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Epileptic Seizure Detection via Frequency-Aware Graph Convolutional Networks Achieves 99% Accuracy Technology
Artificial Intelligence #epileptic seizure detection#eeg signals

Epileptic Seizure Detection via Frequency-Aware Graph Convolutional Networks Achieves 99% Accuracy

A research team has developed a frequency-aware framework for epileptic seizure detection using EEG signals. By decomposing signals into five frequency bands and applying a graph convolutional neural network (GCN), the method achieves up to 99.7% accuracy on specific bands and an overall broadband accuracy of 99.01% on the CHB-MIT dataset, while enhancing neurophysiological interpretability.

Jun 17, 2026 1 source