Abstract
This paper deals with a problem of signal processing of heart rate variability (HRV) with emphasis on a detection of similarity between the HRV and respiration signal. Different heart rate variability tests were used to reach this goal.
We also have performed tests with spontaneous respiration signals in order to compare our results. Linear (mean, standard deviation etc.) and nonlinear methods (Poincare plot), that work in both time and frequency domain, were used.
Influence of naturalness of breathing pattern was also detected. The known fact that the HRV stay similar to previous pattern during first 20 seconds of apnea phase (special respiration pattern with no breathing) was confirmed.
A result of this research is a confirmation of the previous results and a basic detection of the time delay between the HRV and respiration.