Transformers for autonomous recognition of psychiatric dysfunction via raw and imbalanced EEG signals

Early identification of mental disorders, based on subjective interviews, is extremely challenging in the clinical setting. There is a growing interest in developing automated screening tools for potential mental health problems based on biological markers. Here, we demonstrate the feasibility of an...

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Detalles Bibliográficos
Autores principales: Gour, Neha, Hassan, Taimur, Owais, Muhammad, Ganapathi, Iyyakutti Iyappan, Khanna, Pritee, Seghier, Mohamed L., Werghi, Naoufel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492733/
https://www.ncbi.nlm.nih.gov/pubmed/37689601
http://dx.doi.org/10.1186/s40708-023-00201-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492733/
https://www.ncbi.nlm.nih.gov/pubmed/37689601
http://dx.doi.org/10.1186/s40708-023-00201-y

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