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

Frontiers in Physiology

Ondrej Krejcar¹  Hamidreza Namazi¹  Mohammad Hossein Babini²  Shahul Mujib Kamal² 

[1] Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Králové, Hradec Králové, Czechia;School of Engineering, Monash University Malaysia, Selangor, Malaysia;

关键词: walking path;    sample entropy;    heart rate variability;    complexity;    fractal exponent;   

DOI  :  10.3389/fphys.2020.602027

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown