Epilepsy is neurological disorders affecting the quality of life by making people worry about future seizure events. Many of other seizure prediction research shows that some seizure prediction results are still need better and reliable prediction algorithm for helping to develop seizure prediction system. Electrocephalography (EEG) can be use for seizure analysis but using better algorithm we can create system that can give an alarm before seizure occur so patient or doctor can take appropriate action to overcome from the risk. In this study, few methods are compared to find better accuracy to find better algorithm. Using well mannered algorithm we can create automated seizure prediction system. Here, algorithms such as SVM (support vector machine), RA (Regression Analysis), and ANN (Artificial Neural Network) are compared. In this paper, we tried to compare the seizure prediction methods for getting more accurate results for the future work of predicting seizure type.

Support vector machine (SVM), artificial neural network (ANN), EEG, EPILAB Tool, Seizure prediction

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