A hybrid method for parameter estimation and its application to biomedical systems

• Type: Article in International Scientific Journal
• Date: 2008

Authors

Hugo Alonso (Author) FCUP; Teresa Mendonca (Author) FCUP; Paula Rocha (Author) FEUP

Journal

Title: Computer Methods and Programs in Biomedicine

Vol. 89 No. 2

Pages: 112-122

ISSN: 0169-2607

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 14 Citations

ISI Web of Science

Scopus - 22 Citations

INSPEC

COMPENDEX

Scientific classification

FOS: Engineering and technology > Environmental biotechnology

Other information

Authenticus ID: P-004-1NQ

DOI: 10.1016/j.cmpb.2007.10.014

Abstract (EN): A general version of a hybrid method for parameter estimation is presented with a theoretical support and an illustrative example of application. This method consists of a curve fitting algorithm that takes the initial estimate of the parameterization from an artificial neural network. The idea is to improve the convergence of the algorithm to the sought parameterization using a close initial estimate. The motivation arises from biomedical problems where one is interested in obtaining a meaningful estimate so that it can be used for both description and prediction purposes. Two strategies are proposed for the application of the hybrid method: one is of general applicability, the other is intended for systems defined by the series connection of various blocks. The feasibility of the method is illustrated with a case study related to the neuromuscular blockade of patients undergoing general anaesthesia.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11