Development of a New Real Time Epilepsy Prediction Approach Based on Adaptive Neuro Fuzzy Inference System

Epilepsy is a result of a disorder in the nervous system of the brain. It causes unprovoked, recurrent seizures. A seizure is a sudden rush of electrical activity in the brain. Being in the w rung place and time may cause huge harm to epileptic patients who lose awareness during the seizure Unfortunately, epilepsy does not have a treatment yet. Seizures may attack anytime and anywhere and patients are unable to know when a seizure can occur. The goal of this work is to develop a system that can alert patients before a seizure attacks. This will help them to prepare a safe environment as an early precaution. We used Neural Network and ANTIS (adaptive neuro-luzzy inference system) for processing and analyzing electroencephalogram (EEG) signals of normal patients versus epileptic patients and verified seizure starting point.