Key result
Variance-based and runs-based heart rate asymmetry were highly significantly associated with asymmetric detrended fluctuation analysis scaling exponents (p < 0.0001).
Why the study?
The relation between recently established asymmetry in Asymmetric Detrended Fluctuation Analysis and Heart Rate Asymmetry was unknown.
Cross-Sectional (n=388)
Demonstrates a strong association between heart rate asymmetry and asymmetric detrended fluctuation analysis results in healthy subjects, suggesting a shared underlying physiological mechanism despite disparate mathematical approaches.
ADFA asymmetry metrics may enhance HRV analysis; leaves open their added clinical value pending validation.
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., [Formula: see text] 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. 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.
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Piskorski et al. (2022) conducted a cross-sectional in Healthy (n=388). Heart rate asymmetry (HRA) was evaluated on Association between variance-based/runs-based HRA descriptors and asymmetric detrended fluctuation analysis (ADFA) scaling exponents (p=<0.0001). Variance-based and runs-based heart rate asymmetry were highly significantly associated with asymmetric detrended fluctuation analysis scaling exponents (p < 0.0001).
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