[PDF][PDF] Classification of sleep apnea with artificial intelligence
S Zhang, H You, H Lin, X Qian, Q He, H Hu, F Xiong… - Biophysics, 2020 - pdf.hanspub.org
Sleep apnea is a breathing disorder associated with sleep, commonly known as sleep
apnea syndrome, which affects about 4% of the general population. It requires professionals …
apnea syndrome, which affects about 4% of the general population. It requires professionals …
Mitigating the class imbalance effect in Sleep Apnea Classification
The prediction of Sleep Apnea and its classification into Apnea and Hypopnea in people
with sleep apnea syndrome has not been thoroughly investigated. The primary source of …
with sleep apnea syndrome has not been thoroughly investigated. The primary source of …
EEG-based multioutput classification of sleep stage and apnea using deep learning
Sleep is closely related to physical and mental health and quality of life, and accurately
evaluating sleep quality remains a major research topic in related fields. Conventional …
evaluating sleep quality remains a major research topic in related fields. Conventional …
A deep learning-based method for sleep stage classification using physiological signal
G Huang, CH Chu, X Wu - … Conference, ICSH 2018, Wuhan, China, July 1 …, 2018 - Springer
A huge number of people suffers from different types of sleep disorders, such as insomnia,
narcolepsy, and apnea. A correct classification of their sleep stage is a prerequisite and …
narcolepsy, and apnea. A correct classification of their sleep stage is a prerequisite and …
Comparing the performances of deep learning model with different signals underlying resampling techniques to classify sleep apnea
U Jansri, S Tretriluxana - 2023 9th International Conference on …, 2023 - ieeexplore.ieee.org
Millions of people around the world are suffering from long term Sleep Apnea. Full scale
sleep test is costly and time-consuming. This paper, using deep learning model, chose a …
sleep test is costly and time-consuming. This paper, using deep learning model, chose a …
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 …
Detection of obstructive sleep apnea using deep neural network
Sleep apnea is a serious sleep disorder phenomena that occurs when a person's breathing
is interrupted during sleep. The most common diagnostic technique that is used to deal with …
is interrupted during sleep. The most common diagnostic technique that is used to deal with …
Deep learning framework for automatic detection and classification of sleep apnea severity from polysomnography signals
A Raja Brundha, A Lakshmi Sangeetha… - Neural Computing and …, 2024 - Springer
Sleep apnea (SA) is a sleep-related breathing disorder characterized by breathing pauses
during sleep. A person's sleep schedule is significantly influenced by that person's hectic …
during sleep. A person's sleep schedule is significantly influenced by that person's hectic …
[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 …
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 …