Localization of epileptic foci based on scalp EEG and approximate entropy

In order to reduce damage from invasive check and save resources during iEEG (intracranial electroencephalogram) collection, especially when large area of craniotomy is operated, we combined nonlinear dynamics with medical statistical methods to carry out epileptic foci localization by analyzing scalp EEG (electroencephalogram) which can be collected by noninvasive way. Firstly, ApEn (approximate entropy) was measured to get the complexity of EEG quantitatively. Secondly, a physiological reference range of ApEn which was caculated from normal EEG was set up and different degrees of the complexity changes on each electrode during seizures were obtained. Based on the above steps, the preliminary localization of epileptic foci could be finally achieved. We analyzed scalp EEG data for a total of six patients who had been diagnosed as partial epilepsy, and won the success of the preliminary locations on these six patients.