EEG Classification Using Hybrid Convolutional Neural Network with Attention Mechanism
摘要
We introduce a hybrid convolutional neural network that integrates 1D and 2D convolutional layers with an attention mechanism for EEG signal classification. Evaluating on two different datasets, our method shows promising results compared to state-of-art over varying clip lengths, emphasizing the architecture’s efficacy in capturing temporal and spatial EEG characteristics.