DECODING OF HEART-BRAIN RELATION BY COMPLEXITY-BASED ANALYSIS OF HEART RATE VARIABILITY (HRV) AND ELECTROENCEPHALOGRAM (EEG) SIGNALS
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F22%3A50019488" target="_blank" >RIV/62690094:18450/22:50019488 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/68407700:21220/22:00362590
Výsledek na webu
<a href="https://www.worldscientific.com/doi/10.1142/S0218348X22501900" target="_blank" >https://www.worldscientific.com/doi/10.1142/S0218348X22501900</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1142/S0218348X22501900" target="_blank" >10.1142/S0218348X22501900</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
DECODING OF HEART-BRAIN RELATION BY COMPLEXITY-BASED ANALYSIS OF HEART RATE VARIABILITY (HRV) AND ELECTROENCEPHALOGRAM (EEG) SIGNALS
Popis výsledku v původním jazyce
Since the brain controls heart activations, there should be a correlation between their activities in different conditions. This study investigates the correlation between heart and brain responses to olfactory stimulation. We employed fractal theory and sample entropy to evaluate the complexity of EEG signals and Heart Rate Variability (HRV) in the form of R-R time series. We applied four different pleasant odors with different molecular complexities to 13 participants and analyzed their EEG and ECG signals. The results demonstrated that the complexities of HRV and EEG signals are strongly correlated; a bigger alteration in the complexity of olfactory stimuli is mapped to a bigger alteration in the complexity of HRV and EEG signals. This investigation can be similarly done to examine the correlation between various organs and the brain by quantifying the complexity of their signals versus brain signals.
Název v anglickém jazyce
DECODING OF HEART-BRAIN RELATION BY COMPLEXITY-BASED ANALYSIS OF HEART RATE VARIABILITY (HRV) AND ELECTROENCEPHALOGRAM (EEG) SIGNALS
Popis výsledku anglicky
Since the brain controls heart activations, there should be a correlation between their activities in different conditions. This study investigates the correlation between heart and brain responses to olfactory stimulation. We employed fractal theory and sample entropy to evaluate the complexity of EEG signals and Heart Rate Variability (HRV) in the form of R-R time series. We applied four different pleasant odors with different molecular complexities to 13 participants and analyzed their EEG and ECG signals. The results demonstrated that the complexities of HRV and EEG signals are strongly correlated; a bigger alteration in the complexity of olfactory stimuli is mapped to a bigger alteration in the complexity of HRV and EEG signals. This investigation can be similarly done to examine the correlation between various organs and the brain by quantifying the complexity of their signals versus brain signals.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10101 - Pure mathematics
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2022
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
30
Číslo periodika v rámci svazku
7
Stát vydavatele periodika
SG - Singapurská republika
Počet stran výsledku
11
Strana od-do
11
Kód UT WoS článku
000862904400001
EID výsledku v databázi Scopus
2-s2.0-85142268816