Comput Methods Programs Biomed - Local identifiability and sensitivity analysis of neuromuscular blockade and depth of hypnosis models.

Tópicos

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Resumo

This paper addresses the local identifiability and sensitivity properties of two classes of Wiener models for the neuromuscular blockade and depth of hypnosis, when drug dose profiles like the ones commonly administered in the clinical practice are used as model inputs. The local parameter identifiability was assessed based on the singular value decomposition of the normalized sensitivity matrix. For the given input signal excitation, the results show an over-parameterization of the standard pharmacokinetic/pharmacodynamic models. The same identifiability assessment was performed on recently proposed minimally parameterized parsimonious models for both the neuromuscular blockade and the depth of hypnosis. The results show that the majority of the model parameters are identifiable from the available input-output data. This indicates that any identification strategy based on the minimally parameterized parsimonious Wiener models for the neuromuscular blockade and for the depth of hypnosis is likely to be more successful than if standard models are used.

Resumo Limpo

paper address local identifi sensit properti two class wiener model neuromuscular blockad depth hypnosi drug dose profil like one common administ clinic practic use model input local paramet identifi assess base singular valu decomposit normal sensit matrix given input signal excit result show overparameter standard pharmacokineticpharmacodynam model identifi assess perform recent propos minim parameter parsimoni model neuromuscular blockad depth hypnosi result show major model paramet identifi avail inputoutput data indic identif strategi base minim parameter parsimoni wiener model neuromuscular blockad depth hypnosi like success standard model use

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