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Optimal Deep Learning-Based Recognition Model for EEG Enabled Brain-Computer Interfaces Using Motor-Imagery Cover

Optimal Deep Learning-Based Recognition Model for EEG Enabled Brain-Computer Interfaces Using Motor-Imagery

Measurement Science Review
Volume 23 (2023): Issue 6 (December 2023)
By: S. Rajalakshmi,  Ibrahim AlMohimeed,  Mohamed Yacin Sikkandar and  S. Sabarunisha Begum  
Open Access
|Nov 2023

Authors

S. Rajalakshmi

mrajislm@hotmail.com

Department of Artificial Intelligence and Data Science, Dr. N. G. P. Institute Technology, Coimbatore, India

Ibrahim AlMohimeed

i.almohimeed.@mu.edu.sa

Department of Medical Equipment Technology, College of Applied Medical Science, Majmaah University, Majmaah, Saudi Arabia

Mohamed Yacin Sikkandar

m.sikkandar@mu.edu.sa

Department of Medical Equipment Technology, College of Applied Medical Science, Majmaah University, Majmaah, Saudi Arabia

S. Sabarunisha Begum

sabarunishabegum@psr.edu.in

Department of Biotechnology, PSR Engineering College, Sivakasi, India
DOI: https://doi.org/10.2478/msr-2023-0031 | Journal eISSN: 1335-8871
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Language: English
Page range: 248 - 253
Submitted on: Aug 2, 2023
|
Accepted on: Oct 25, 2023
|
Published on: Nov 17, 2023
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Deep Learning (DL),
Brain-Computer Interface (BCI),
EEG Motor Imagery (MI),
classification,
Dragonfly algorithm,
feature extraction
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2023 S. Rajalakshmi, Ibrahim AlMohimeed, Mohamed Yacin Sikkandar, S. Sabarunisha Begum, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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