Abstract: In this work, we propose a novel hybrid architecture for epileptic seizure prediction, utilizing a deep learning approach by stacking the convolutional neural network (CNN) and bidirectional ...
Abstract: Epilepsy is a recurrent neurological disorder, and nearly 30% of patients with epilepsy continue to experience symptoms despite taking anti-epileptic drugs. Predicting epileptic seizures ...
Abstract: This article proposes an interpretable channel selection method for electroencephalogram (EEG)-based seizure detection, which can significantly reduce the number of channels and thus the ...
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