… Multiple types of literature works have utilized ECG signals for sleep apnea detection and …
of sleep apnea based on EEG signals, which motivated us to use EEG signals for sleep apnea …

… apnea events. Herein, we proposed a method to automatically distinguish sleep apnea events
using characteristics of EEG signals … classify sleep apnea events based on EEG signals. …

… In this paper, we propose a method based on the combination of discrete wavelet transform
and approximate entropy of EEG signals to detect sleep apnea and hypopnea events. For …

… signals are useful for detecting different types of sleep disorders. This paper aims in detecting
obstructive sleep apnea … The EEG signal is extracted from the polysomnographic database …

… sleep apnea EEG signals. The LZC feature is computed from sub-bands (SBs) of EEG signals
… This paper proposed a single feature based sleep apnea EEG signals detection method. …

… Signals from the EEG are frequently employed in sleep staging. The use of EEG signals
can aid in ensuring the sleep status of the patient and to classify the sleep apnea events more …

… for the detection of sleep apnea frames from electroencephalogram (EEG) signals. Unlike
conventional methods of direct feature extraction from EEG signals, the variational mode …

… Complexity features in EEG signal have been proposed to detect apnea in this work. Finally,
we had 120 features that were extracted from 6 frequency bands. Accuracy of classification (…

… Thanks to the EEG, we transform these activities into digital data. In … , EEG signals recorded
from 4 patients during sleep were processed on MATLAB. Sleep recordings of different sleep …

… sleep apnea events at the point of care. This paper introduces an energy-efficient FPGA-based
apnea detection system using EEG signals … extracted from specific EEG bands, achieves …