Enhancing generalized anxiety disorder diagnosis precision: MSTCNN model utilizing high-frequency EEG signals

Generalized Anxiety Disorder (GAD) is a prevalent mental disorder on the rise in modern society. It is crucial to achieve precise diagnosis of GAD for improving the treatments and averting exacerbation. Although a growing number of researchers beginning to explore the deep learning algorithms for de...

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Detalhes bibliográficos

Principais autores:	Wei Liu, Gang Li, Ziyi Huang, Weixiong Jiang, Xiaodong Luo, Xingjuan Xu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2023-12-01
coleção:	Frontiers in Psychiatry
Assuntos:	generalized anxiety disorder (GAD) electroencephalogram (EEG) convolutional neural network (CNN) attention mechanisms deep learning
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fpsyt.2023.1310323/full
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