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

38 citations · 38 across the 1 of their papers we have counts for

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1 paper

cs.NE2019★ 38 cited

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

Ramy Hussein, Mohamed Osama Ahmed, Rabab Ward +3

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-res…