Heart Rate Variability Analysis Based on the ECG, PPG, and Mobile HRV Measurements

Abstract

The ECG, PGG, and Mobile Elite HRV measurements are taken into consideration for opportunity to realize a practical, cheap, and easy health condition detection for cardiovascular diagnosis. PPG could be applied for measuring the physiological state of individuals along their ages in daily life to connect healthcare applications with other biosensors. Determination of heart rate variability (HRV), pulse rate variability (PRV) or heart rate fluctuation (HRF) requires accurate and precise measurement of inter beat intervals (IBI) in the ECG (electrocardiogram), PPG (photoplethysmogram), or in Mobile Elite captured signal. In practice, the signals are mathematically collinear which happen when PPG, ECG, and Elite HRV based data is simultaneously sampled and recorded. For both ECG. PPG, and Mobile Elite HRV based IBI can be analyzed by the cumulative sum technique (CUSUM). This technique is for a series of pulsed time signals from any source. Here the results visualization is based on the precise and accurate data on the variance inflation factor (VIF) analysis so that extra or lagging heart beats were cancelled. Then the data is highly correlated with each other based on the correlation coefficient (R2). VIF is very informative factor on the linearity. The statistics of CUSUM-slope (CUMULATIVE SUM OF ABSOLUTE VALUE DIFFERENCES) is as a measure for IBIs captured the average of signals, for which the CUSUM slope is computed. Because we two or even three dependent variables (IBIs) this can provide an elimination of the independent variable (time) for estimating the signal content in the biomedical signal recordings.