Journal of Applied Sciences1812-56541812-5662Asian Network for Scientific Information10.3923/jas.2014.1658.1661NanthiniB. Suguna SanthiB. 1220141414Brain is the essential organ for human being because it performs
the co-ordination of different specialized function of the body through neural
and chemical communication. Seizures are symptoms of a brain difficulty. It
happens because of sudden abnormal electrical activity in the brain. Human brain
emits the electric field in waves that can be precise by the device called an
electroencephalography (EEG). As done in the previous study, Gray level Cooccurrence
matrix (GLCM) is used for extracting essential features from the EEG signal.
Selected features are classified using the support vector machine (SVM) method.
This proposed system brings forth the achievement of sensitivity, specificity
and classification accuracy which are 90, 90 and 90%, respectively with simple
preprocessing. According to the previous study Artificial Neural Network (ANN)
was analyzed. The most important objective of this analysis is to compare the
performance of classifiers such as ANN and SVM for seizure detection.]]>Subasi, A.,200631320328Subasi, A. and E. Ercelebi,2005788799Andrzejak, R.G., K. Lehnertz, F. Mormann, C. Rieke, P. David and C.E. Elger,20012001Ubeyli, E.D.,20083419541962Ubeyli, E.D.,200919297308Guo, L., D. Rivero, J.A. Seoane and A. Pazos,20092009pp: 177184Misra, U.K. and J. Kalita,2009Siuly, Y. Li and P.P. Wen,2011104358372Subasi, A.,20073210841093Subasi, A.,200528701711Nanthini, B.S. and B. Santhi,2012429499Ubeyli, E.D.,201037233239Ubeyli, E. and I. Guler,200728592603Orhan, U., M. Hekim and M. Ozer,2011381347513481