Supervised Machine Learning and Deep Learning Techniques for Epileptic Seizure Recognition Using EEG Signals—A Systematic Literature Review

Supervised Machine Learning and Deep Learning Techniques for Epileptic Seizure Recognition Using EEG Signals—A Systematic Literature Review

Electroencephalography (EEG) is a complicated, non-stationary signal that requires extensive preprocessing and feature extraction approaches to be accurately analyzed. In recent times, Deep learning (DL) has shown great promise in exploiting the characteristics of EEG signals as it can learn relevan...

Full description

Bibliographic Details
Main Authors: Mohamed Sami Nafea, Zool Hilmi Ismail
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Bioengineering
Subjects:
EEG
machine learning
deep learning
epilepsy
seizure detection
systematic review
Online Access:https://www.mdpi.com/2306-5354/9/12/781

Internet

https://www.mdpi.com/2306-5354/9/12/781

Similar Items