Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer’s Disease Using EEG Data

Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer’s Disease Using EEG Data

Graph neural network (GNN) models are increasingly being used for the classification of electroencephalography (EEG) data. However, GNN-based diagnosis of neurological disorders, such as Alzheimer’s disease (AD), remains a relatively unexplored area of research. Previous studies have reli...

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Bibliographic Details
Main Authors: Dominik Klepl, Fei He, Min Wu, Daniel J. Blackburn, Ptolemaios Sarrigiannis
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Alzheimer's disease
graph neural network
classification
EEG
Online Access:https://ieeexplore.ieee.org/document/10271565/

Internet

https://ieeexplore.ieee.org/document/10271565/

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