Applying Deep Learning on a Few EEG Electrodes during Resting State Reveals Depressive States: A Data Driven Study

The growing number of depressive people and the overload in primary care services make it necessary to identify depressive states with easily accessible biomarkers such as mobile electroencephalography (EEG). Some studies have addressed this issue by collecting and analyzing EEG resting state in a s...

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Detalles Bibliográficos
Autores principales: Jan, Damián, de Vega, Manuel, López-Pigüi, Joana, Padrón, Iván
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688627/
https://www.ncbi.nlm.nih.gov/pubmed/36358432
http://dx.doi.org/10.3390/brainsci12111506

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688627/
https://www.ncbi.nlm.nih.gov/pubmed/36358432
http://dx.doi.org/10.3390/brainsci12111506

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