@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},
	}