A Novel Seizure Prediction Method Based on Generative Features

摘要

The diagnosis of epilepsy in hospital is mostly judged by experienced medical personnel visually observing brain waves combined with some characteristic clinical manifestations. As brain signal's complexity the understanding of EEG signal still remains challenge. In this paper we proposed a novel seizure prediction method based on generative features. Then predict seizures according to the EEG information of the epileptic patients. And we use the Extreme learning machine as the classifier of generative features. Finally, we get the highest accuracy score of 98%.