COMPLEXITY-BASED ANALYSIS OF THE CORRELATION OF BRAIN AND HEART ACTIVITY IN YOUNGER AND OLDER SUBJECTS
Document Type
Article
Publication Date
1-1-2024
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
EEG Signals, R-R Signals, Correlation, Complexity, SampEn, Approximate Entropy
Divisions
biomedengine
Funders
Grant Agency of Excellence, University of Hradec Kralove, Faculty of Informatics and Management, Czech Republic,Slovak Research and Development Agency (APVV-19-0290); (KEGA041TUKE-4/2019),Specific university (07SVV2325),Centre for Nonlinear Systems, Chennai Institute of Technology, India (CIT/CNS/2023/RP/005)
Publication Title
Fractals-Complex Geometry, Patterns, and Scaling in Nature and Society
Volume
32
Issue
01
Publisher
World Scientific Publishing
Publisher Location
5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE