Associations between heart rate asymmetry expression and asymmetric detrended fluctuation analysis results

• Published in: Medical & biological engineering & computing Vol. 60; no. 10; pp. 2969 - 2979
• Main Authors: Piskorski, J., Kośmider, M., Mieszkowski, D., Żurek, S., Biczuk, B., Jurga, S., Krauze, T., Wykrętowicz, A., Guzik, P.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2022; Springer Nature B.V
• Subjects: Asymmetry; Bioengineering; Biomedical and Life Sciences; Biomedical Engineering and Bioengineering; Biomedicine; Computer Applications; Electrocardiography - methods; Exponents; Heart rate; Heart Rate - physiology; Human Physiology; Imaging; Loess; Original; Original Article; Physiology; Radiology; Signal analysis; Time series; Trends; ADFA; Asymmetry; HRV; RR intervals; HRA
• ISSN: 0140-0118; 1741-0444; 1741-0444
• DOI: 10.1007/s11517-022-02645-6

The relation between recently established asymmetry in Asymmetric Detrended Fluctuation Analysis (ADFA) and Heart Rate Asymmetry is studied. It is found that the ADFA asymmetric exponents are related both to the overall variability and to its asymmetric components at all studied time scales. We find that the asymmetry in scaling exponents, i.e., α + < α - is associated with both variance-based and runs-based types of asymmetry. This observation suggests that the physiological mechanisms of both types are similar, even though their origins and mathematical methods are very different. Graphical abstract The graphical abstract demonstrates strong, nonlinear association between the expression of Heart Rate Asymmetry measured using relative descriptors and the Asymmetric Detrended Fluctuation Analysis results. It is clear that there is a strong relation between the two theoretically disparate approaches to signal analysis. The technique to demonstrate the association is loess fit.