Tikhonov regularization using a minimum-product criterion

dc.contributor.author	Βεντούρας, Ερρίκος Μ.	el
dc.contributor.author	Παπαγεωργίου, Χαράλαμπος	el
dc.contributor.author	Ουζούνογλου, Νικόλαος Κ.	el
dc.contributor.author	Χριστοδούλου, Γιώργος Ν.	el
dc.date.accessioned	2015-01-25T20:21:45Z
dc.date.available	2015-01-25T20:21:45Z
dc.date.issued	2015-01-25
dc.identifier.uri	http://hdl.handle.net/11400/4726
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	Inverse problems (Differential equations)
dc.subject	Ηλεκτροεγκεφαλογραφία
dc.subject	Αντίστροφα προβλήματα
dc.title	Tikhonov regularization using a minimum-product criterion	en
heal.type	conferenceItem
heal.secondaryTitle	application to brain electrical tomography	en
heal.generalDescription	Proceedings of the 23rd International Conference of the IEEE Engineering in Medicine & Biology Society (23rd IEEE-EMBS), vol.1	en
heal.classification	Medicine
heal.classification	Medical technology
heal.classification	Ιατρική
heal.classification	Ιατρική τεχνολογία
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-Ιατρική τεχνολογία
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85042138
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85067684
heal.identifier.secondary	DOI: 10.1109/IEMBS.2001.1019008
heal.identifier.secondary	ISBN: 0-7803-7211-5
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2001
heal.bibliographicCitation	Ventouras, E., Papageorgiou, C., Uzunoglu, N. and Christodoulou, G. (2001). Tikhonov regularization using a minimum-product criterion: application to brain electrical tomography. In the 23rd International Conference of the IEEE Engineering in Medicine & Biology Society. vol. 1. pp. 608 - 611. Istanbul, 2001.	en
heal.abstract	Tikhonov regularization is applied to the inversion of EEG potentials. The discrete model of the inversion problem results from an analytic technique providing information about extended intracranial distributions, with separate current source and sink positions. A three-layered concentric sphere model is used for representing head geometry. The selected regularization parameter is the minimizer of the product of the norm of the Tikhonov regularized solution and the norm of the corresponding residual. The simulations performed indicate that this regularization parameter selection method is more robust than the empirical composite residual and smoothing operator (CRESO) approach, in cases where only gaussian measurement noise exists in the discrete inverse model equation. Therefore the minimum product criterion can be used in real evoked potentials' data inversions, for the creation of brain electrical activity tomographic images, when the amount of noise present in the measured data is unknown.	en
heal.fullTextAvailability	true
heal.conferenceName	Engineering in Medicine and Biology Society	en
heal.conferenceItemType	full paper