Complexity-based decoding of the brain reactions to visual stimuli with different frequencies

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F23%3A50020400" target="_blank" >RIV/62690094:18450/23:50020400 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.worldscientific.com/doi/10.1142/S0218348X2350055X" target="_blank" >https://www.worldscientific.com/doi/10.1142/S0218348X2350055X</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1142/S0218348X2350055X" target="_blank" >10.1142/S0218348X2350055X</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Complexity-based decoding of the brain reactions to visual stimuli with different frequencies

Popis výsledku v původním jazyce

Analysis of the brain activity to external stimulation is an important area of research in biomedical engineering. In this paper, for the first time, we analyzed the brain reaction to visual stimuli with different frequencies using three complexity methods. For this purpose, we utilized fractal theory, sample entropy, and approximate entropy to study the variations of the complexity EEG signals while subjects received visual stimuli at 7, 9, 11, and 13Hz. The results showed that, in general, by moving from 9Hz to 13Hz stimuli, the complexity of EEG signals increases, except in the case of 11Hz stimulus. The statistical analysis also supported the results of the analysis. The conducted analysis in this research can be performed in the case of other types of external stimuli to study how the brain reacts in different conditions. © 2023 World Scientific Publishing Company.

Název v anglickém jazyce

Complexity-based decoding of the brain reactions to visual stimuli with different frequencies

Popis výsledku anglicky

Analysis of the brain activity to external stimulation is an important area of research in biomedical engineering. In this paper, for the first time, we analyzed the brain reaction to visual stimuli with different frequencies using three complexity methods. For this purpose, we utilized fractal theory, sample entropy, and approximate entropy to study the variations of the complexity EEG signals while subjects received visual stimuli at 7, 9, 11, and 13Hz. The results showed that, in general, by moving from 9Hz to 13Hz stimuli, the complexity of EEG signals increases, except in the case of 11Hz stimulus. The statistical analysis also supported the results of the analysis. The conducted analysis in this research can be performed in the case of other types of external stimuli to study how the brain reacts in different conditions. © 2023 World Scientific Publishing Company.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10103 - Statistics and probability

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

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

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

8

Strana od-do

"Article number: 2350055"

Kód UT WoS článku

000974892100001

EID výsledku v databázi Scopus

2-s2.0-85153928468