Complexity-based analysis of muscle activation during walking at different speeds
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Complexity-based analysis of muscle activation during walking at different speeds
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Complexity-based analysis of muscle activation during walking at different speeds
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10103 - Statistics and probability
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Fractals
ISSN
0218-348X
e-ISSN
1793-6543
Svazek periodika
31
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
SG - Singapurská republika
Počet stran výsledku
9
Strana od-do
"Article number: 2350032"
Kód UT WoS článku
000973653500001
EID výsledku v databázi Scopus
2-s2.0-85153964647