Complexity-Based Analysis Of The Variations Of The Brain'S Reactions In Different Types Of Locomotions
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F23%3A50020372" target="_blank" >RIV/62690094:18450/23:50020372 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.worldscientific.com/doi/10.1142/S0218348X23500317" target="_blank" >https://www.worldscientific.com/doi/10.1142/S0218348X23500317</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1142/S0218348X23500317" target="_blank" >10.1142/S0218348X23500317</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Complexity-Based Analysis Of The Variations Of The Brain'S Reactions In Different Types Of Locomotions
Popis výsledku v původním jazyce
In this research, we apply complexity-based techniques to study the activations of the brain while the subjects perform different types of locomotion, including walking, jogging, and running. Therefore, we can study the effect of locomotion speed (or toughness level) on brain's reactions. For this purpose, we analyzed the fractal dimension and approximate entropy of electroencephalogram (EEG) signals recorded from subjects while they walked, jogged, and ran for 20 s in the case of each activity. The analysis of 21 recorded samples showed that the complexity of EEG signals increases by increasing the locomotion speed. This result indicates a higher level of processing in the brain while the subjects perform a harder task. This analysis can be extended to the case of other physiological signals to study the effect of the level of exercise on different organs' activations. © 2023 The Author(s).
Název v anglickém jazyce
Complexity-Based Analysis Of The Variations Of The Brain'S Reactions In Different Types Of Locomotions
Popis výsledku anglicky
In this research, we apply complexity-based techniques to study the activations of the brain while the subjects perform different types of locomotion, including walking, jogging, and running. Therefore, we can study the effect of locomotion speed (or toughness level) on brain's reactions. For this purpose, we analyzed the fractal dimension and approximate entropy of electroencephalogram (EEG) signals recorded from subjects while they walked, jogged, and ran for 20 s in the case of each activity. The analysis of 21 recorded samples showed that the complexity of EEG signals increases by increasing the locomotion speed. This result indicates a higher level of processing in the brain while the subjects perform a harder task. This analysis can be extended to the case of other physiological signals to study the effect of the level of exercise on different organs' activations. © 2023 The Author(s).
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
2023
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
1793-6543
Svazek periodika
31
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
SG - Singapurská republika
Počet stran výsledku
7
Strana od-do
"Article number: 2350031"
Kód UT WoS článku
000960612900001
EID výsledku v databázi Scopus
2-s2.0-85151908281