Transformation of EEG Signals Into Image Form During Epileptic Seizure

Electroencephalogram (EEG) is a recording of electrical activity of the brain and it contains valuable information related to the different physiological states of the brain. A quantitative EEG analysis has been developed over the years that introduce objective measure, reflecting not only the characteristics of the brain activity itself but also giving clues concerning the underlying associated neural dynamics. In this paper, the EEG signals during epileptic seizures are transformed into image form. The transformation is conducted at flat EEG (fEEG). fEEG is a new method to map high dimensional EEG signal into low dimensional space. The transformation of the signals consists of three steps. Initially, fEEG is divided into pixels and each of the pixels is determined its membership value in a cluster center. Then, membership value of the pixels at fEEG is determined by using maximum operator of fuzzy set. Finally, the membership degree of the pixels is transformed into image data. Index Term— EEG signals, flat EEG, Fuzzy Neighborhood, Fuzzy Region, Image.