Reconstruction of brain sources in the presence of noise: strategy for selecting inversion techniques

dc.contributor.author	Βεντούρας, Ερρίκος Μ.	el
dc.contributor.author	Παπαγεωργίου, Χαράλαμπος	el
dc.contributor.author	Μονογυιού, Ευστρατία Α.	el
dc.contributor.author	Ουζούνογλου, Νικόλαος Κ.	el
dc.contributor.author	Χριστοδούλου, Γεώργος Ν.	el
dc.date.accessioned	2015-01-26T10:33:25Z
dc.date.issued	2015-01-26
dc.identifier.uri	http://hdl.handle.net/11400/4749
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	Electroencephalography
dc.subject	Intracranial currents
dc.subject	Ηλεκτροεγκεφαλογράφημα
dc.subject	Ενδοκρανιακά ρεύματα
dc.title	Reconstruction of brain sources in the presence of noise: strategy for selecting inversion techniques	en
heal.type	conferenceItem
heal.generalDescription	MEDICON 2001 - Proceedings of the 9th Mediterranean Conference on Medical & Biological Engineering & Computing	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.keywordURI	http://lod.nal.usda.gov/19230
heal.identifier.secondary	ISSN: 1680-0737
heal.identifier.secondary	ISBN: 953-184-023-7
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.bibliographicCitation	Ventouras, E., Papageorgiou, C., Monoyiou, E., Uzunoglu, N. and Christodoulou, G. (2001). Reconstruction of brain sources in the presence of noise: strategy for selecting inversion techniques. In the 9th Mediterranean Conference on Medical & Biological Engineering & Computing. vol.1. pp.554-557. International Federation for Medical and Biological Engineering: Pula, Croatia, 2001.	en
heal.abstract	The inversion of the Electroencephalogram (EEG) to intracranial currents enables the reconstruction of brain sources. Brain electrical tomography, based on Evoked Potentials (EPs), may be performed using a variety of techniques, such as Algebraic Reconstruction Techniques (ART), Singular Value Decomposition (SVD) and Tikhonov Regularization Techniques (TRT). In the present study a strategy is proposed for selecting the most appropriate inversion technique. The decision is based on the success of existing criteria for computing optimum parameters for the TRT and SVD techniques, on the condition number of the lead-field matrix and the information available concerning the noise, which corrupts the EPs.	en
heal.publisher	International Federation for Medical and Biological Engineering	en
heal.fullTextAvailability	true
heal.conferenceName	Mediterranean Conference on Medical & Biological Engineering & Computing	en
heal.conferenceItemType	full paper