Assessment of reduced-order unscented Kalman filter for parameter identification in 1-dimensional blood flow models using experimental data-Reference-Cited by-同舟云学术

Assessment of reduced-order unscented Kalman filter for parameter identification in 1-dimensional blood flow models using experimental data

Published:2017-01-13 Issue:8 Volume:33 Page:e2843
ISSN:2040-7939
Container-title:International Journal for Numerical Methods in Biomedical Engineering
language:en
Short-container-title:Int. J. Numer. Meth. Biomed. Engng.

Author:

Caiazzo A.¹,Caforio Federica²,Montecinos Gino³,Muller Lucas O.⁴⁵,Blanco Pablo J.⁴⁵,Toro Eluterio F.²

Affiliation:

1. Weierstrass Institute for Applied Analysis and Stochastics (WIAS); Leibniz Institut im Forschungsverbund; Berlin e.V.

2. Laboratory of Applied Mathematics, DICAM; University of Trento; Italy

3. Center for Mathematical Modeling; Universidad de Chile; Santiago Chile

4. Laboratório Nacional de Computação Científica; Petrópolis Brazil

5. Instituto Nacional de Ciência e Tecnologia em Medicina Assistida por Computação Científica; Petrópolis Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro

Fondo Nacional de Desarrollo Científico y Tecnológico

Publisher

Wiley

Subject

Applied Mathematics,Computational Theory and Mathematics,Molecular Biology,Modelling and Simulation,Biomedical Engineering,Software

Link

Reference37 articles.

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