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Analysis Of The Changes In The Brain Activity Between Rest And Multitasking Workload By Complexity-Based Analysis Of Eeg Signals

Author

Listed:
  • SRIRAM PARTHASARATHY

    (Centre for Computational Modelling, Chennai Institute of Technology, Chennai 600069, Tamil Nadu, India)

  • PETRA MARESOVA

    (��Faculty of Informatics and Management, University of Hradec Kralove, Hradec, Kralove, Czechia‡Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia Kuala Lumpur, Jalan Sultan Yahya Petra, Kuala Lumpur 54100, Malaysia)

  • KARTHIKEYAN RAJAGOPAL

    (�Centre for Nonlinear Systems, Chennai Institute of Technology, Chennai 600069, Tamil Nadu, India)

  • HAMIDREZA NAMAZI

    (��Faculty of Informatics and Management, University of Hradec Kralove, Hradec, Kralove, Czechia¶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.

Suggested Citation

  • Sriram Parthasarathy & Petra Maresova & Karthikeyan Rajagopal & Hamidreza Namazi, 2023. "Analysis Of The Changes In The Brain Activity Between Rest And Multitasking Workload By Complexity-Based Analysis Of Eeg Signals," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 31(09), pages 1-7.
    • Handle: RePEc:wsi:fracta:v:31:y:2023:i:09:n:s0218348x23501360
    DOI: 10.1142/S0218348X23501360
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