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Effective Estimation in Cardiac Modelling

  • Conference paper
Functional Imaging and Modeling of the Heart (FIMH 2007)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4466))

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Abstract

We present a novel strategy to perform estimation for a mechanical system defined to feature the same essential characteristics as a heart model, using measurements of a type that is available in medical imaging. We adopt a sequential approach, and the joint state-parameter estimation procedure is constructed based on a robust and effective state estimator inspired from collocated feedback control. The convergence of the resulting joint estimator can be mathematically established, and we demonstrate its effectiveness by identifying localized contractility and stiffness parameters in a test problem representative of cardiac behavior and using synthetic –albeit realistic –measurements.

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Authors and Affiliations

  1. INRIA, MACS team, B.P.105, 78153 Le Chesnay cedex, France

    Philippe Moireau & Dominique Chapelle

Authors
  1. Philippe Moireau
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  2. Dominique Chapelle
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Frank B. Sachse Gunnar Seemann

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© 2007 Springer Berlin Heidelberg

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Moireau, P., Chapelle, D. (2007). Effective Estimation in Cardiac Modelling. In: Sachse, F.B., Seemann, G. (eds) Functional Imaging and Modeling of the Heart. FIMH 2007. Lecture Notes in Computer Science, vol 4466. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72907-5_37

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  • DOI: https://doi.org/10.1007/978-3-540-72907-5_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72906-8

  • Online ISBN: 978-3-540-72907-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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