International Journal of Computer Science and Software Engineering (IJCSSE), Volume 3, Issue 1, December 2014 ISSN (Online): 2409-4285 www.IJCSSE.org Page: 86-89 Parametric Modeling of ICTAL Epilepsy EEG Signal Using Prony Method Osama A. Elsayed 1 , Ayman Eldeib 2 and Prof. Fatma Elhefnawi 3 1 Student Member of IEEE, Cairo University, NARSS, Egypt 2 Senior Member of IEEE, Cairo University, Egypt 3 Senior Life Member, IEEE, ERI,NARSS, Egypt ABSTRACT Prony 's method is employed in spectral domain estimation to model epilepsy seizure from human 's Electroencephalograph (EEG).This method assumes that the original signal is a sum of damped complex exponential sinusoids. The method has the best frequency resolution compared to Auto Regression (AR) parametric methods. Modeling of the ictal EEG Epilepsy signal is based on the poles of the signal. Computing the poles of the Prony's method, the signal Modeling is based on the location of the poles and number of poles. As we increase number of poles we can minimize the error due to signal reconstruction. The optimum number of poles is calculated to get the minimum error. Keywords: Electroencephalograph EEG, Epilepsy, Feature Extraction ,Prony’s Method , Poles. 1. INTRODUCTION Epilepsy is a common brain disorder that affects about 1% of the population in the United States and is characterized by abnormal firing of neurons in the brain which may lead to recurrent and spontaneous seizures (with no apparent external cause or trigger). Approximately 30% of the epileptic population is not helped by medications [1]. Seizures can be categorized as general or partial depending on established conventions as explained below. Generalized seizures occur due to simultaneous abnormal activity in multiple parts of both brain hemispheres from the beginning leading loss of consciousness. Partial (or focal) seizures are more common and initiate in one part of the brain, often leading to strange sensations, motor behavior, and even loss of memory. These seizures are further subdivided based on the part of the brain that contains the epileptogenic focus which determines the exact symptoms. Partial seizures can sometimes spread from the focus to other parts of the brain, leading to secondary generalized seizures. Different parts of the brain are implicated in the generation of different types of seizures associated with various types of epilepsy. Partial seizures are attributed to localized disturbances in various areas of the brain. Hence, there is specific area of the brain that could generate all types of epileptic seizure [2]. However, in almost 33% of all epilepsy patients with partial seizures, the epileptogenic focus is located in the temporal lobe. This condition is termed temporal lobe epilepsy. TLE seizures are of primary clinical importance due to the frequency of occurrence and difficulty of diagnosis and treatment. TLE can be further categorized as medial or neocortical based on the location of the focus inside the temporal lobe. Epilepsy is often described as a group of disorders with many types, subtypes, and cross- classifications. Fig. 1. EEG signals normal and abnormal Epilepsy. Abnormal states, primarily observed in neurological disorders like seizures in epilepsy Figure (1). Most current research focuses on publicly available databases ,which are briefly described from MIT-BIT[3], This database, collected at the Children's Hospital Boston, consists of