Discriminating OCD patients from healthy controls using pattern recognition methods on the P600 component of ERP signals

dc.contributor.author	Καλατζής, Ιωάννης	el
dc.contributor.author	Βεντούρας, Ερρίκος Μ.	el
dc.contributor.author	Πήλιουρας, Νικόλαος	el
dc.contributor.author	Γκλώτσος, Δημήτριος	el
dc.contributor.author	Παπαγεωργίου, Χαράλαμπος	el
dc.date.accessioned	2015-01-29T11:39:46Z
dc.date.issued	2015-01-29
dc.identifier.uri	http://hdl.handle.net/11400/5053
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	Pattern recognition methods
dc.subject	Powerful classifiers
dc.subject	Μέθοδοι αναγνώρισης προτύπων
dc.subject	Ισχυροί ταξινομητές
dc.title	Discriminating OCD patients from healthy controls using pattern recognition methods on the P600 component of ERP signals	en
heal.type	conferenceItem
heal.generalDescription	Proceedings of the 3rd European Medical and Biological Engineering Conference) (CD-ROM)	en
heal.classification	Medicine
heal.classification	Medical technology
heal.classification	Ιατρική
heal.classification	Ιατρικά όργανα και εξοπλισμός
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://skos.um.es/unescothes/C02465
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Ιατρικά όργανα και εξοπλισμός
heal.contributorName	Ραμπαβίλας, Ανδρέας Ν.	el
heal.contributorName	Σολδάτος, Κωνσταντίνος Ρ.	el
heal.contributorName	Κάβουρας, Διονύσης Α.	el
heal.identifier.secondary	ISSN: 1727-1983
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2005
heal.bibliographicCitation	Kalatzis, I., Ventouras, E., Piliouras, N., Glotsos, N., Papageorgiou, C., et al. (2005). Discriminating OCD patients from healthy controls using pattern recognition methods on the P600 component of ERP signals. In the 3rd European Medical and Biological Engineering Conference. IFMBE Proceedings. 11(1). International Federation for Medical and Biological Engineering: Prague, Czech Republic, 20th-25 November 2005.	en
heal.abstract	A series of inverted Event-Related Potential (ERP) signals were analyzed with pattern recognition methods using new morphological features and powerful classifiers, in an attempt to develop a computer-aided discrimination system of OCD patients from controls. Eighteen OCD patients and twenty controls were examined. All subjects were evaluated by a computerized version of the digit span subtest of the Wechsler Adult Intelligence Scale. EEGs were recorded from 15 scalp leads, and they were inverted to intracranial current sources using the BET-ART method. 60 source locations were positioned on a spherical shell corresponding to the outer layers of the cortex. From the P600 component of each signal nineteen waveformfeatures were calculated. The Probabilistic Neural Network (PNN) classifier was developed, and it was fed with feature combinations from all source locations. Highest overall accuracy (84.2%) was found at the right frontal brain region indicating that OCD patients may present deficits related to working memory mechanisms corresponding to that region.	en
heal.publisher	International Federation for Medical and Biological Engineering	en
heal.fullTextAvailability	true
heal.conferenceName	European Medical and Biological Engineering Conference	en
heal.conferenceItemType	full paper