Author
Listed:
- SRIRAM PARTHASARATHY
(Centre for Computational Modelling, Chennai Institute of Technology, Chennai 600069, Tamil Nadu, India)
- KARTHIKEYAN RAJAGOPAL
(��Centre for Nonlinear Systems, Chennai Institute of Technology, Chennai 600069, Tamil Nadu, India)
- ONDREJ KREJCAR
(��Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, 50003 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)
- ROBERT FRISCHER
(�Institute of Technology and Business in Ceske Budejovice, Ceske Budejovice, Czechia)
- HAMIDREZA NAMAZI
(��Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, 50003 Hradec Kralove, Czechia∥School of Engineering, Monash University, Selangor, Malaysia)
Abstract
Analysis of the brain activity to external stimulation is an important area of research in biomedical engineering. In this paper, for the first time, we analyzed the brain reaction to visual stimuli with different frequencies using three complexity methods. For this purpose, we utilized fractal theory, sample entropy, and approximate entropy to study the variations of the complexity EEG signals while subjects received visual stimuli at 7, 9, 11, and 13 Hz. The results showed that, in general, by moving from 9 Hz to 13 Hz stimuli, the complexity of EEG signals increases, except in the case of 11 Hz stimulus. The statistical analysis also supported the results of the analysis. The conducted analysis in this research can be performed in the case of other types of external stimuli to study how the brain reacts in different conditions.
Suggested Citation
Sriram Parthasarathy & Karthikeyan Rajagopal & Ondrej Krejcar & Robert Frischer & Hamidreza Namazi, 2023.
"Complexity-Based Decoding Of The Brain Reactions To Visual Stimuli With Different Frequencies,"
FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 31(03), pages 1-8.
Handle:
RePEc:wsi:fracta:v:31:y:2023:i:03:n:s0218348x2350055x
DOI: 10.1142/S0218348X2350055X
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:fracta:v:31:y:2023:i:03:n:s0218348x2350055x. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: https://www.worldscientific.com/worldscinet/fractals .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.