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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
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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
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UT code for WoS article
000766635200037
EID of the result in the Scopus database
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