Complexity-based analysis of muscle activation during walking at different speeds
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F23%3A50020399" target="_blank" >RIV/62690094:18450/23:50020399 - isvavai.cz</a>
Result on the web
<a href="https://www.worldscientific.com/doi/10.1142/S0218348X23500329" target="_blank" >https://www.worldscientific.com/doi/10.1142/S0218348X23500329</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1142/S0218348X23500329" target="_blank" >10.1142/S0218348X23500329</a>
Alternative languages
Result language
angličtina
Original language name
Complexity-based analysis of muscle activation during walking at different speeds
Original language description
In this research, we investigated the effect of changes in walking speed on variations of the complexity of electromyogram (EMG) signals recorded from the right and left legs of subjects. We specifically employed fractal theory and approximate entropy to analyze the changes in the complexity of EMG signals recorded from 13 subjects walked at 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, and 4.0<FOR VERIFICATION>km/h on a flat surface. The results showed that by increasing of walking speed, the complexity of EMG signals decreases. The statistical analysis also indicated the significant effect of variations in walking speed on the variations of the complexity of EMG signals. This method analysis can be applied to other physiological signals of humans (e.g. electroencephalogram (EEG) signals) to investigate the effect of walking speed on other organs' activations (e.g. brain). © 2023 World Scientific Publishing Company.
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
—
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
9
Pages from-to
"Article number: 2350032"
UT code for WoS article
000973653500001
EID of the result in the Scopus database
2-s2.0-85153964647