Sleep Apnea Detection by Tracheal Motion and Sound, and Oximetry via Application of Deep Neural Networks

N Montazeri Ghahjaverestan, C Aguiar… - Nature and Science …, 2023 - Taylor & Francis
Purpose Sleep apnea (SA) is highly prevalent, but under diagnosed due to inaccessibility of
sleep testing. To address this issue, portable devices for home sleep testing have been …

Instantaneous heart rate as a robust feature for sleep apnea severity detection using deep learning

RK Pathinarupothi, R Vinaykumar… - 2017 IEEE EMBS …, 2017 - ieeexplore.ieee.org
Automated sleep apnea detection and severity identification has largely focused on
multivariate sensor data in the past two decades. Clinically too, sleep apnea is identified …

Sensor fusion using backward shortcut connections for sleep apnea detection in multi-modal data

T Van Steenkiste, D Deschrijver… - Machine Learning for …, 2020 - proceedings.mlr.press
Sleep apnea is a common respiratory disorder characterized by breathing pauses during the
night. Consequences of untreated sleep apnea can be severe. Still, many people remain …

A Comprehensive Feature Aggregation Network for Sleep Apnea Detection using Respiratory Signals

S Shu, K He - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
Sleep apnea is a prevalent sleep disorder that poses a significant public health concern.
Polysomnography, the gold standard for detecting sleep apnea, is costly and time …

[HTML][HTML] Sleep disorder and apnea events detection framework with high performance using two-tier learning model design

RS Arslan - PeerJ Computer Science, 2023 - peerj.com
Sleep apnea is defined as a breathing disorder that affects sleep. Early detection of sleep
apnea helps doctors to take intervention for patients to prevent sleep apnea. Manually …

Automate Obstructive Sleep Apnea Diagnosis Using Convolutional Neural Networks

L Feng, X Wang - Recent Developments in Mathematical, Statistical and …, 2021 - Springer
Identifying sleep problem severity from overnight polysomnography (PSG) recordings plays
an important role in diagnosing and treating sleep disorders such as the Obstructive Sleep …

Obstructive Sleep Apnea Classification Using Snore Sounds Based on Deep Learning

A Sillaparaya, A Bhatranand… - 2022 Asia-Pacific …, 2022 - ieeexplore.ieee.org
Early screening for the Obstructive Sleep Apnea (OSA), especially the first grade of Apnea-
Hypopnea Index (AHI), can reduce risk and improve the effectiveness of timely treatment …

[HTML][HTML] DCDA-Net: dual-convolutional dual-attention network for obstructive sleep apnea diagnosis from single-lead electrocardiograms

N Ullah, T Mahmood, SG Kim, SH Nam, H Sultan… - … Applications of Artificial …, 2023 - Elsevier
Obstructive sleep apnea (OSA) is a breathing-related chronic disease in which the soft
palate and tongue collapse and block the upper airway for at least 10 s during sleep. It can …

[HTML][HTML] Obstructive sleep apnea event detection using explainable deep learning models for a portable monitor

ÁS Alarcón, NM Madrid, R Seepold… - Frontiers in …, 2023 - frontiersin.org
Background Polysomnography (PSG) is the gold standard for detecting obstructive sleep
apnea (OSA). However, this technique has many disadvantages when using it outside the …

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 …