Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction

7 Apr 2019Ramy HusseinMohamed Osama AhmedRabab WardZ. Jane WangLevin KuhlmannYi Guo

Objective: The aim of this study is to develop an efficient and reliable epileptic seizure prediction system using intracranial EEG (iEEG) data, especially for people with drug-resistant epilepsy. The prediction procedure should yield accurate results in a fast enough fashion to alert patients of impending seizures... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Seizure prediction Melbourne University Seizure Prediction CNN+FCN AUC 0.840 # 1