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...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2023-09-01
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Series: | Brain Informatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40708-023-00201-y |