ECG based sleep apnea detection using wavelet analysis of instantaneous heart rates

I Delibaşoǧlu, C Avci, A Akbaş - … of the 4th International Symposium on …, 2011 - dl.acm.org
The time series of instantaneous heart rates (IHR) derived from overnight sleep
electrocardiography (ECG) are analyzed by using wavelet decompositions. It is aimed to find …

Detection of sleep apnea events using electroencephalogram signals

S Taran, V Bajaj, GR Sinha, K Polat - Applied Acoustics, 2021 - Elsevier
Sleep apnea is breathing disorder that leads to other disorders related to the brain and
heart. This paper proposes detection of sleep apnea using a single feature Lampel-Ziv …

Automated scoring of obstructive sleep apnea and hypopnea events using short-term electrocardiogram recordings

AH Khandoker, J Gubbi… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
Obstructive sleep apnea or hypopnea causes a pause or reduction in airflow with
continuous breathing effort. The aim of this study is to identify individual apnea and …

Automatic Detection of Sleep Apnea from Single-lead ECG Signal Using Machine Learning

A Bhongade, R Gupta… - … Conference on Futuristic …, 2022 - ieeexplore.ieee.org
Sleep apnea is a common disorder that reduces sleep quality which can lead to serious
health consequences. It is identified by a pause in breathing during sleep. At present …

Analysis of features extracted from EEG epochs by discrete wavelet decomposition and Hilbert transform for sleep apnea detection

MA Prucnal, AG Polak - … conference of the IEEE engineering in …, 2018 - ieeexplore.ieee.org
Sleep apnea (SA) is one of the most common disorders manifesting during sleep and the
electroencephalo-gram (EEG) belongs to these biomedical signals that change during …

Sleep apnea detection from ECG using variational mode decomposition

H Sharma, KK Sharma - Biomedical Physics & Engineering …, 2020 - iopscience.iop.org
Sleep apnea is a pervasive breathing problem during night sleep, and its repetitive
occurrence causes various health problems. Polysomnography is commonly used for apnea …

Classification of Obstructive Sleep Apnoea from single-lead ECG signals using convolutional neural and Long Short Term Memory networks

H Almutairi, GM Hassan, A Datta - Biomedical Signal Processing and …, 2021 - Elsevier
Abstract Obstructive Sleep Apnoea (OSA) is a breathing disorder that happens during sleep.
Polysomnography (PSG) is typically used as a reference standard for the diagnosis of OSA …

Computer-aided obstructive sleep apnea screening from single-lead electrocardiogram using statistical and spectral features and bootstrap aggregating

AR Hassan, MA Haque - Biocybernetics and Biomedical Engineering, 2016 - Elsevier
Automatic sleep apnea screening is important to alleviate the onus of the physicians of
analyzing a large volume of data visually. Again, the push towards low-power, portable and …

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 …

Application of an optimal class of antisymmetric wavelet filter banks for obstructive sleep apnea diagnosis using ECG signals

M Sharma, S Agarwal, UR Acharya - Computers in biology and medicine, 2018 - Elsevier
Obstructive sleep apnea (OSA) is a sleep disorder caused due to interruption of breathing
resulting in insufficient oxygen to the human body and brain. If the OSA is detected and …