Publikation: Dissertationsschrift

Uncertainty quantification in a computationally optimised volume conductor model for deep brain stimulation

Grunddaten
Links
Abstract
Autoren
Einrichtung

Grunddaten

Titel	Uncertainty quantification in a computationally optimised volume conductor model for deep brain stimulation
Erscheinungsjahr	2013
Publikationsform	Elektronische Ressource
Publikationsart	Dissertationsschrift
Sprache	Englisch
Letzte Änderung	21.01.2014 16:12:44
Bearbeitungsstatus	durch UB Rostock abschließend validiert
Dauerhafte URL	http://purl.uni-rostock.de/fodb/pub/43438
Links zu Katalogen

Abstract

This thesis examines the influence of uncertainty in the parameters of a volume conductor model of the human brain on the voltage response and neural activation in the proximity of the stimulated brain area. The quantification of uncertainty in the human brain model was obtained by approximating the probabilistic voltage response and volume of tissue activated by a polynomial expansion, using the polynomial chaos technique. The required number of evaluations of the deterministic model was further reduced by the application of sparse grids with nested nodes.

Autor

Schmidt, Christian

Externe Links

Beschreibung	Link
Metadaten	http://rosdok.uni-rostock.de/resolve?urn=urn:nbn:de:gbv:28-diss2014-0003-2
Volltext (kostenfrei zugänglich ohne Registrierung)	http://rosdok.uni-rostock.de/resolve?urn=urn:nbn:de:gbv:28-diss2014-0003-2&pdf
Link zur Online-Ressource	http://nbn-resolving.de/urn:nbn:de:gbv:28-diss2014-0003-2

Einrichtung

Fakultät für Informatik und Elektrotechnik (IEF)