Decoding the correlation between heart activation and walking path by information-based analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F23%3A50020132" target="_blank" >RIV/62690094:18450/23:50020132 - isvavai.cz</a>

Výsledek na webu

<a href="https://content.iospress.com/articles/technology-and-health-care/thc220191" target="_blank" >https://content.iospress.com/articles/technology-and-health-care/thc220191</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3233/THC-220191" target="_blank" >10.3233/THC-220191</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Decoding the correlation between heart activation and walking path by information-based analysis

Popis výsledku v původním jazyce

BACKGROND: One of the important areas of heart research is to analyze heart rate variability during (HRV) walking. OBJECTIVE: In this research, we investigated the correction between heart activation and the variations of walking paths. METHOD: We employed Shannon entropy to analyze how the information content of walking paths affects the information content of HRV. Eight healthy students walked on three designed walking paths with different information contents while we recorded their ECG signals. We computed and analyzed the Shannon entropy of the R-R interval time series (as an indicator of HRV) versus the Shannon entropy of different walking paths and accordingly evaluated their relation. RESULTS: According to the obtained results, walking on the path that contains more information leads to less information in the R-R time series. CONCLUSION: The analysis method employed in this research can be extended to analyze the relation between other physiological signals (such as brain or muscle reactions) and the walking path.

Název v anglickém jazyce

Decoding the correlation between heart activation and walking path by information-based analysis

Popis výsledku anglicky

BACKGROND: One of the important areas of heart research is to analyze heart rate variability during (HRV) walking. OBJECTIVE: In this research, we investigated the correction between heart activation and the variations of walking paths. METHOD: We employed Shannon entropy to analyze how the information content of walking paths affects the information content of HRV. Eight healthy students walked on three designed walking paths with different information contents while we recorded their ECG signals. We computed and analyzed the Shannon entropy of the R-R interval time series (as an indicator of HRV) versus the Shannon entropy of different walking paths and accordingly evaluated their relation. RESULTS: According to the obtained results, walking on the path that contains more information leads to less information in the R-R time series. CONCLUSION: The analysis method employed in this research can be extended to analyze the relation between other physiological signals (such as brain or muscle reactions) and the walking path.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10103 - Statistics and probability

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

Technology and Health Care

ISSN

0928-7329

e-ISSN

1878-7401

Svazek periodika

31

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

11

Strana od-do

205-215

Kód UT WoS článku

000916321000018

EID výsledku v databázi Scopus

2-s2.0-85142227116