ANALYSIS OF THE CORRELATION BETWEEN BRAIN AND MUSCLE REACTION IN REST AND LIMB MOVEMENTS

Robert Frischer, Ondrej Krejcar, Dipak Kumar Ghosh and Hamidreza Namazi
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Robert Frischer: Research Center, Skoda Auto University, Na Karmeli 1457, 293 01 Mlada Boleslav, Czech Republic
Ondrej Krejcar: ��Faculty of Electrical Engineering and Computer Science, (FEEC), VSB–Technical University of Ostrava, 17. listopadu 2172/15, Ostrava, Czechia‡Malaysia Japan International Institute of Technology, (MJIIT), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia§Media and Games Center of Excellence, (MagicX), Universiti Teknologi Malaysia, Johor Bahru, Malaysia
Dipak Kumar Ghosh: �Department of Electrical Electronics and Communication Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India
Hamidreza Namazi: Research Center, Skoda Auto University, Na Karmeli 1457, 293 01 Mlada Boleslav, Czech Republic∥Biomedical Signal and Image Processing Lab, Galgotias University, Greater Noida, Uttar Pradesh, India

FRACTALS (fractals), 2025, vol. 33, issue 01, 1-9

Abstract: 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.

Keywords: Brain; Muscle; Correlation; Complexity; Fractal Dimension (FD); Sample Entropy (SampEn) (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1142/S0218348X25500082

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