A dual-branch time–frequency fusion network for EEG-based classification of Alzheimer's disease and frontotemporal dementia
The proposed DBTF-Net leverages temporal and time-frequency information in EEG signals and provides classification of AD and FTD, and visualization analysis indicates that the model attends to disease-relevant discriminative patterns in time-frequency representations, enhancing the interpretability of its classificatio...