Poster (Scientific congresses and symposiums)
Parameter Identification Methods in a Model of the Cardiovascular System
Pironet, Antoine; Desaive, Thomas; Dauby, Pierre et al.
20159th IFAC Symposium on Biological and Medical Systems
 

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Keywords :
parameter identification; mathematical models; biomedical systems; medical applications
Abstract :
[en] To be clinically relevant, mathematical models have to be patient-specific, meaning that their parameters have to be identified from patient data. To achieve real time monitoring, it is important to select the best parameter identification method, in terms of speed, efficiency and reliability. This work presents a comparison of seven parameter identification methods applied to a lumped-parameter cardiovascular system model. The seven methods are tested using in silico and experimental reference data. To do so, precise formulae for initial parameter values first had to be developed. The test results indicate that the trust-region reflective method seems to be the best method for the present model. This method (and the proportional method) are able to perform parameter identification in two to three minutes, and will thus benefit cardiac and vascular monitoring applications.
Disciplines :
Cardiovascular & respiratory systems
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Pironet, Antoine ;  Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles
Desaive, Thomas  ;  Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles
Dauby, Pierre  ;  Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles
Chase, J. Geoffrey
Docherty, Paul D.
Language :
English
Title :
Parameter Identification Methods in a Model of the Cardiovascular System
Publication date :
01 September 2015
Event name :
9th IFAC Symposium on Biological and Medical Systems
Event organizer :
The International Federation of Automatic Control
Event place :
Berlin, Germany
Event date :
du 31 août au 2 septembre 2015
Audience :
International
Available on ORBi :
since 07 September 2015

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