Title :
A robust, simple and reliable measure of heart rate variability using relative RR intervals
Author_Institution :
Department of Mathematics and Computer Science, University of Greifswald, Germany
Abstract :
Background: Heart Rate Variability (HRV) is a physiological marker of the autonomic activity of the heart. For patients with cardiological diseases it has been used for risk stratification and health prediction. Other applications extend from psychology to sports science. However, in case of heart rate changes many standard measures are unreliable. Methods: A new geometric measure for HRV is introduced. It is based on relative RR intervals, the difference of consecutive RR intervals weighted by their mean. Results: The proposed measure is simple, robust and reasonable for computing HRV. It can be applied even to short RR sequences with artifacts and missing values.
Keywords :
"Robustness","Histograms","Heart rate variability","Visualization","MATLAB"
Conference_Titel :
Computing in Cardiology Conference (CinC), 2015
Print_ISBN :
978-1-5090-0685-4
Electronic_ISBN :
2325-887X
DOI :
10.1109/CIC.2015.7410984