Classification of sleep apnea based on sub-band decomposition of EEG signals

R Jayaraj, J Mohan - Diagnostics, 2021 - mdpi.com
To classify between normal and sleep apnea subjects based on sub-band decomposition of
electroencephalogram (EEG) signals. This study comprised 159 subjects obtained from the …

Automatic detection of sleep apnea events based on inter‐band energy ratio obtained from multi‐band EEG signal

S Saha, A Bhattacharjee… - Healthcare technology …, 2019 - Wiley Online Library
Sleep apnea is a potentially serious sleep disorder characterised by abnormal pauses in
breathing. Electroencephalogram (EEG) signal analysis plays an important role for detecting …

Efficient obstructive sleep apnea classification based on EEG signals

WS Almuhammadi, KAI Aboalayon… - 2015 Long Island …, 2015 - ieeexplore.ieee.org
Nowadays, analyzing EEG signals has made it easy to diagnose many sleep-related
breathing disorders such as Obstructive Sleep Apnea (OSA), which is a potentially serious …

Accurate method for sleep stages classification using discriminated features and single eeg channel

RM Hussein, LE George, FS Miften - Biomedical Signal Processing and …, 2023 - Elsevier
Sleep classification can be time-consuming and challenging for professionals since
electroencephalograms (EEGs) need to be segmented, evaluated, and manually annotated …

Detection of apnea events from ECG segments using Fourier decomposition method

B Fatimah, P Singh, A Singhal, RB Pachori - Biomedical Signal Processing …, 2020 - Elsevier
Absence of airflow in breathing during sleep for more than 10 s is known as sleep apnea. It
causes low oxygen levels in the blood which may lead to many cardiovascular problems …

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) …

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 …

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 …

Brain connectivity analysis based classification of obstructive sleep apnea using electroencephalogram signals

J Rajeswari, M Jagannath - Scientific Reports, 2024 - nature.com
Obstructive sleep apnea (OSA) is a disorder which blocks the upper airway during sleep.
The severity of OSA will lead heart attack, stroke and end of life. This proposed study …

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 …