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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F20%3A50017465" target="_blank" >RIV/62690094:18450/20:50017465 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.frontiersin.org/articles/10.3389/fphys.2020.602027/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fphys.2020.602027/full</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3389/fphys.2020.602027" target="_blank" >10.3389/fphys.2020.602027</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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. © Copyright © 2020 Mujib Kamal, Babini, Krejcar and Namazi.

Název v anglickém jazyce

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

Popis výsledku anglicky

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. © Copyright © 2020 Mujib Kamal, Babini, Krejcar and Namazi.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30105 - Physiology (including cytology)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Frontiers in Physiology

ISSN

1664-042X

e-ISSN

—

Svazek periodika

11

Číslo periodika v rámci svazku

November

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

8

Strana od-do

"Article number 602027"

Kód UT WoS článku

000596557000001

EID výsledku v databázi Scopus

2-s2.0-85097342340