… approach outperforms classical recurrence quantitative analysis used in existing approaches
for OSA detection… During sleep apnea, the cessation of respiratory process reduces blood …

… Thus, the obstructive sleep apnea detection technique in this paper is one order of magnitude
more energy-efficient than our previous work [42], while having better classification results …

… sleep apnea from a cardiac rate point of view, using Recurrence Quantification Analysis (RQA),
based on a Heart Rate Variability (HRV) feature selection process. Three parameters are …

… For obstructive sleep apnea (OSA) patients, sleep … or based on statistical methods. This
work will investigate the use of the so called Recurrence Quantification Analysis (RQA) for sleep/…

… medicine to evaluate an individual’s sleep quality. In the study described in this paper, an
algorithm based on recurrence quantification analysis (RQA) was applied to a time series …

… sleep apnea (OSA) is the most prevalent sleep disorder that occurs repetitively throughout the
night sleep… severity of the sleep apnea syndrome, such as the apnea and hypopnea index (…

… 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 …

… These classifiers use features from HRV and recurrence quantification analysis of the
HRV. The classifier outputs were combined using a soft decision fusion rule that performs a …

… [54] LW Charles, PZ Joseph, Recurrence quantification analysis of nonlinear dynamical
systems. Tutorials in contemporary nonlinear methods for the behavioral sciences. 2005; 26-94. […

… legend, the reader is referred to the Web version of this article.) Table 3 shows the sensitivity
and specificity of our proposed algorithm to diagnose sleep apnea for different AHI cutoffs. …