A decision support system for the classification of event-related potentials

Vasios, C; Matsopoulos, G; Nikita, K; Uzunoglu, N; Papageorgiou, C

dc.contributor.author	Vasios, C	en
dc.contributor.author	Matsopoulos, G	en
dc.contributor.author	Nikita, K	en
dc.contributor.author	Uzunoglu, N	en
dc.contributor.author	Papageorgiou, C	en
dc.date.accessioned	2014-03-01T02:49:07Z
dc.date.available	2014-03-01T02:49:07Z
dc.date.issued	2002	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34312
dc.subject	Autoregressive Model	en
dc.subject	Back Propagation	en
dc.subject	backpropagation algorithm	en
dc.subject	Event Related Potential	en
dc.subject	event-related potential erp	en
dc.subject	Feature Extraction	en
dc.subject	Global Optimization	en
dc.subject	Simulated Annealing	en
dc.subject	Support System	en
dc.subject	Control Subjects	en
dc.subject	Decision Support System	en
dc.subject	Neural Network	en
dc.title	A decision support system for the classification of event-related potentials	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/NEUREL.2002.1057991	en
heal.identifier.secondary	http://dx.doi.org/10.1109/NEUREL.2002.1057991	en
heal.publicationDate	2002	en
heal.abstract	In this paper a decision support system (DSS) for the classification of patients on their collected event related potentials (ERPs) is proposed. The DSS consists of two levels: the feature extraction level and the classification level. The feature extraction level comprises the implementation of the multivariate autoregressive model in conjunction with a global optimization method, for the selection of optimum	en
heal.journalName	Seminar on Neural Network Applications in Electrical Engineering	en
dc.identifier.doi	10.1109/NEUREL.2002.1057991	en