Double Discrete Variational Autoencoder for Epileptic EEG Signals Classification

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...

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

Internet

https://ieeexplore.ieee.org/document/10599492/

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