New approach for Alzheimer’s disease classification using topographic maps and deep learning model
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Presented a novel approach for Alzheimer’s disease classification using EEG topographic maps as input to deep learning models. The method captures the spatial distribution of brainwave power across different brain regions and shows improved classification performance over traditional hand-crafted feature methods.