DECODING THE CORRELATION BETWEEN BRAIN AND HEART ACTIVATIONS IN THE COMBINATION OF MENTAL WORKLOAD AND PHYSICAL ACTIVITY

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14510%2F22%3A00126498" target="_blank" >RIV/00216224:14510/22:00126498 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.worldscientific.com/doi/10.1142/S0218348X22501195" target="_blank" >https://www.worldscientific.com/doi/10.1142/S0218348X22501195</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1142/S0218348X22501195" target="_blank" >10.1142/S0218348X22501195</a>

Jazyk výsledku

angličtina

Název v původním jazyce

DECODING THE CORRELATION BETWEEN BRAIN AND HEART ACTIVATIONS IN THE COMBINATION OF MENTAL WORKLOAD AND PHYSICAL ACTIVITY

Popis výsledku v původním jazyce

Decoding of the coupling among the brain and heart activations is an important research area in network physiology. We studied the coupling of brain and heart activations for 48 subjects who performed the NASA Revised Multi-Attribute Task Battery II under three different activity level conditions. During the experiment, the physical activity of subjects was manipulated by changing the speed of a stationary bike (including no movement, 50rpm, and 70rpm) or a treadmill (including no movement, 3km/h, and 5km/h), while their physiological signals were recorded. We analyzed the complex structure of electroencephalogram (EEG) and R-R signals using fractal theory and sample entropy. The results demonstrated that the alterations of the complex structures of EEG and R-R signals are strongly correlated, which indicates the coupling between brain and heart activations. This method of analysis can be applied to evaluate the coupling between different organs.

Název v anglickém jazyce

DECODING THE CORRELATION BETWEEN BRAIN AND HEART ACTIVATIONS IN THE COMBINATION OF MENTAL WORKLOAD AND PHYSICAL ACTIVITY

Popis výsledku anglicky

Decoding of the coupling among the brain and heart activations is an important research area in network physiology. We studied the coupling of brain and heart activations for 48 subjects who performed the NASA Revised Multi-Attribute Task Battery II under three different activity level conditions. During the experiment, the physical activity of subjects was manipulated by changing the speed of a stationary bike (including no movement, 50rpm, and 70rpm) or a treadmill (including no movement, 3km/h, and 5km/h), while their physiological signals were recorded. We analyzed the complex structure of electroencephalogram (EEG) and R-R signals using fractal theory and sample entropy. The results demonstrated that the alterations of the complex structures of EEG and R-R signals are strongly correlated, which indicates the coupling between brain and heart activations. This method of analysis can be applied to evaluate the coupling between different organs.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30306 - Sport and fitness sciences

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY

ISSN

0218-348X

e-ISSN

—

Svazek periodika

30

Číslo periodika v rámci svazku

04

Stát vydavatele periodika

SG - Singapurská republika

Počet stran výsledku

10

Strana od-do

—

Kód UT WoS článku

000804026300019

EID výsledku v databázi Scopus

2-s2.0-85131541869