Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works

P Moridian, A Shoeibi, M Khodatars… - … : Data Mining and …, 2022 - Wiley Online Library
Apnea is a sleep disorder that stops or reduces airflow for a short time during sleep. Sleep
apnea may last for a few seconds and happen for many while sleeping. This reduction in …

A Review on the Applications of Time‐Frequency Methods in ECG Analysis

BK Pradhan, BC Neelappu… - Journal of …, 2023 - Wiley Online Library
The joint time‐frequency analysis method represents a signal in both time and frequency.
Thus, it provides more information compared to other one‐dimensional methods. Several …

SCNN: Scalogram-based convolutional neural network to detect obstructive sleep apnea using single-lead electrocardiogram signals

FR Mashrur, MS Islam, DK Saha, SMR Islam… - Computers in Biology …, 2021 - Elsevier
Sleep apnea is a common symptomatic disease affecting nearly 1 billion people around the
world. The gold standard approach for determining the severity of sleep apnea is full-night …

Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry …

M Sharma, D Kumbhani, J Tiwari, TS Kumar… - Computers in Biology …, 2022 - Elsevier
Obstructive sleep apnea (OSA) is a common respiratory disorder marked by interruption of
the respiratory tract and difficulty in breathing. The risk of serious health damage can be …

Detection of sleep apnea from single-lead ECG: Comparison of deep learning algorithms

M Bahrami, M Forouzanfar - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Apnea is a prevalent sleep disorder which has detrimental impacts on human health and
quality of life. Accurate automatic algorithms for the detection of sleep apnea are needed for …

RAFNet: Restricted attention fusion network for sleep apnea detection

Y Chen, H Yue, R Zou, W Lei, W Ma, X Fan - Neural Networks, 2023 - Elsevier
Sleep apnea (SA) is a common sleep-related breathing disorder, which would lead to
damage of multiple systemic organs or even sudden death. In clinical practice, portable …

Automated sleep scoring system using multi-channel data and machine learning

RS Arslan, H Ulutaş, AS Köksal, M Bakır… - Computers in Biology and …, 2022 - Elsevier
Sleep staging is one of the most important parts of sleep assessment and it has an important
role in early diagnosis and intervention of sleep disorders. Manual sleep staging requires a …

Detection of sleep apnea from electrocardiogram and pulse oximetry signals using random forest

J Zhu, A Zhou, Q Gong, Y Zhou, J Huang, Z Chen - Applied Sciences, 2022 - mdpi.com
Sleep apnea (SA) is a common sleep disorder which could impair the human physiological
system. Therefore, early diagnosis of SA is of great interest. The traditional method of …

The novel approach of temporal dependency complexity analysis of heart rate variability in obstructive sleep apnea

L Tang, G Liu - Computers in Biology and Medicine, 2021 - Elsevier
Obstructive sleep apnea (OSA) is a serious sleep disorder, which leads to changes in
autonomic nerve function and increases the risk of cardiovascular disease. Heart rate …

On the generalization of sleep apnea detection methods based on heart rate variability and machine learning

D Padovano, A Martinez-Rodrigo, JM Pastor… - IEEE …, 2022 - ieeexplore.ieee.org
Obstructive sleep apnea (OSA) is a respiratory disorder highly correlated with severe
cardiovascular diseases that has unleashed the interest of hundreds of experts aiming to …