Optimizing EEG Graphs for Real-time Motor Imagery Signal Classification

The EEG Graph Lottery Ticket (EEG GLT) algorithm constructs an optimal adjacency matrix for classifying real-time electroencephalography (EEG) motor imagery (MI) signals using graph convolutional neural networks (GCNs), outperforming existing methods while reducing computational complexity.