Feature Selection with Deep Belief Network for Epileptic Seizure Detection on EEG Signals-Reference-Cited by-同舟云学术

Feature Selection with Deep Belief Network for Epileptic Seizure Detection on EEG Signals

Published:2023 Issue:2 Volume:75 Page:4101-4118
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Cherukuvada Srikanth,Kayalvizhi R.

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Link

https://www.techscience.com/cmc/v75n2/52082/pdf

Reference45 articles.

1. ESIMD: Epileptic seizure identification using metaheuristic deep learning technique;Dhull;Expert Systems,2022

2. Crow search algorithm based ensemble of machine learning classifiers for epileptic seizures detection;Moldovan,2020

3. Phase space elliptic density feature for epileptic EEG signals classification using metaheuristic optimization method;Darjani;Knowledge-Based Systems,2020

4. A method for epileptic seizure detection in EEG signals based on tunable q-factor wavelet transform method using grasshopper optimization algorithm with support vector machine classifier;Malekzadeh;Internal Medicine Today,2021

5. Epileptic seizure classification using ConvLSTM deep classifier and rotation short-time Fourier transform;Chalaki;Journal of Ambient Intelligence and Humanized Computing,2022

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