A Novel Framework for Epileptic Seizure Detection Using Electroencephalogram Signals Based on the Bat Feature Selection Algorithm-Reference-Cited by-同舟云学术

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A Novel Framework for Epileptic Seizure Detection Using Electroencephalogram Signals Based on the Bat Feature Selection Algorithm

Published:2024-03 Issue: Volume:541 Page:35-49
ISSN:0306-4522
Container-title:Neuroscience
language:en
Short-container-title:Neuroscience

Author:

Pouryosef Mahrad^ORCID,Abedini-Nassab Roozbeh^ORCID,Akrami Seyed Mohammad Reza

Publisher

Elsevier BV

Reference57 articles.

1. Classification of EEG signal by using optimized quantum neural network;Abdul-Zahra;Indonesian J Electr Eng Informat (IJEEI),2021

2. Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals;Acharya;Comput Biol Med,2018

3. Automated EEG analysis of epilepsy: a review;Acharya;Knowl-Based Syst,2013

4. Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state;Andrzejak;Phys Rev E,2001

5. EEG-based measurement system for monitoring student engagement in learning 4.0;Apicella;Sci Rep,2022

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