Local identifiability and sensitivity analysis of neuromuscular blockade and depth of hypnosis models

• Type: Article in International Scientific Journal
• Date: 2014

Authors

Silva, MM (Author) Other; Lemos, JM (Author) Other; Coito, A (Author) Other; Costa, BA (Author) Other; Wigren, T (Author) Other; Mendonca, T (Author) FCUP

Journal

Title: Computer Methods and Programs in Biomedicine

Vol. 113

Pages: 23-36

ISSN: 0169-2607

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 11 Citations

Scopus - 19 Citations

Other information

Authenticus ID: P-008-GVN

DOI: 10.1016/j.cmpb.2013.07.020

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 14