Analysis of the correlation between brain and muscle reaction in rest and limb movements

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F29142890%3A_____%2F25%3A00052293" target="_blank" >RIV/29142890:_____/25:00052293 - isvavai.cz</a>
Result on the web
<a href="https://www.webofscience.com/wos/woscc/full-record/WOS:001412800200001" target="_blank" >https://www.webofscience.com/wos/woscc/full-record/WOS:001412800200001</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1142/S0218348X25500082" target="_blank" >10.1142/S0218348X25500082</a>

Result language
angličtina
Original language name
Analysis of the correlation between brain and muscle reaction in rest and limb movements
Original language description
The study of correlations between different organs under various conditions is a prominent field in biomedical science and engineering. This paper explores the relationship between brain and muscle activities during rest and various limb movements including plantar flexion and knee flexion. We employed complexity measures, calculating the fractal dimension (FD) and sample entropy (SampEn) of electroencephalogram (EEG) and electromyogram (EMG) signals, which serve as indicators of brain and muscle activities, respectively. Our analysis focused on how the complexity variations in these signals correlate across different tasks. The results revealed opposite trends in the complexity of EEG and EMG signals. Specifically, the complexity of EEG signals increased from initial rest to final rest, plantar flexion, and knee flexion, suggesting heightened neural activity likely due to motor planning and execution. Conversely, the complexity of EMG signals decreased, indicating more synchronized and consistent muscle contractions during these movements, reflecting coordinated motor control and reduced variability in muscular activity. This analytical approach can be applied to study the correlations between different organs' reactions and brain activity across various tasks.
Czech name
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Czech description
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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
10700 - Other natural sciences

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical
Fractals - Complex Geometry Patterns and Scaling in Nature and Society
ISSN
0218-348X
e-ISSN
—
Volume of the periodical
33
Issue of the periodical within the volume
01
Country of publishing house
SG - SINGAPORE
Number of pages
9
Pages from-to
1-9
UT code for WoS article
001412800200001
EID of the result in the Scopus database
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