@article{(Open Science Index):https://publications.waset.org/pdf/12795, title = {Classification Control for Discrimination between Interictal Epileptic and Non – Epileptic Pathological EEG Events}, author = {Sozon H. Papavlasopoulos and Marios S. Poulos and George D. Bokos and Angelos M. Evangelou}, country = {}, institution = {}, abstract = {In this study, the problem of discriminating between interictal epileptic and non- epileptic pathological EEG cases, which present episodic loss of consciousness, investigated. We verify the accuracy of the feature extraction method of autocross-correlated coefficients which extracted and studied in previous study. For this purpose we used in one hand a suitable constructed artificial supervised LVQ1 neural network and in other a cross-correlation technique. To enforce the above verification we used a statistical procedure which based on a chi- square control. The classification and the statistical results showed that the proposed feature extraction is a significant accurate method for diagnostic discrimination cases between interictal and non-interictal EEG events and specifically the classification procedure showed that the LVQ neural method is superior than the cross-correlation one. }, journal = {International Journal of Psychological and Behavioral Sciences}, volume = {1}, number = {2}, year = {2007}, pages = {144 - 151}, ee = {https://publications.waset.org/pdf/12795}, url = {https://publications.waset.org/vol/2}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 2, 2007}, }