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

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30306 - Sport and fitness sciences

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY

  • ISSN

    0218-348X

  • e-ISSN

  • Volume of the periodical

    30

  • Issue of the periodical within the volume

    04

  • Country of publishing house

    SG - SINGAPORE

  • Number of pages

    10

  • Pages from-to

  • UT code for WoS article

    000804026300019

  • EID of the result in the Scopus database

    2-s2.0-85131541869