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COMPLEXITY-BASED ANALYSIS OF THE CORRELATION OF BRAIN AND HEART ACTIVITY IN YOUNGER AND OLDER SUBJECTS

NAJMEH PAKNIYAT

https://orcid.org/0009-0004-2566-701X

30 Shore Breeze Drive, Toronto, ON M8V 0J1, Canada

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GAYATHRI VIVEKANANDHAN

https://orcid.org/0009-0006-8323-6642

Centre for Artificial Intelligence, Chennai Institute of Technology, Chennai 600069, Tamil Nadu, India

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NORAZRYANA MAT DAWI

https://orcid.org/0000-0002-0080-0986

525 West 8th Avenue, Vancouver, Canada

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ONDREJ KREJCAR

https://orcid.org/0000-0002-5992-2574

Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czechia

Institute of Technology and Business in Ceske Budejovice, Ceske Budejovice, Czechia

Department of Biomedical Engineering and Measurement, Faculty of Mechanical Engineering Technical, University of Kosice, Slovakia

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ROBERT FRISCHER

https://orcid.org/0000-0003-0566-6170

Institute of Technology and Business in Ceske Budejovice, Ceske Budejovice, Czechia

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, and

HAMIDREZA NAMAZI

https://orcid.org/0000-0002-6354-1985

Institute of Technology and Business in Ceske Budejovice, Ceske Budejovice, Czechia

Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Malaysia

E-mail Address: hrn_mechanic@yahoo.com

Corresponding author.

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https://doi.org/10.1142/S0218348X24500142Cited by:10 (Source: Crossref)

Abstract

Studying the activity of organs during aging is a very important research area. On the other hand, simultaneous analysis of the activities of various organs is important to understand how their activities are correlated. For the first time, this research analyzes the brain-heart correlation in younger and older subjects. We analyzed the sample entropy (SampEn) and approximate entropy (ApEn) of EEG and R-R signals (as heart rate variability (HRV)) of younger and older participants while they sat comfortably in an armchair with their eyes open. The results indicated that older subjects’ EEG and R-R signals have greater values of sample and approximate entropies than younger subjects. Therefore, as subjects age, their EEG and R-R signals become more complex. This analysis can be extended to investigate the correlation between other physiological signals among different age groups.

Keywords:

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Vol. 32, No. 01

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History

Received 23 July 2023

Accepted 22 November 2023

Published: December 19, 2023

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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 ANALYSIS OF THE CORRELATION OF BRAIN AND HEART ACTIVITY IN YOUNGER AND OLDER SUBJECTS

Abstract

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