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Estimation of cardiovascular system parameter from real data
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Title  Estimation of cardiovascular system parameter from real data 
Title of Series  The Leibniz "Mathematical Modeling and Simulation" (MMS) Days 2017 
Author 
Caiazzo, Alfonso

Contributors 
Gottfried Wilhelm Leibniz Universität Hannover (LUH)

License 
CC Attribution  NonCommercial  NoDerivatives 3.0 Germany: You are free to use, copy, distribute and transmit the work or content in unchanged form for any legal and noncommercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor. 
DOI  10.5446/21902 
Publisher  WeierstraßInstitut für Angewandte Analysis und Stochastik (WIAS), Technische Informationsbibliothek (TIB) 
Release Date  2017 
Language  English 
Production Year  2017 
Production Place  Hannover 
Content Metadata
Subject Area  Mathematics 
Abstract  This talks shows preliminary results for the estimation of some parameters regarding the cardiovascular system (e.g., vessel mechanical properties, vasculature resistance) using real patient data. The mathematical model is based on efficient onedimensional network for the blood flow simulation and on the unscented Kalman filtering for the parameter estimation. 