… the EEG signals of 18 sleep apnea patients and we analyzed the performance of the proposed
method. The input EEG signals … ; and are annotated with Apnea-Hypopnea Index values. …

… This work studied the Obstructive Sleep Apnea detection using the EEG signal, based on
a significant filtering and classification approach. According to the experimental results that …

… 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 …

… 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 …

… 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. …

… Wavelet transforms and an artificial neural network (ANN) algorithm were applied to the EEG
signal in [12] to find a solution to the problem of identifying sleep apnea (SA) episodes. The …

… sleep apnea of different individuals is accurately diagnosed according to the EMG, ECG and
EEG signals… of the EMG, ECG and EEG signals are used because these signals are non-…

… 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 …

… brain in sleep disordered breathing events with or without arousals. ECG and EEG signals
during NREM and REM sleep were examined for location of the pre-scored apnea events. …

… 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. …