Classification of epileptic seizures in EEG data based on iterative gated graph convolution network

Classification of epileptic seizures in EEG data based on iterative gated graph convolution network

IntroductionThe automatic and precise classification of epilepsy types using electroencephalogram (EEG) data promises significant advancements in diagnosing patients with epilepsy. However, the intricate interplay among multiple electrode signals in EEG data poses challenges. Recently, Graph Convolu...

Full description

Bibliographic Details
Main Authors: Yue Hu, Jian Liu, Rencheng Sun, Yongqiang Yu, Yi Sui
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-08-01
Series:Frontiers in Computational Neuroscience
Subjects:
seizure classification
GCN
iterative graph optimization
long-term dependencies in EEG series
imbalanced distribution
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2024.1454529/full

Internet

https://www.frontiersin.org/articles/10.3389/fncom.2024.1454529/full

Similar Items