Resting-state EEG-based convolutional neural network for the diagnosis of depression and its severity

Purpose: The study aimed to assess the value of the resting-state electroencephalogram (EEG)-based convolutional neural network (CNN) method for the diagnosis of depression and its severity in order to better serve depressed patients and at-risk populations. Methods: In this study, we used the resti...

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Detalles Bibliográficos
Autores principales: Li, Mengqian, Liu, Yuan, Liu, Yan, Pu, Changqin, Yin, Ruocheng, Zeng, Ziqiang, Deng, Libin, Wang, Xing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589234/
https://www.ncbi.nlm.nih.gov/pubmed/36299253
http://dx.doi.org/10.3389/fphys.2022.956254

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589234/
https://www.ncbi.nlm.nih.gov/pubmed/36299253
http://dx.doi.org/10.3389/fphys.2022.956254

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