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I will introduce the topic of computational cardiac electrophysiology and electrocardiograms simulation. Then I will address some questions of general interest, like the modeling of variability and the extraction of features from biomedical signals, relevant for identification and classification. I will illustrate this research with an example of application to the pharmaceutical industry.

Informations sur la vidéo

Données de citation

  • DOI 10.24350/CIRM.V.19423003
  • Citer cette vidéo Gerbeau, Jean-Frédéric (20/07/2018). Fluid-structure interaction in the cardiovascular system. Lecture 2: Cardiac valves. CIRM. Audiovisual resource. DOI: 10.24350/CIRM.V.19423003
  • URL https://dx.doi.org/10.24350/CIRM.V.19423003

Domaine(s)

Bibliographie

  • Astorino, M., Hamers, J., Shadden, S.C., Gerbeau, J.‐F. (2012). A robust and efficient valve model based on resistive immersed surfaces. International Journal for Numerical Methods in Biomedical Engineering, 28(9), 937-959 - https://doi.org/10.1002/cnm.2474
  • Bertoglio, C. , Moireau, P. and Gerbeau, J. (2012), Sequential parameter estimation for fluid–structure problems: Application to hemodynamics. International Journal for Numerical Methods in Biomedical Engineering, 28, 434-455 - https://doi.org/10.1002/cnm.1476
  • Bertoglio, C., Chapelle, D., Fernández, M.A., Gerbeau, J.-F., & Moireau, P. (2013). State observers of a vascular fluid-structure interaction model through measurements in the solid. Computer Methods in Applied Mechanics and Engineering, 256, 149-168 - https://doi.org/10.1016/j.cma.2012.12.010
  • Bertoglio, C., Barber, D., Gaddum, N., Valverde, I., Rutten, M., Beerbaum, P., Moireau, P., Hose, R., & Gerbeau, J.-F. (2014). Identification of artery wall stiffness: In vitro validation and in vivo results of a data assimilation procedure applied to a 3D fluid–structure interaction model. Journal of Biomechanics, 47(5), 1027-1034 - https://doi.org/10.1016/j.jbiomech.2013.12.029
  • Diniz dos Santos, N., Gerbeau, J.-F., & Bourgat, J.-F. (2008). A partitioned fluid-structure algorithm for elastic thin valves with contact. Computer Methods in Applied Mechanics and Engineering, 197(19-20), 1750-1761 - https://doi.org/10.1016/j.cma.2007.03.019
  • Fabrèges, B., & Maury, B. (2014). Approximation of single layer distributions by Dirac masses in finite element computations. Journal of Scientific Computing, 58(1), 25-40 - https://doi.org/10.1007/s10915-013-9723-y
  • Fedele, M., Faggiano, E., Dedè, L., & Quarteroni, A. (2017). A patient-specific aortic valve model based on moving resistive immersed implicit surfaces. Biomechanics and Modeling in Mechanobiology, 16(5), 1779-1803 - http://dx.doi.org/10.1007/s10237-017-0919-1
  • Fernández, M.A. (2013). Incremental displacement-correction schemes for incompressible fluid-structure interaction. Numerische Mathematik, 123(1), 21-65 - http://dx.doi.org/10.1007/s00211-012-0481-9
  • Miao, H., Xia, X., Perelson, A.S., & Wu, H. (2011). On identifiability of nonlinear ODE models and applications in viral dynamics. SIAM Review, 53(1), 3-39 - https://doi.org/10.1137/090757009
  • Moireau, P., Chapelle, D., & Le Tallec, P. (2008). Joint state and parameter estimation for distributed mechanical systems. Computer Methods in Applied Mechanics and Engineering, 197(6-8), 659-677 - https://doi.org/10.1016/j.cma.2007.08.021
  • Moireau, P., Chapelle, D., & Le Tallec, P. (2009). Filtering for distributed mechanical systems using position measurements: perspectives in medical imaging. Inverse Problems, 25(3), Article ID 035010 - https://doi.org/10.1088/0266-5611/25/3/035010
  • Moireau, P., Xiao, N., Astorino, M., Figueroa, C.A., Chapelle, D., Taylor, C.A., & Gerbeau, J.-F. (2012). External tissue support and fluid–structure simulation in blood flows. Biomechanics and Modeling in Mechanobiology, 11(1-2), 1-18 - http://dx.doi.org/10.1007/s10237-011-0289-z
  • Moireau, P., Bertoglio, C., Xiao, N., Figueroa, C.A., Taylor, C.A., Chapelle, D., & Gerbeau, J.-F. (2013). Sequential identification of boundary support parameters in a fluid-structure vascular model using patient image data. Biomechanics and Modeling in Mechanobiology, 12(3), 475–496 - http://dx.doi.org/10.1007/s10237-012-0418-3
  • Pant, S., Fabrèges, B., Gerbeau, J‐F., & Vignon‐Clementel, I.E. (2014). A methodological paradigm for patient‐specific multi‐scale CFD simulations: from clinical measurements to parameter estimates for individual analysis. International Journal for Numerical Methods in Biomedical Engineering, 30(12), 1614-1648 - https://doi.org/10.1002/cnm.2692
  • Thomaseth, K., & Cobelli, C. (1999). Generalized Sensitivity Functions in Physiological System Identification. Annals of Biomedical Engineering, 27(5), 607–616 - http://dx.doi.org/10.1114/1.207

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