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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10700 - Other natural sciences

Projekt

—

Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Fractals - Complex Geometry Patterns and Scaling in Nature and Society

ISSN

0218-348X

e-ISSN

—

Svazek periodika

33

Číslo periodika v rámci svazku

01

Stát vydavatele periodika

SG - Singapurská republika

Počet stran výsledku

9

Strana od-do

1-9

Kód UT WoS článku

001412800200001

EID výsledku v databázi Scopus

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