An efficient CNN based epileptic seizures detection framework using encrypted EEG signals for secure telemedicine applications

An efficient CNN based epileptic seizures detection framework using encrypted EEG signals for secure telemedicine applications

Recently, the rapid development of Artificial Intelligence (AI) applied in the Medical Internet of Things (MIoT) for the diagnosis of diseases such as epilepsy based on the investigation of electroencephalography (EEG) signals. Thanks to AI-based deep learning models, the procedure of epileptic seiz...

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Bibliographic Details
Main Authors: Athar A. Ein Shoka, Mohamed M. Dessouky, Ayman El-Sayed, Ezz El-Din Hemdan
Format: Article
Language:English
Published: Elsevier 2023-02-01
Series:Alexandria Engineering Journal
Subjects:
Electroencephalography (EEG) signals
Epileptic seizures
Convolutional Neural Networks (CNNs)
Transfer Learning (TL)
Arnold Transform
And Chaotic Baker Map
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016822006639

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http://www.sciencedirect.com/science/article/pii/S1110016822006639

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