Complexity-Based Decoding of the Coupling Among Heart Rate Variability (HRV) and Walking Path

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 evalua...

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Published inFrontiers in physiology Vol. 11; p. 602027
Main Authors Mujib Kamal, Shahul, Babini, Mohammad Hossein, Krejcar, Ondrej, Namazi, Hamidreza
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 25.11.2020
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Summary: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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Edited by: Sebastiano Stramaglia, University of Bari Aldo Moro, Italy
Reviewed by: Farhad Pourpanah, Shenzhen University, China; Erfan Aghasian, University of Tasmania, Australia
This article was submitted to Fractal and Network Physiology, a section of the journal Frontiers in Physiology
ISSN:1664-042X
1664-042X
DOI:10.3389/fphys.2020.602027