Double Discrete Variational Autoencoder for Epileptic EEG Signals Classification

Electroencephalography (EEG) plays a key role in the clinical evaluation of epilepsy and provides strong support for treatment decisions. However, analyzing and decoding EEG recordings is a burdensome task for neurologists and clinical experts. Existing automated detection techniques make considerab...

Full description

Bibliographic Details

Published in:	IEEE Access
Main Authors:	Shufeng Liang, Xin Zhang, Hulin Zhao, Yuanyuan Dang, Rui Hui, Jianning Zhang
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Brain signals epilepsy deep learning discrete representation EEG
Online Access:	https://ieeexplore.ieee.org/document/10599492/