AGE-BASED ANALYSIS of HEART RATE VARIABILITY (HRV) for PATIENTS with CONGESTIVE HEART FAILURE
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F21%3A50017991" target="_blank" >RIV/62690094:18450/21:50017991 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.worldscientific.com/doi/abs/10.1142/S0218348X21501358" target="_blank" >https://www.worldscientific.com/doi/abs/10.1142/S0218348X21501358</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1142/S0218348X21501358" target="_blank" >10.1142/S0218348X21501358</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
AGE-BASED ANALYSIS of HEART RATE VARIABILITY (HRV) for PATIENTS with CONGESTIVE HEART FAILURE
Popis výsledku v původním jazyce
It is known that heart activity changes during aging. In this paper, we evaluated alterations of heart activity from the complexity point of view. We analyzed the variations of heart rate of patients with congestive heart failure that are categorized into four different age groups, namely 30-39, 50-59, 60-69, and 70-79 years old. For this purpose, we employed three complexity measures that include fractal dimension, sample entropy, and approximate entropy. The results showed that the trend of increment of subjects' age is reflected in the trend of increment of the complexity of heart rate variability (HRV) since the values of fractal dimension, approximate entropy, and sample entropy increase as subjects get older. The analysis of the complexity of other physiological signals can be further considered to investigate the variations of activity of other organs due to aging. © 2021
Název v anglickém jazyce
AGE-BASED ANALYSIS of HEART RATE VARIABILITY (HRV) for PATIENTS with CONGESTIVE HEART FAILURE
Popis výsledku anglicky
It is known that heart activity changes during aging. In this paper, we evaluated alterations of heart activity from the complexity point of view. We analyzed the variations of heart rate of patients with congestive heart failure that are categorized into four different age groups, namely 30-39, 50-59, 60-69, and 70-79 years old. For this purpose, we employed three complexity measures that include fractal dimension, sample entropy, and approximate entropy. The results showed that the trend of increment of subjects' age is reflected in the trend of increment of the complexity of heart rate variability (HRV) since the values of fractal dimension, approximate entropy, and sample entropy increase as subjects get older. The analysis of the complexity of other physiological signals can be further considered to investigate the variations of activity of other organs due to aging. © 2021
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10103 - Statistics and probability
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Fractals
ISSN
0218-348X
e-ISSN
—
Svazek periodika
29
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
SG - Singapurská republika
Počet stran výsledku
9
Strana od-do
"Article number 2150135"
Kód UT WoS článku
000644726400015
EID výsledku v databázi Scopus
2-s2.0-85103548035