COMPLEXITY-BASED EVALUATION OF THE CORRELATION BETWEEN HEART AND BRAIN RESPONSES TO MUSIC

Tisara Kumarasinghe, Ondrej Krejcar, Ali Selamat, Norazryana Mat Dawi, Enrique Herrera-Viedma, Robert Frischer and Hamidreza Namazi
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Tisara Kumarasinghe: School of Engineering, Monash University, Subang Jaya, Malaysia
Ondrej Krejcar: ��Faculty of Informatics and Management, Center for Basic and Applied Research, University of Hradec Kralove, Hradec Kralove, Czechia‡Malaysia Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia
Ali Selamat: ��Faculty of Informatics and Management, Center for Basic and Applied Research, University of Hradec Kralove, Hradec Kralove, 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
Norazryana Mat Dawi: �Sunway University Business School, Sunway University, Subang Jaya, Malaysia
Enrique Herrera-Viedma: ��Andalusian Research Institute in Data Science and Computational Intelligence, University of Granada, Granada, Spain**Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia
Robert Frischer: ��†Institute of Technology and Business in České Budějovice, České Budějovice, Czechia
Hamidreza Namazi: School of Engineering, Monash University, Subang Jaya, Malaysia†Faculty of Informatics and Management, Center for Basic and Applied Research, University of Hradec Kralove, Hradec Kralove, Czechia

FRACTALS (fractals), 2021, vol. 29, issue 06, 1-13

Abstract: The evaluation of the correlation between the activations of various organs has great importance. This work investigated the synchronization of the brain and heart responses to different auditory stimuli using complexity-based analysis. We selected three pieces of music based on the difference in the complexity of embedded noise (including white noise, brown noise, and pink noise) in them. We played these pieces of music for 11 subjects (7 M and 4 F) and computed the fractal dimension and sample entropy of EEG signals and R–R time series [as heart rate variability (HRV)]. We found strong correlations (r = 0.9999 in the case of fractal dimension and r = 0.7862 in the case of sample entropy) among the complexities of EEG signals and HRV. This finding demonstrates the synchronization of the brain and heart responses and auditory stimuli from the complexity perspective.

Keywords: Heart; Heart Rate Variability (HRV); Brain; EEG Signals; Complexity; Fractal Dimension; Sample Entropy; Music (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1142/S0218348X21502388

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