Comparative evaluation of inversion techniques for brain electrical tomography

dc.contributor.author	Βεντούρας, Ερρίκος Μ.	el
dc.contributor.author	Tsvetkov, A.	en
dc.contributor.author	Παπαγεωργίου, Χαράλαμπος	el
dc.contributor.author	Neykov, A.	en
dc.contributor.author	Χριστοδούλου, Γεώργος Ν.	el
dc.date.accessioned	2015-02-01T20:33:04Z
dc.date.available	2015-02-01T20:33:04Z
dc.date.issued	2015-02-01
dc.identifier.uri	http://hdl.handle.net/11400/5383
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 electrical tomography
dc.subject	Ηλεκτροεγκεφαλογράφημα
dc.subject	Εγκεφαλική ηλεκτρική τομογραφία
dc.title	Comparative evaluation of inversion techniques for brain electrical tomography	en
heal.type	conferenceItem
heal.generalDescription	Proceedings of the 12th National Conference with International Participation on Metrology and Metrology Assurance	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.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2002
heal.bibliographicCitation	Ventouras, E., Tsvetkov, A., Papageorgiou, C., Neykov, A. and Christodoulou, G. (2002). Comparative evaluation of inversion techniques for brain electrical tomography. In the 12th National Conference with International Participation on Metrology and Metrology Assurance. pp.205-209. Technical University of Sophia: Sozopol, Bulgaria, 2002.	en
heal.abstract	The quality of the solutions given by the optimized Tikhonov Regularization Technique (TRT) is evaluated in comparison with the Algebraic Reconstruction Techniques (ART), for providing inverse solutions for Brain Electrical Tomography imaging. According to the results, ART algorithms for noisy data perform similarly to TRT, but require prior knowledge of the noise affecting the data. This is not a prerequisite for the TRT method. The performance of three methods used for selecting the regularization parameter t in the TRT is evaluated via computer simulations. It is shown that the use of the L-curve criterion is more reliable than the use of the Minimum-Product and the empirical Composite REsidual and Smoothing Operator (CRESO) criteria.	en
heal.publisher	Technical University of Sophia	en
heal.fullTextAvailability	true
heal.conferenceName	National Conference with International Participation on Metrology and Metrology Assurance	en
heal.conferenceItemType	full paper