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

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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Bibliographic Details
Main Authors: Wei Liu, Gang Li, Ziyi Huang, Weixiong Jiang, Xiaodong Luo, Xingjuan Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Psychiatry
Subjects:
generalized anxiety disorder (GAD)
electroencephalogram (EEG)
convolutional neural network (CNN)
attention mechanisms
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2023.1310323/full

Internet

https://www.frontiersin.org/articles/10.3389/fpsyt.2023.1310323/full

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