Probabilistic description of model set response in neuromuscular blockade

dc.contributor.author Conceição Nunes Rocha en
dc.contributor.author Lemos,JM en
dc.contributor.author Mendonca,TF en
dc.contributor.author Silva,ME en
dc.date.accessioned 2017-12-30T19:33:53Z
dc.date.available 2017-12-30T19:33:53Z
dc.date.issued 2014 en
dc.description.abstract This work addresses the problem of computing the time evolution of the probability density function (pdf) of the state in a nonlinear neuromuscular blockade (NMB) model, assuming that the source of uncertainty is the knowledge about one parameter. The NMB state is enlarged with the parameter, that verifies an equation given by its derivative being zero and has an initial condition described by a known pdf. By treating the resulting enlarged state-space model as a stochastic differential equation, the pdf of the state verifies a special case of the Fokker-Planck equation in which the second derivative terms vanish. This partial differential equation is solved with a numerical method based on Trotter’s formula for semigroup decomposition. The method is illustrated with results for a reduced complexity NMB model. A comparison of the predicted state pdf with clinical data for real patients is provided. © Springer International Publishing Switzerland 2014. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/5138
dc.identifier.uri http://dx.doi.org/10.1007/978-3-319-01857-7_39 en
dc.language eng en
dc.relation 6121 en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Probabilistic description of model set response in neuromuscular blockade en
dc.type conferenceObject en
dc.type Publication en
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