[HTML][HTML] Classification of sleep apnea based on EEG sub-band signal characteristics

X Zhao, X Wang, T Yang, S Ji, H Wang, J Wang… - Scientific Reports, 2021 - nature.com
Sleep apnea syndrome (SAS) is a disorder in which respiratory airflow frequently stops
during sleep. Alterations in electroencephalogram (EEG) signal are one of the physiological …

Detection of abnormal respiratory events with single channel ECG and hybrid machine learning model in patients with obstructive sleep apnea

F Bozkurt, MK Uçar, MR Bozkurt, C Bilgin - Irbm, 2020 - Elsevier
Respiratory scoring is an important step in the diagnosis of Obstructive Sleep Apnea (OSA).
Airflow, abdolmel-thorax and pulse oximetry signals are obtained with the help of …

Performance evaluation of the spectral autocorrelation function and autoregressive models for automated sleep apnea detection using single-lead ECG signal

A Zarei, BM Asl - Computer Methods and Programs in Biomedicine, 2020 - Elsevier
Background and objective: This paper addresses the automated recognition of obstructive
sleep apnea (OSA) from the analysis of single-lead ECG signals. This is one of the most …

Sleep apnea classification using ECG-signal wavelet-PCA features

VP Rachim, G Li, WY Chung - Bio-medical materials and …, 2014 - content.iospress.com
Sleep apnea is often diagnosed using an overnight sleep test called a polysomnography
(PSG). Unfortunately, though it is the gold standard of sleep disorder diagnosis, a PSG is …

Sleep apnea detection based on rician modeling of feature variation in multiband EEG signal

A Bhattacharjee, S Saha, SA Fattah… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Sleep apnea, a serious sleep disorder affecting a large population, causes disruptions in
breathing during sleep. In this paper, an automatic apnea detection scheme is proposed …

Automatic analysis of single-channel sleep EEG: validation in healthy individuals

C Berthomier, X Drouot, M Herman-Stoïca… - Sleep, 2007 - academic.oup.com
Abstract Study Objective: To assess the performance of automatic sleep scoring software
(ASEEGA) based on a single EEG channel comparatively with manual scoring (2 experts) of …

An intelligent sleep apnea classification system based on EEG signals

V Vimala, K Ramar, M Ettappan - Journal of medical systems, 2019 - Springer
Sleep Apnea is a sleep disorder which causes stop in breathing for a short duration of time
that happens to human beings and animals during sleep. Electroencephalogram (EEG) …

A method to detect sleep apnea based on deep neural network and hidden Markov model using single-lead ECG signal

K Li, W Pan, Y Li, Q Jiang, G Liu - Neurocomputing, 2018 - Elsevier
Obstructive sleep apnea (OSA) is the most common sleep-related breathing disorder that
potentially threatened people's cardiovascular system. As an alternative to …

OSACN-Net: automated classification of sleep apnea using deep learning model and smoothed Gabor spectrograms of ECG signal

K Gupta, V Bajaj, IA Ansari - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Obstructive sleep apnea (OSA) is a severe sleep-associated respiratory disorder, caused
due to periodic disruption of breath during sleep. It may cause a number of serious …

Classifier precision analysis for sleep apnea detection using ECG signals

N Pombo, BMC Silva, AM Pinho, N Garcia - Ieee Access, 2020 - ieeexplore.ieee.org
This article presents a study on the efficiency of implementing classifiers for the detection of
sleep apnea moments based on a minute-to-minute Electrocardiogram (ECG) signal …