Cross correlation and scatter plots of the heart rate variability and R-peak Envelope as features in the detection of obstructive sleep apnea

Abstract

Interbeat heart rate as measured by the RR interval (RR) and R-Peak Envelope (RPE) are two signals that can be extracted from an Electrocardiogram (ECG) with relative ease and high reliability. RR and RPE have been shown to carry markers for detecting sleep disordered breathing (SDB). In this pilot study, we explore the cross correlation of RR and RPE in normal and SDB patients. Nocturnal ECG from 7 normal subjects and 7 SDB patients were used to obtain RR and RPE. The results revealed that the cross correlation of RR and RPE signals is significantly different between normal subjects and SDB patients (p 2x10(-6)). Furthermore, a new scatter plot of RR vs. RPE was developed. Optimum features from the RR vs. RPE scatter plot were extracted and used as input to a multilayer perceptron (MLP) classifier to distinguish between normal and SDB subjects, The detection sensitivity, specificity and accuracy for the training data set were 95.0%, 100.0%, and 97.5%, respectively; and for the test data were 76.6%, 93.2%, and 84.7%, respectively.

Sixteen weeks of aerobic training influence spirometry, s-klotho, and hemodynamic responses to sub-maximal exercise testing in obese men with severe obstructive sleep apnea

“…Inconsistency in RPE has been noted in healthy people 68 and in people with COPD, often compared to people with OSA, since people with COPD may be diagnosed as OSA as well, and vice versa, as well as the obstructive aspects. [69][70][71] Citation: Saghiv M, Sawhney M, Welch L, et al Sixteen weeks of aerobic training influence spirometry, s-klotho, and hemodynamic responses to sub-maximal exercise testing in obese men with severe obstructive sleep apnea. Sleep Med Dis Int J.…”

Novel approach for visualization of patient monitoring parameters

“…If the consecutive parameter values had a similar duration, the scatterplot showed a 'torpedo-like' pattern and the complexity was considered to be low. In contrast, if the differences between consecutive values were large, then there was a widely dispersed pattern and high complexity was assumed [13][14]. But classic scatter plot loss time-actuality information.…”