Automatic Diagnosis of Epileptic Seizures in EEG Signals Using Fractal Dimension Features and Convolutional Autoencoder Method

Automatic Diagnosis of Epileptic Seizures in EEG Signals Using Fractal Dimension Features and Convolutional Autoencoder Method

This paper proposes a new method for epileptic seizure detection in electroencephalography (EEG) signals using nonlinear features based on fractal dimension (FD) and a deep learning (DL) model. Firstly, Bonn and Freiburg datasets were used to perform experiments. The Bonn dataset consists of binary...

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Bibliographic Details
Main Authors: Anis Malekzadeh, Assef Zare, Mahdi Yaghoobi, Roohallah Alizadehsani
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Big Data and Cognitive Computing
Subjects:
epileptic seizures
EEG
diagnosis
fractal dimensions
mRMR
CNN-AE
Online Access:https://www.mdpi.com/2504-2289/5/4/78

Internet

https://www.mdpi.com/2504-2289/5/4/78

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