Abstract: Seizure prediction is important as far as the safety and health of an epileptic person is concerned. It helps in taking precautions before a seizure strikes a person. There are several methods to predict the onset of seizure. This paper primarily focuses on a survey of such available methods and their important features. The primary aim is to conquer a seizure prediction algorithm which can be used in portable devices which can even be implanted within the patient. Different methods use different EEG features which can uniquely identify the onset of a seizure thereby reducing false positives.
Keywords: seizure, adaboost, fuzzy, spike rate, divergence, ictal, spectral power ratio.