ANALYSIS OF BRAIN–MUSCLE CORRELATION IN DIFFERENT HAND MOVEMENTS
Robert Frischer,
Ondrej Krejcar,
Jamaluddin Abdullah,
Camillo Porcaro,
Dipak Kumar Ghosh and
Hamidreza Namazi
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Robert Frischer: Skoda Auto University, Na Karmel, Mlada Boleslav, Czechia
Ondrej Krejcar: Faculty of Informatics and Management, University of Hradec Kralove, Rokitanskeho 62, Hradec Kralove 50003, Czech Republic
Jamaluddin Abdullah: School of Mechanical Engineering, Universiti Sains Malaysia, Malaysia
Camillo Porcaro: Department of Neuroscience and Padova Neuroscience Center, University of Padova, Padova, Italy5Institute of Cognitive Sciences and Technologies-National, Research Council Rome, Italy6Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, UK
Dipak Kumar Ghosh: Department of Electrical Electronics and Communication Engineering, Galgotias University, Greater Noida 203201, Uttar Pradesh, India
Hamidreza Namazi: Skoda Auto University, Na Karmel, Mlada Boleslav, Czechia3School of Mechanical Engineering, Universiti Sains Malaysia, Malaysia8Biomedical Signal & Image Processing Lab, Galgotias University, Greater Noida 203201, Uttar Pradesh, India
FRACTALS (fractals), 2025, vol. 33, issue 07, 1-9
Abstract:
Exploring the relationship between muscle and brain activity is of great importance in biomedical research, and in particular for brain–machine interfaces (BMI). This paper explores the relationship between the human brain and muscle activity for five subjects during specific hand movements, namely wrist flexion, wrist extension, and fist clenching. The fractal dimension (FD) and approximate entropy (ApEn) of electroencephalogram (EEG) and electromyography (EMG) signals were calculated for subjects performing hand movements. The results show a correlation between the complexity variations in the EMG signals and those in the EEG signals during different hand movements, suggesting a link between brain and muscle activity. Given the complex nature of physiological signals, this analytical approach proves applicable for investigating correlations between different organ activities under different conditions.
Keywords: Brain; Muscle; Correlation; Hand movement; Complexity; Fractal Dimension (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1142/S0218348X25500641
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