… first EEG channel in the Dublin sleep apnea database. Every part was segmented into 8 s
windows (1024 samples = 8 × 128) to create the recurrence plots for the two classes before …

… This study aims to predict obstructive sleep apnea by representing the dynamic behavior
of obstructive sleep apnea using recurrence plots from EEG and ECG channels. Prediction is …

… as measured by recurrence quantification analysis (RQA) … -respiratory system during
obstructive sleep apnea. In order to … of neighbor thresholdings for recurrence plot calculation. We …

… These recurrence matrices (1) are often shown graphically in the form of recurrence plots
(RP)… Accordingly, the recurrent properties of the time series \(x(t_i)\) are presented as geometric …

… recurrence plots (RPs) of the time-delay embedded RR series were tested for their suitability
to detect minute-by-minute phases of sleep apnea … rate variations for sleep apnea detection. …

… Among existing algorithms, recurrence plots and the subsequent recurrence quantitative …
Features (such as deterministic structure) were extracted from recurrence plots and a mixture …

… We propose the analysis of the airflow (AF) signal by means of recurrence plots (RP) features.
The main goal of our study was to evaluate the utility of the information from RPs of the AF …

… We have also proposed unique recurrence plots for the normal, hypopnea and apnea
classes. Detecting sleep apnea with this level of accuracy can potentially reduce the need of …

… [59], which only used convolutional neural networks on recurrence plots, our study
attempts a deeper interpretation of the estimated recurrence features at the level of apnea …

… of RQA of sleep EEGs in sleep apnea syndrome are valuable for analyzing sleep EEGs in
sleep apnea syndrome, we investigated the ability of RQA to discriminate sleep stages and to …