Article (Scientific journals)
Structural identifiability analysis of a cardiovascular system model
Pironet, Antoine; Dauby, Pierre; Chase, J. Geoffrey et al.
2016In Medical Engineering and Physics
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Keywords :
Identifiability; Lumped-parameter model; Parameter identification; Physiological model
Abstract :
[en] The six-chamber cardiovascular system model of Burkhoff and Tyberg has been used in several theoretical and experimental studies. However, this cardiovascular system model (and others derived from it) are not identifiable from any output set. In this work, two such cases of structural non-identifiability are first presented. These cases occur when the model output set only contains a single type of information (pressure or volume). A specific output set is thus chosen, mixing pressure and volume information and containing only a limited number of clinically available measurements. Then, by manipulating the model equations involving these outputs, it is demonstrated that the six-chamber cardiovascular system model is structurally globally identifiable. A further simplification is made, assuming known cardiac valve resistances. Because of the poor practical identifiability of these four parameters, this assumption is usual. Under this hypothesis, the six-chamber cardiovascular system model is structurally identifiable from an even smaller dataset. As a consequence, parameter values computed from limited but well-chosen datasets are theoretically unique. This means that the parameter identification procedure can safely be performed on the model from such a well-chosen dataset. Thus, the model may be considered suitable for use in diagnosis.
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
Dauby, Pierre  ;  Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles
Chase, J. Geoffrey
Docherty, Paul D.
Revie, James A.
Desaive, Thomas  ;  Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles
Language :
English
Title :
Structural identifiability analysis of a cardiovascular system model
Publication date :
March 2016
Journal title :
Medical Engineering and Physics
ISSN :
1350-4533
eISSN :
1873-4030
Publisher :
Elsevier, Oxford, United Kingdom
Peer reviewed :
Peer Reviewed verified by ORBi
Commentary :
Copyright (c) 2016 IPEM. Published by Elsevier Ltd. All rights reserved.
Available on ORBi :
since 15 March 2016

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