EVALUATION OF THE COUPLING BETWEEN ELECTROENCEPHALOGRAM (EEG) AND GALVANIC SKIN RESPONSE (GSR) SIGNALS VERSUS THE COMPLEX STRUCTURE OF MUSIC

Hamidreza Namazi, Shafiul Omam, Kamil Kuca and Ondrej Krejcar
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Hamidreza Namazi: Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czechia†School of Engineering, Monash University, Selangor, Malaysia
Shafiul Omam: ��School of Engineering, Monash University, Selangor, Malaysia
Kamil Kuca: Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czechia‡Malaysia Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia
Ondrej Krejcar: Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czechia‡Malaysia Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

FRACTALS (fractals), 2021, vol. 29, issue 04, 1-10

Abstract: Since skin activity, like other organs, is controlled by the brain, we decoded the correlation among the brain and skin responses in auditory stimulation by complexity-based analysis of EEG and GSR signals. Three pieces of music were selected according to the difference in the fractal exponent and sample entropy of embedded noises in them. We calculated the fractal dimension and sample entropy of EEG and GSR signals for 11 subjects in rest and response to these music pieces. The correlation coefficients of 0.9525 and 0.9822 in the case of fractal dimension and sample entropy demonstrated a strong correlation between the complexities of the GSR and EEG signals. Therefore, we can state that the skin and brain responses are coupled. This method can be applied to evaluate the relationship between the human brain and other organs.

Keywords: Brain; Skin; EEG Signals; GSR Signals; Correlation; Fractal Dimension; Complexity; Sample Entropy (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1142/S0218348X21501759

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