Uncertainty quantification in a computationally optimised volume conductor model for deep brain stimulation
Schmidt, Christian
1983-
aut
text
theses
Text
Hochschulschrift
gw
2013
monographic
XA-DE
2013
eng
text/html
application/pdf
Online-Ressource Ill., graph. Darst.
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.
vorgelegt von Christian Schmidt
Rostock, Univ., Fak. für Informatik und Elektrotechnik, Diss., 2013
44.90
http://rosdok.uni-rostock.de/resolve?urn=urn:nbn:de:gbv:28-diss2014-0003-2
http://rosdok.uni-rostock.de/resolve?urn=urn:nbn:de:gbv:28-diss2014-0003-2&pdf
http://nbn-resolving.de/urn:nbn:de:gbv:28-diss2014-0003-2
Uncertainty quantification in a computationally optimised volume conductor model for deep brain stimulation
2013
Druck-Ausgabe
(DE-627)772206929
Schmidt, Christian, 1983 -
urn:nbn:de:gbv:28-diss2014-0003-2
935212636
rakwb
DE-627
140115
77621909X
20240719T043609.0
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