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

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

Abstract 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 feasibil...

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Bibliographic Details
Main Authors: Neha Gour, Taimur Hassan, Muhammad Owais, Iyyakutti Iyappan Ganapathi, Pritee Khanna, Mohamed L. Seghier, Naoufel Werghi
Format: Article
Language:English
Published: SpringerOpen 2023-09-01
Series:Brain Informatics
Subjects:
EEG Classification
Transformer Networks
Multivariate Time-series Classification
Class Imbalance
Psychiatric Dysfunction
Online Access:https://doi.org/10.1186/s40708-023-00201-y

Internet

https://doi.org/10.1186/s40708-023-00201-y

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