or complete cessation
of breathing during an individual's sleep. Various methods have been proposed to …
of breathing during an individual's sleep. Various methods have been proposed to …
Pilot study of contactless sleep apnea detection based on snore signals with hardware implementation
H Li, X Lin, Y Lu, M Wang… - Physiological …, 2023 - iopscience.iop.org
Objective. Sleep apnea has a high incidence and is a potentially dangerous disease, and its
early detection and diagnosis are challenging. Polysomnography (PSG) is considered the …
early detection and diagnosis are challenging. Polysomnography (PSG) is considered the …
Prediction of obstructive sleep apnea using ensemble of recurrence plot convolutional neural networks (RPCNNs) from polysomnography signals
Y Taghizadegan, NJ Dabanloo, K Maghooli… - Medical hypotheses, 2021 - Elsevier
Abstract Obstructive Sleep Apnea (OSA) is a common disorder characterized by periodic
cessation of breathing during sleep. OSA affects daily life and poses a severe threat to …
cessation of breathing during sleep. OSA affects daily life and poses a severe threat to …
Real-time prediction of upcoming respiratory events via machine learning using snoring sound signal
B Wang, X Yi, J Gao, Y Li, W Xu, J Wu… - Journal of Clinical Sleep …, 2021 - jcsm.aasm.org
Study Objectives: The aim of the study was to inspect the acoustic properties and sleep
characteristics of a preapneic snoring sound. The feasibility of forecasting upcoming …
characteristics of a preapneic snoring sound. The feasibility of forecasting upcoming …
Data-driven Modeling and Prediction of Obstructive Sleep Apnea based on Physics-guided Pathophysiological Understanding
Obstructive sleep apnea (OSA) is the most common sleep orientated breathing disorder.
OSA is characterized by upper airway obstruction, which is highly body position dependent …
OSA is characterized by upper airway obstruction, which is highly body position dependent …
[PDF][PDF] Deep learning to detect obstructive sleep apnea events from breathing
S Hamnvik - 2021 - duo.uio.no
Obstructive sleep apnea is a common sleeping disorder estimated to affect nearly one billion
adults worldwide. It occurs when soft tissues block the airways during sleep, causing a stop …
adults worldwide. It occurs when soft tissues block the airways during sleep, causing a stop …
Sleep apnea event prediction using convolutional neural networks and Markov chains
Obstructive sleep apnea is a breathing disorder affecting 2-4% of the adult population. It is
characterized by periods of reduced breathing (hypopnea) or no breathing (apnea). Several …
characterized by periods of reduced breathing (hypopnea) or no breathing (apnea). Several …
DeepWave: Non-contact acoustic receiver powered by deep learning to detect sleep apnea
Q Zhang, R Boente - 2020 IEEE 20th international conference …, 2020 - ieeexplore.ieee.org
Sleep apnea impacts one billion people worldwide and if left untreated, increases risk for
stroke by two times, and risk for cardiovascular mortality by five times. Traditional sleep …
stroke by two times, and risk for cardiovascular mortality by five times. Traditional sleep …