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Decoding of the coupling between brain and skin activities in olfactory stimulation by analysis of EEG and GSR signals

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F24%3A50018146" target="_blank" >RIV/62690094:18450/24:50018146 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.tandfonline.com/doi/full/10.1080/17455030.2021.1942305" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/17455030.2021.1942305</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/17455030.2021.1942305" target="_blank" >10.1080/17455030.2021.1942305</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Decoding of the coupling between brain and skin activities in olfactory stimulation by analysis of EEG and GSR signals

  • Original language description

    Our skin reacts to various stimuli that we receive. Since all parts of the human body are controlled by the brain, a relationship should exist among brain and skin activities. This study evaluates the relation among skin and brain activities. As such, we benefited from the information-based analysis. We collected GSR and EEG signals of eight participants in various olfactory stimulations. Accordingly, we ran Shannon entropy-based analysis to evaluate the correlation between the information contents of these two signals. The results showed that the alterations in the complexity of stimulus and the information of GSR and EEG signals are strongly correlated. We also verified the results of the analysis of Shannon entropy of signals by calculating their Hurst exponent to quantify their memory. According to the results, the alterations of the memory of EEG and GSR signals are similar to the alterations of the information of these signals.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Waves in Random and Complex Media

  • ISSN

    1745-5030

  • e-ISSN

    1745-5049

  • Volume of the periodical

    34

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    15

  • Pages from-to

    1521-1535

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85108318996