Machine Learning Algorithms for Epilepsy Detection Based on Published EEG Databases: A Systematic Review-Reference-Cited by-同舟云学术

Machine Learning Algorithms for Epilepsy Detection Based on Published EEG Databases: A Systematic Review

Published:2023 Issue: Volume:11 Page:564-594
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Miltiadous Andreas¹^ORCID,Tzimourta Katerina D.²,Giannakeas Nikolaos¹,Tsipouras Markos G.²,Glavas Euripidis¹,Kalafatakis Konstantinos³^ORCID,Tzallas Alexandros T.¹^ORCID

Affiliation:

1. Department of Informatics and Telecommunications, University of Ioannina, Kostakioi, Arta, Greece

2. Department of Electrical and Computer Engineering, School of Engineering, University of Western Macedonia, Kozani, Greece

3. Institute of Health Sciences Education, Barts and The London School of Medicine and Dentistry (Malta Campus), Queen Mary University of London, VCT, Victoria, Malta

Funder

“Immersive Virtual, Augmented and Mixed Reality Center of Epirus,” which is implemented under the Action “Reinforcement of the Research and Innovation Infrastructure,”

Operational Program “Competitiveness, Entrepreneurship and Innovation” and Co-Financed by Greece and the European Union

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/09999444.pdf?arnumber=9999444

Reference217 articles.

1. Electroencephalogram signal classification based on shearlet and contourlet transforms

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3. Identification of Epileptic Seizures by Characterizing Instantaneous Energy Behavior of EEG

4. Machine learning-based EEG signals classification model for epileptic seizure detection;qureshi;Multimedia Tools Appl,2021

5. Analysis of EEG signal for seizure detection based on WPT

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