Have a personal or library account? Click to login
A High-Performance Method Based on Features Fusion of EEG Brain Signal and MRI-Imaging Data for Epilepsy Classification Cover

A High-Performance Method Based on Features Fusion of EEG Brain Signal and MRI-Imaging Data for Epilepsy Classification

Measurement Science Review
Volume 24 (2024): Issue 1 (February 2024)
By: Fatma Demirezen Yağmur and  Ahmet Sertbaş  
Open Access
|Mar 2024

Authors

Fatma Demirezen Yağmur

fatmademirezen@ibu.edu.tr

IT Department, Bolu Abant-Izzet Baysal University, Bolu, Turkey

Ahmet Sertbaş

asertbas@iuc.edu.tr

Department of Computer Engineering, Faculty of Engineering, University of Istanbul-Cerrahpasa, Istanbul, Turkey
DOI: https://doi.org/10.2478/msr-2024-0001 | Journal eISSN: 1335-8871
Journal RSS Feed
Language: English
Page range: 1 - 8
Submitted on: May 10, 2023
Accepted on: Jan 9, 2024
Published on: Mar 7, 2024
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Epilepsy,
MRI,
EEG,
discrete cosine transform,
medical image analysis,
EEG-MRI classification
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2024 Fatma Demirezen Yağmur, Ahmet Sertbaş, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 24 (2024): Issue 1 (February 2024)Next article