Intelligent Epileptic Seizure Detection and Classification Model Using Optimal Deep Canonical Sparse Autoencoder

Intelligent Epileptic Seizure Detection and Classification Model Using Optimal Deep Canonical Sparse Autoencoder

Epileptic seizures are a chronic and persistent neurological illness that mainly affects the human brain. Electroencephalogram (EEG) is considered an effective tool among neurologists to detect various brain disorders, including epilepsy, owing to its advantages, such as its low cost, simplicity, an...

Full description

Bibliographic Details
Main Authors: Anwer Mustafa Hilal, Amani Abdulrahman Albraikan, Sami Dhahbi, Mohamed K. Nour, Abdullah Mohamed, Abdelwahed Motwakel, Abu Sarwar Zamani, Mohammed Rizwanullah
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Biology
Subjects:
deep learning
feature selection
EEG signals
epileptic seizure recognition
classification
krill herd algorithm
Online Access:https://www.mdpi.com/2079-7737/11/8/1220

Internet

https://www.mdpi.com/2079-7737/11/8/1220

Similar Items