DDformer: A spatio-temporal-frequency transformer with contrastive learning and data augmentation for robust EEG signals analysis in dementia diagnosis | Synapse
March 3, 2026
DDformer: A spatio-temporal-frequency transformer with contrastive learning and data augmentation for robust EEG signals analysis in dementia diagnosis
Key Points
Enhanced EEG signals using a spatio-temporal-frequency transformer yield robust results in dementia diagnosis, improving detection precision.
Primary outcome included signal accuracy, showing a notable increase in diagnostic capability when using contrastive learning and data augmentation techniques.
Assessment using spatio-temporal-frequency transformer focused on EEG signal improvement for effective dementia diagnosis.
This approach may enable more accurate dementia diagnostics, highlighting the need for further validation across different populations.