Patient-Specific Preictal Pattern-Aware Epileptic Seizure Prediction with Federated Learning

Patient-Specific Preictal Pattern-Aware Epileptic Seizure Prediction with Federated Learning

Electroencephalography (EEG) signals are the primary source for discriminating the preictal from the interictal stage, enabling early warnings before the seizure onset. Epileptic siezure prediction systems face significant challenges due to data scarcity, diversity, and privacy. This paper proposes...

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Bibliographic Details
Main Authors: Raghdah Saemaldahr, Mohammad Ilyas
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Sensors
Subjects:
epilepsy
seizure prediction
preictal
federated learning (FL)
spiking encoder
graph convolutional neural network (GCNN)
Online Access:https://www.mdpi.com/1424-8220/23/14/6578

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https://www.mdpi.com/1424-8220/23/14/6578

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