Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/4768
Title: SVM-based discrimination of one-month abstinent alcoholics from healthy controls using the P600 component of ERP signals
Authors: Καλατζής, Ιωάννης
Πήλιουρας, Νικόλαος
Βεντούρας, Ερρίκος Μ.
Παπαγεωργίου, Χαράλαμπος
Λιάππας, Ιωάννης Α.
Contributors: Νικολάου, Χρυσούλα
Ραμπαβίλας, Ανδρέας Ν.
Κάβουρας, Διονύσης Α.
Item type: Conference publication
Conference Item Type: Full Paper
Keywords: Alcoholics;Pattern recognition;Αλκοολικοί;Αναγνώριση προτύπων
Subjects: Medicine
Human physiology
Ιατρική
Ανθρώπινη φυσιολογία
Issue Date: 26-Jan-2015
2004
Abstract: The aim of this study was to design a computer-based classification system capable of distinguishing one-month abstinent alcoholics from normal controls by Event-related potential (ERP) signals using the P600 component. Clinical material comprised twenty one-month abstinent alcoholics and an equal number of gender and aged-matched healthy controls. All subjects were evaluated by a computerized version of the digit span Wechsler test. EEG activity was recorded and digitized from 15 scalp electrodes (leads). A dedicated computer software was developed and it was used to read the ERP signals and to calculate features related to the P600 component (500-800 ms) of the ERP signal. Nineteen features were generated and were employed in the design of an optimum SVM-classifier at each lead. The outcomes of those SVM-classifiers were selected by a majority-vote engine (MVE), which assigned each subject to either the normal or alcoholic classes. MVE-classification accuracy was 97.5% when using all leads and 92.5% or 77.5% when using only the right or left scalp leads respectively. These findings provide evidence of right hemisphere dysfunction in alcoholics affecting the processing of information that assigns a specific response to a specific stimulus, as those mechanisms are reflected by the P600 component of ERPs.
Description: Proceedings of the 1st International Conference “From Scientific Computing to Computational Engineering” (1ST IC-SCCE) (CD-ROM).
Language: English
Citation: Kalatzis, I., Piliouras, N., Ventouras, E., Papageorgiou, C., Liappas, I., et al. (2004). SVM-based discrimination of one-month abstinent alcoholics from healthy controls using the P600 component of ERP signals. In the 1st International Conference “From Scientific Computing to Computational Engineering. University of Patras: Athens, 8th-10th September 2004.
Conference: International Conference From Scientific Computing to Computational Engineering
Access scheme: Embargo
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/4768
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