Deep recurrent neural networks for automatic detection of sleep apnea from single channel respiration signals

H ElMoaqet, M Eid, M Glos, M Ryalat, T Penzel - Sensors, 2020 - mdpi.com
Sleep apnea is a common sleep disorder that causes repeated breathing interruption during
sleep. The performance of automated apnea detection methods based on respiratory …

A sleep apnea detection system based on a one-dimensional deep convolution neural network model using single-lead electrocardiogram

HY Chang, CY Yeh, CT Lee, CC Lin - Sensors, 2020 - mdpi.com
Many works in recent years have been focused on developing a portable and less
expensive system for diagnosing patients with obstructive sleep apnea (OSA), instead of …

Deep Learning Approaches for Early Detection of Obstructive Sleep Apnea Using Single-Channel ECG: A Systematic Literature Review

N Singh, RH Talwekar - International Conference on Biomedical …, 2024 - Springer
In this paper, we aimed to analyze and review various deep-learning approaches for
obstructive sleep apnea (OSA) detection using single-channel ECG. The aim is to …

Obstructive sleep apnea detection based on sleep sounds via deep learning

B Wang, X Tang, H Ai, Y Li, W Xu… - Nature and Science of …, 2022 - Taylor & Francis
Purpose This study aimed to propose a novel deep-learning method for automatic sleep
apneic event detection and thus to estimate the apnea hypopnea index (AHI) and identify …

Sleep apnea detection from single-lead ECG: A comprehensive analysis of machine learning and deep learning algorithms

M Bahrami, M Forouzanfar - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Sleep apnea is a common sleep breathing disorder (SBD) in which patients suffer from
stopping or decreasing airflow to the lungs for more than 10 sec. Accurate detection of sleep …

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 …

Deep Attention Networks With Multi-Temporal Information Fusion for Sleep Apnea Detection

M Jiao, C Song, X Xian, S Yang… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
Sleep Apnea (SA) is a prevalent sleep disorder with multifaceted etiologies that can have
severe consequences for patients. Diagnosing SA traditionally relies on the in-laboratory …

Convolutional neural networks for Apnea detection from smartphone audio signals: effect of window size

Y Castillo-Escario, L Werthen-Brabants… - 2022 44th Annual …, 2022 - ieeexplore.ieee.org
Although sleep apnea is one of the most prevalent sleep disorders, most patients remain
undiagnosed and untreated. The gold standard for sleep apnea diagnosis …

[PDF][PDF] An Automated System for Sleep Apnea Detection

S Nasser, N Elfadil - 2023 - academia.edu
Sleep apnea (SA) is a common sleep-related breathing disorder that can occur hundreds of
times per night and can lead to catastrophic cardiovascular and neurological disorders if it …

[PDF][PDF] An Efficient Method to Detect Sleep Apnea

S Reddy - nternational Journal of Advances in Engineering and …, 2023 - ijaem.net
Insufficient alveolar ventilation during the course of a night's sleep results in hypopnea,
which is characterized by a greater than 50% reduction in respiratory airflow. However …