ArticleOpen Access

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

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

Malaysia Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

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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

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NORAZRYANA MAT DAWI

Sunway University Business School, Sunway University, Subang Jaya, Malaysia

E-mail Address: norazryanad@sunway.edu.my

Corresponding authors.

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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

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ROBERT FRISCHER

Institute of Technology and Business in České Budějovice, České Budějovice, Czechia

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, and

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

E-mail Address: hamidreza.namazi@monash.edu

Corresponding authors.

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https://doi.org/10.1142/S0218348X21502388Cited by:15 (Source: Crossref)

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:

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Vol. 29, No. 06

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History

Received 28 May 2021

Accepted 20 July 2021

Published: August 23, 2021

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This is an Open Access article published by World Scientific Publishing Company. It is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 (CC BY-NC-ND) License which permits use, distribution and reproduction, provided that the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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

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