Complexity-Based Analysis of the Variations of Brain and Muscle Reactions in Walking and Standing Balance While Receiving Different Perturbations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14510%2F21%3A00122673" target="_blank" >RIV/00216224:14510/21:00122673 - isvavai.cz</a>
Result on the web
<a href="https://www.frontiersin.org/articles/10.3389/fnhum.2021.749082/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fnhum.2021.749082/full</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3389/fnhum.2021.749082" target="_blank" >10.3389/fnhum.2021.749082</a>
Alternative languages
Result language
angličtina
Original language name
Complexity-Based Analysis of the Variations of Brain and Muscle Reactions in Walking and Standing Balance While Receiving Different Perturbations
Original language description
In this article, we evaluated the variations of the brain and muscle activations while subjects are exposed to different perturbations to walking and standing balance. Since EEG and EMG signals have complex structures, we utilized the complexity-based analysis. Specifically, we analyzed the fractal dimension and sample entropy of Electroencephalogram (EEG) and Electromyogram (EMG) signals while subjects walked and stood, and received different perturbations in the form of pulling and rotation (via virtual reality). The results showed that the complexity of EEG signals was higher in walking than standing as the result of different perturbations. However, the complexity of EMG signals was higher in standing than walking as the result of different perturbations. Therefore, the alterations in the complexity of EEG and EMG signals are inversely correlated. This analysis could be extended to investigate simultaneous variations of rhythmic patterns of other physiological signals while subjects perform different activities.
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
30306 - Sport and fitness sciences
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Frontiers in Human Neuroscience
ISSN
1662-5161
e-ISSN
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Volume of the periodical
15
Issue of the periodical within the volume
749082
Country of publishing house
CH - SWITZERLAND
Number of pages
10
Pages from-to
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UT code for WoS article
000710920900001
EID of the result in the Scopus database
2-s2.0-85117576612