Deep Learning with Multi Modal Ensemble Fusion for Epilepsy Diagnosis

Epilepsy is a neurological condition affecting the brain and nervous system. Major complications and sometimes death also result, if the problem is not diagnosed and treated earlier. Most of existing works on automated Epilepsy detection are based on EEG features alone. Different from these works, this work proposes a multi modal fusion approach with deep learning-based features on each data stream and an ensemble fusion on those results. With multi modal ensemble fusion, the accuracy of Epilepsy diagnosis increases.