Tikhonov regularization using a minimum-product criterion: Application to brain electrical tomography

Ventouras, E; Papageorgiou, C; Uzunoglu, N; Christodoulou, G

dc.contributor.author	Ventouras, E	en
dc.contributor.author	Papageorgiou, C	en
dc.contributor.author	Uzunoglu, N	en
dc.contributor.author	Christodoulou, G	en
dc.date.accessioned	2014-03-01T02:49:06Z
dc.date.available	2014-03-01T02:49:06Z
dc.date.issued	2001	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34305
dc.subject	Discrete Model	en
dc.subject	Evoked Potential	en
dc.subject	Gaussian Measure	en
dc.subject	Inverse Modeling	en
dc.subject	Inverse Problem	en
dc.subject	Parameter Selection	en
dc.subject	Performance Indicator	en
dc.subject	tikhonov regularization	en
dc.title	Tikhonov regularization using a minimum-product criterion: Application to brain electrical tomography	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IEMBS.2001.1019008	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IEMBS.2001.1019008	en
heal.publicationDate	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	en
heal.journalName	Annual International Conference of the IEEE Engineering in Medicine and Biology Society	en
dc.identifier.doi	10.1109/IEMBS.2001.1019008	en