Independent component analysis applied to the P600 component of event-related potentials

dc.contributor.author	Βεντούρας, Ερρίκος Μ.	el
dc.contributor.author	Μοάτσος, Μ.	el
dc.contributor.author	Παπαγεωργίου, Χαράλαμπος	el
dc.contributor.author	Ραμπαβίλας, Ανδρέας Ν.	el
dc.contributor.author	Ουζούνογλου, Νικόλαος Κ.	el
dc.date.accessioned	2015-01-25T21:21:34Z
dc.date.available	2015-01-25T21:21:34Z
dc.date.issued	2015-01-25
dc.identifier.uri	http://hdl.handle.net/11400/4729
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	Bioelectric potentials
dc.subject	Biomedical electrodes
dc.subject	Βιοηλεκτρικό δυναμικό
dc.subject	Βιοϊατρικά ηλεκτρόδια
dc.title	Independent component analysis applied to the P600 component of event-related potentials	en
heal.type	conferenceItem
heal.generalDescription	Proceedings of the 26th International Conference of the IEEE Engineering in Medicine & Biology Society	en
heal.classification	Medicine
heal.classification	Biomedical engineering
heal.classification	Ιατρική
heal.classification	Βιοϊατρική τεχνολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85014237
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Βιοϊατρική τεχνολογία
heal.identifier.secondary	DOI: 10.1109/IEMBS.2004.1403095
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2004
heal.bibliographicCitation	Ventouras, E., Moatsos, M., Papageorgiou, C., Rabavilas, A. and Uzunoglu, N. (2004). Independent component analysis applied to the P600 component of event-related potentials. In the 26th International Conference of the IEEE Engineering in Medicine & Biology Society. vol. 1. pp. 80-83. IEEE Engineering in Medicine and Biology Society: San Francisco, 2004.	en
heal.abstract	The analysis of the P600 component of event-related potentials (ERPs) has attracted attention due to its relation to covert cognitive mechanisms, in connection to memory processes. The component may often be low-amplitude, compared to other components such as the P300. Independent component analysis (ICA) techniques have been successfully applied in ERP processing, in the framework of blind source separation (BSS) for unmixing recorded potentials into a sum of temporally independent and spatially fixed components. In the present work ICA was used for reconstructing averaged ERPs in the time window of the P600 component, selecting a subset of independent components' projections to the original electrode recording positions. The selection is based on two empirical criteria, selecting the projection that reconstructs a P600 nearest temporally to the original P600, or selecting the projection combination - up to a preselected maximum number of combined projections providing maximum reconstructed P600 amplitude. The techniques are tested on ERPs recorded from healthy subjects and psychiatric patients, notably improving the differentiation of the two groups, based on either the amplitude or the latency of the reconstructed P600 component, in comparison to results achieved using the original ERPs.	en
heal.publisher	IEEE	el
heal.fullTextAvailability	true
heal.conferenceName	International Conference of the IEEE Engineering in Medicine & Biology Society	en
heal.conferenceItemType	full paper