A review of obstructive sleep apnea detection approaches

F Mendonca, SS Mostafa… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Sleep disorders are a common health condition that can affect numerous aspects of life.
Obstructive sleep apnea is one of the most common disorders and is characterized by a …

Sleep stage classification based on multi-level feature learning and recurrent neural networks via wearable device

X Zhang, W Kou, I Eric, C Chang, H Gao, Y Fan… - Computers in biology and …, 2018 - Elsevier
Background Automatic sleep stage classification is essential for long-term sleep monitoring.
Wearable devices show more advantages than polysomnography for home use. In this …

Detection of obstructive sleep apnea through ECG signal features

L Almazaydeh, K Elleithy… - 2012 IEEE International …, 2012 - ieeexplore.ieee.org
Obstructive sleep apnea (OSA) is a common disorder in which individuals stop breathing
during their sleep. Most of sleep apnea cases are currently undiagnosed because of …

Obstructive sleep apnea detection using SVM-based classification of ECG signal features

L Almazaydeh, K Elleithy… - 2012 annual international …, 2012 - ieeexplore.ieee.org
Sleep apnea is the instance when one either has pauses of breathing in their sleep, or has
very low breath while asleep. This pause in breathing can range in frequency and duration …

FENet: A frequency extraction network for obstructive sleep apnea detection

G Ye, H Yin, T Chen, H Chen, L Cui… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Obstructive Sleep Apnea (OSA) is a highly prevalent but inconspicuous disease that
seriously jeopardizes the health of human beings. Polysomnography (PSG), the gold …

[HTML][HTML] Sleep apnea classification algorithm development using a machine-learning framework and bag-of-features derived from electrocardiogram spectrograms

CY Lin, YW Wang, F Setiawan, NTH Trang… - Journal of Clinical …, 2021 - mdpi.com
Background: Heart rate variability (HRV) and electrocardiogram (ECG)-derived respiration
(EDR) have been used to detect sleep apnea (SA) for decades. The present study proposes …

[HTML][HTML] Portable sleep apnea syndrome screening and event detection using long short-term memory recurrent neural network

HC Chang, HT Wu, PC Huang, HP Ma, YL Lo… - Sensors, 2020 - mdpi.com
Obstructive sleep apnea/hypopnea syndrome (OSAHS) is characterized by repeated airflow
partial reduction or complete cessation due to upper airway collapse during sleep. OSAHS …

[PDF][PDF] A neural network system for detection of obstructive sleep apnea through SpO2 signal features

L Almazaydeh, M Faezipour… - International Journal of …, 2012 - researchgate.net
Obstructive sleep apnea (OSA) is a common disorder in which individuals stop breathing
during their sleep. These episodes last 10 seconds or more and cause oxygen levels in the …

Obstructive sleep apnea detection with nonlinear analysis of speech

D Yılmaz, M Yıldız, YU Toprak, S Yetkin - Biomedical Signal Processing …, 2023 - Elsevier
Studies on the detection of Obstructive Sleep Apnea (OSA) from speech recording have
brought an important innovation to this field. This study is based on the hypothesis that the …

On the potential of transauricular electrical stimulation to reduce visually induced motion sickness

E Molefi, I McLoughlin, R Palaniappan - Scientific Reports, 2023 - nature.com
Perturbations in the autonomic nervous system occur in individuals experiencing increasing
levels of motion sickness. Here, we investigated the effects of transauricular electrical …