Generation of synthetic EEG data for training algorithms supporting the diagnosis of major depressive disorder

INTRODUCTION: Major depressive disorder (MDD) is the most common mental disorder worldwide, leading to impairment in quality and independence of life. Electroencephalography (EEG) biomarkers processed with machine learning (ML) algorithms have been explored for objective diagnoses with promising res...

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Detalles Bibliográficos
Autores principales: Carrle, Friedrich Philipp, Hollenbenders, Yasmin, Reichenbach, Alexandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10577178/
https://www.ncbi.nlm.nih.gov/pubmed/37849893
http://dx.doi.org/10.3389/fnins.2023.1219133

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10577178/
https://www.ncbi.nlm.nih.gov/pubmed/37849893
http://dx.doi.org/10.3389/fnins.2023.1219133

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