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DECODING OF HEART-BRAIN RELATION BY COMPLEXITY-BASED ANALYSIS OF HEART RATE VARIABILITY (HRV) AND ELECTROENCEPHALOGRAM (EEG) SIGNALS

The result's identifiers

  • Result code in 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>

  • Alternative codes found

    RIV/68407700:21220/22:00362590

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    DECODING OF HEART-BRAIN RELATION BY COMPLEXITY-BASED ANALYSIS OF HEART RATE VARIABILITY (HRV) AND ELECTROENCEPHALOGRAM (EEG) SIGNALS

  • Original language description

    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.

  • 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

    10101 - Pure mathematics

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

  • ISSN

    0218-348X

  • e-ISSN

    1793-6543

  • Volume of the periodical

    30

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    SG - SINGAPORE

  • Number of pages

    11

  • Pages from-to

    11

  • UT code for WoS article

    000862904400001

  • EID of the result in the Scopus database

    2-s2.0-85142268816