Abstract- An epileptic seizure is considered the most conspicuous neurological disorder nowadays that can distress to all ages, people.Around 6 decades million people all over the world are travail from epilepsy.Electroencephalograph (EEG) signals are most commonly used for the analysis and detection ofseizures.As EEG signal contains anenormous amount of clatterartifact-included information, so many researchers are trying to support automatic structures for completefeature extraction. This paper provides areview of popular seizure detection methods and performance analysis of the proposed K-Nearest neighbor (KNN), Support Vector Machine(SVM), and Regional Neural Network(RNN) algorithms.
