Epileptic Seizure Detection in Separate Frequency Bands Using Feature Analysis and Graph Convolutional Neural Network (GCN) from Electroencephalogram (EEG) Signals

1. 1Preprocess EEG signals to extract relevant features
2. 2Apply feature analysis to separate frequency bands
3. 3Utilize Graph Convolutional Neural Network (GCN) for seizure detection
4. 4Evaluate the model's performance and interpretability

Data scientists and AI engineers on a healthcare team can benefit from this research to improve seizure detection accuracy and interpretability, and collaborate with neurologists to integrate this technology into clinical practice

💡 Using GCN with feature analysis in separate frequency bands can improve epileptic seizure detection accuracy and provide more neurophysiological relevance

🧠 AI for seizure detection: GCN & EEG signals for improved accuracy & interpretability