Key result
Walking on paths with greater complexity significantly decreased the complexity of heart rate variability, demonstrating a strong negative correlation (R = -0.8657) between the fractal exponents of HRV and walking paths.
Why the study?
Because walking affects heart rate variability, this study evaluated the coupling between alterations in the complexity of walking paths and heart rate variability.
Does walking on paths with varying complexities alter the complexity of heart rate variability in healthy individuals?
Cross-Sectional (n=9)
No
Does walking on paths with varying complexities alter the complexity of heart rate variability in healthy individuals?
Walking on paths with greater complexity significantly decreases the complexity of heart rate variability, demonstrating a physiological coupling between movement path complexity and cardiac autonomic regulation.
Answers are grounded in this paper and cite their sources.
May inform ambulatory HRV interpretation during varied walking; hypothesis-generating and requires prospective validation before clinical use.
Walking is an everyday activity in our daily life. Because walking affects heart rate variability, in this research, for the first time, we analyzed the coupling among the alterations of the complexity of walking paths and heart rate. We benefited from the fractal theory and sample entropy to evaluate the influence of the complexity of paths on the complexity of heart rate variability (HRV) during walking. We calculated the fractal exponent and sample entropy of the R-R time series for nine participants who walked on four paths with various complexities. The findings showed a strong coupling among the alterations of fractal dimension (an indicator of complexity) of HRV and the walking paths. Besides, the result of the analysis of sample entropy also verified the obtained results from the fractal analysis. In further studies, we can analyze the coupling among the alterations of the complexities of other physiological signals and walking paths.
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Kamal et al. (2020) conducted a cross-sectional in Healthy (n=9). Walking on paths with varying complexities vs. Rest condition was evaluated on Fractal dimension of heart rate variability (R = -0.8657, p=0.0320). Walking on paths with greater complexity significantly decreased the complexity of heart rate variability, demonstrating a strong negative correlation (R = -0.8657) between the fractal exponents of HRV and walking paths.
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