Complexity-Based Analysis Of The Variations Of The Brain'S Reactions In Different Types Of Locomotions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F23%3A50020372" target="_blank" >RIV/62690094:18450/23:50020372 - isvavai.cz</a>
Result on the web
<a href="https://www.worldscientific.com/doi/10.1142/S0218348X23500317" target="_blank" >https://www.worldscientific.com/doi/10.1142/S0218348X23500317</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1142/S0218348X23500317" target="_blank" >10.1142/S0218348X23500317</a>
Alternative languages
Result language
angličtina
Original language name
Complexity-Based Analysis Of The Variations Of The Brain'S Reactions In Different Types Of Locomotions
Original language description
In this research, we apply complexity-based techniques to study the activations of the brain while the subjects perform different types of locomotion, including walking, jogging, and running. Therefore, we can study the effect of locomotion speed (or toughness level) on brain's reactions. For this purpose, we analyzed the fractal dimension and approximate entropy of electroencephalogram (EEG) signals recorded from subjects while they walked, jogged, and ran for 20 s in the case of each activity. The analysis of 21 recorded samples showed that the complexity of EEG signals increases by increasing the locomotion speed. This result indicates a higher level of processing in the brain while the subjects perform a harder task. This analysis can be extended to the case of other physiological signals to study the effect of the level of exercise on different organs' activations. © 2023 The Author(s).
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
10103 - Statistics and probability
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
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
31
Issue of the periodical within the volume
3
Country of publishing house
SG - SINGAPORE
Number of pages
7
Pages from-to
"Article number: 2350031"
UT code for WoS article
000960612900001
EID of the result in the Scopus database
2-s2.0-85151908281