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Complexity and information-based analysis of th electroencephalogram (EEG) signals in standing, walking, and walking with a brain-computer interface

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14510%2F22%3A00125421" target="_blank" >RIV/00216224:14510/22:00125421 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.worldscientific.com/doi/epdf/10.1142/S0218348X22500414" target="_blank" >https://www.worldscientific.com/doi/epdf/10.1142/S0218348X22500414</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1142/S0218348X22500414" target="_blank" >10.1142/S0218348X22500414</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Complexity and information-based analysis of th electroencephalogram (EEG) signals in standing, walking, and walking with a brain-computer interface

  • Original language description

    In this paper, we analyzed the variations in brain activation between different activities. SinceElectroencephalogram (EEG) signals as an indicator of brain activation contain information andhave complex structures, we employed complexityand information-based analysis. Specifically,we used fractal theory and Shannon entropy for our analysis. Eight subjects performed threedifferent activities (standing, walking, and walking with a brain–computer interface) whiletheir EEG signals were recorded. Based on the results, the complexity and information contentof EEG signals have the greatest and smallest values in walking and standing, respectively.Complexity and information-based analysis can be applied to analyze the activations of otherorgans in different conditions.

  • 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

    30103 - Neurosciences (including psychophysiology)

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

    01

  • Country of publishing house

    SG - SINGAPORE

  • Number of pages

    7

  • Pages from-to

  • UT code for WoS article

    000766635200037

  • EID of the result in the Scopus database