As one of the most challenging data analysis tasks in chronic brain diseases, epileptic seizure prediction has attracted extensive attention from many researchers. Seizure prediction, can greatly improve patients' quality life ways, such as preventing accidents and reducing harm that may occur during seizures. This work aims to develop a general method for predicting seizures specific patients ...

In this study, we are interested in the epilepsy seizures problem. Indeed, used binary SVM to predict ongoing and multiclass different states of patients' epilepsy. Brain activity is as an efficient source for predicting seizures, it's recorded Electroencephalography (EEG) segments signal. We propose compare paper, three ideas select channels: highest frequency channels, channels left part head...