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Title: Discriminating OCD patients from healthy controls using pattern recognition methods on the P600 component of ERP signals
Authors: Καλατζής, Ιωάννης
Βεντούρας, Ερρίκος Μ.
Πήλιουρας, Νικόλαος
Γκλώτσος, Δημήτριος
Παπαγεωργίου, Χαράλαμπος
Contributors: Ραμπαβίλας, Ανδρέας Ν.
Σολδάτος, Κωνσταντίνος Ρ.
Κάβουρας, Διονύσης Α.
Item type: Conference publication
Conference Item Type: Full Paper
Keywords: Pattern recognition methods;Powerful classifiers;Μέθοδοι αναγνώρισης προτύπων;Ισχυροί ταξινομητές
Subjects: Medicine
Medical technology
Ιατρικά όργανα και εξοπλισμός
Issue Date: 29-Jan-2015
Publisher: International Federation for Medical and Biological Engineering
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.
Description: Proceedings of the 3rd European Medical and Biological Engineering Conference) (CD-ROM)
Language: English
Citation: 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.
Conference: European Medical and Biological Engineering Conference
Access scheme: Embargo
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
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