Complexity-based evaluation of the correlation between heart and brain responses to music

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F21%3A50018288" target="_blank" >RIV/62690094:18450/21:50018288 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/75081431:_____/21:00002155

Výsledek na webu

<a href="https://www.worldscientific.com/doi/abs/10.1142/S0218348X21502388" target="_blank" >https://www.worldscientific.com/doi/abs/10.1142/S0218348X21502388</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1142/S0218348X21502388" target="_blank" >10.1142/S0218348X21502388</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Complexity-based evaluation of the correlation between heart and brain responses to music

Popis výsledku v původním jazyce

The evaluation of the correlation between the activations of various organs has great importance. This work investigated the synchronization of the brain and heart responses to different auditory stimuli using complexity-based analysis. We selected three pieces of music based on the difference in the complexity of embedded noise (including white noise, brown noise, and pink noise) in them. We played these pieces of music for 11 subjects (7 M and 4 F) and computed the fractal dimension and sample entropy of EEG signals and R-R time series [as heart rate variability (HRV)]. We found strong correlations (r = 0.9999 in the case of fractal dimension and r = 0.7862 in the case of sample entropy) among the complexities of EEG signals and HRV. This finding demonstrates the synchronization of the brain and heart responses and auditory stimuli from the complexity perspective. © 2021

Název v anglickém jazyce

Complexity-based evaluation of the correlation between heart and brain responses to music

Popis výsledku anglicky

The evaluation of the correlation between the activations of various organs has great importance. This work investigated the synchronization of the brain and heart responses to different auditory stimuli using complexity-based analysis. We selected three pieces of music based on the difference in the complexity of embedded noise (including white noise, brown noise, and pink noise) in them. We played these pieces of music for 11 subjects (7 M and 4 F) and computed the fractal dimension and sample entropy of EEG signals and R-R time series [as heart rate variability (HRV)]. We found strong correlations (r = 0.9999 in the case of fractal dimension and r = 0.7862 in the case of sample entropy) among the complexities of EEG signals and HRV. This finding demonstrates the synchronization of the brain and heart responses and auditory stimuli from the complexity perspective. © 2021

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10102 - Applied mathematics

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Fractals

ISSN

0218-348X

e-ISSN

—

Svazek periodika

29

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

SG - Singapurská republika

Počet stran výsledku

13

Strana od-do

"Article number 2150238"

Kód UT WoS článku

000698113300039

EID výsledku v databázi Scopus

2-s2.0-85113849456