ANALYSIS OF THE CHANGES IN THE BRAIN ACTIVITY BETWEEN REST AND MULTITASKING WORKLOAD BY COMPLEXITY-BASED ANALYSIS OF EEG SIGNALS-Reference-Cited by-同舟云学术

ANALYSIS OF THE CHANGES IN THE BRAIN ACTIVITY BETWEEN REST AND MULTITASKING WORKLOAD BY COMPLEXITY-BASED ANALYSIS OF EEG SIGNALS

Published:2023-01 Issue:09 Volume:31 Page:
ISSN:0218-348X
Container-title:Fractals
language:en
Short-container-title:Fractals

Author:

PARTHASARATHY SRIRAM¹^ORCID,MARESOVA PETRA²³^ORCID,RAJAGOPAL KARTHIKEYAN⁴^ORCID,NAMAZI HAMIDREZA²⁵^ORCID

Affiliation:

1. Centre for Computational Modelling, Chennai Institute of Technology, Chennai 600069, Tamil Nadu, India

2. Faculty of Informatics and Management, University of Hradec Kralove, Hradec, Kralove, Czechia

3. Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia Kuala Lumpur, Jalan Sultan Yahya Petra, Kuala Lumpur 54100, Malaysia

4. Centre for Nonlinear Systems, Chennai Institute of Technology, Chennai 600069, Tamil Nadu, India

5. School of Engineering, Monash University, Selangor, Malaysia

Abstract

Analysis of the changes in brain activity between rest and various conditions is an important area of research. We investigated the changes in brain activity among rest and multitask workload (SIMKAP multitasking test) by quantifying the complexity of EEG signals. The results showed that EEG signals have smaller fractal dimensions, sample entropy, and approximate entropy during the SIMKAP multitasking test than the rest. Therefore, the complexity of EEG signals was lower during the SIMKAP multitasking test than the rest. In further research, we can study the changes in brain activity among other conditions, which has great benefits in decoding brain activity in various conditions.

Funder

Grant Agency of Excellence

Chennai Institute of Technology, India vide funding

Publisher

World Scientific Pub Co Pte Ltd

Subject

Applied Mathematics,Geometry and Topology,Modeling and Simulation

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218348X23501360

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