Evaluation of inverse methods in EEG source localization using a spherical head model

dc.contributor.author	Μονογυιού, Ευστρατία Α.	el
dc.contributor.author	Βεντούρας, Ερρίκος Μ.	el
dc.contributor.author	Κτώνας, Περικλής Υ.	el
dc.contributor.author	Παπαρρηγόπουλος, Θωμάς	el
dc.contributor.author	Δίκαιος, Δημήτρης Γ.	el
dc.date.accessioned	2015-01-29T13:04:29Z
dc.date.issued	2015-01-29
dc.identifier.uri	http://hdl.handle.net/11400/5063
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	Brain
dc.subject	Ηλεκτροεγκεφαλογράφημα
dc.subject	Εγκέφαλος
dc.title	Evaluation of inverse methods in EEG source localization using a spherical head model	en
heal.type	conferenceItem
heal.generalDescription	Proceedings of the 5th European Symposium on Biomedical Engineering	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://id.loc.gov/authorities/subjects/sh85042138
heal.contributorName	Ουζούνογλου, Νικόλαος Κ.	el
heal.contributorName	Σολδάτος, Κωνσταντίνος Ρ.	el
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	2006
heal.bibliographicCitation	Monoyiou, E., Ventouras, E., Ktonas, P., Paparrigopoulos, T., Dikeos, D., et al. (2006). Evaluation of inverse methods in EEG source localization using a spherical head model. In the 5th European Symposium on Biomedical Engineering. University of Patras: Patras, 2006.	en
heal.abstract	The inverse problem in electroencephalography (EEG) consists of localizing the sources within the brain that produce the scalp-measured potentials. The present study investigates various algorithms designed for providing a reliable solution to the inverse problem, focusing on specific sleep EEG waveforms called spindles. Firstly, an analytical model was used, the head being simulated as a piecewise homogeneous conductor consisting of four concentric spheres. As a second step, a numerical solution was evaluated, using the Finite Volume Method (FVM). Performance evaluation was carried on using simulated current sources and various additive Gaussian noise levels. Performance was better for superficial sources. The simulations indicated that both algorithms could perform the reconstruction of the underlying brain electrical activity accurately, even if noise was raised to a fairly high level (SNR=20 dB). Application of the methods to real sleep EEG data provided sleep spindle sources at the thalamus, the parietal and the central area of the cerebral cortex in accordance with existing literature.	en
heal.publisher	[χ.ό.]	el
heal.fullTextAvailability	true
heal.conferenceName	European Symposium on Biomedical Engineering	en
heal.conferenceItemType	full paper