• DocumentCode
    429156
  • Title

    A software framework for solving problems of bioelectricity applying high-order finite elements

  • Author

    Cole, M. ; Sachse, F.B. ; Weinstein, D.M. ; Parker, S. ; Kirby, R.M.

  • Author_Institution
    Sci. Comput. & Imaging Inst., Utah Univ., Salt Lake City, UT, USA
  • Volume
    1
  • fYear
    2004
  • fDate
    1-5 Sept. 2004
  • Firstpage
    821
  • Lastpage
    824
  • Abstract
    Electrical activity in biological media can be described in a mathematical way, which is applicable to computer-based simulation. Biophysically mathematical descriptions provide important insights into the electrical and electrophysiological properties of cells, tissues, and organs. Examples of these descriptions are Maxwell´s and Poisson´s equations for electromagnetic and electric fields. Commonly, numerical techniques are applied to calculate electrical fields, e.g. the finite element method. Finite elements can be classified on the order of the underlying Interpolation. High-order finite elements provide enhanced geometric flexibility and can increase the accuracy of a solution. The aim of this work is the design of a framework for describing and solving high-order finite elements in the SCIRun/BioPSE software system, which allows geometric modeling, simulation, and visualization for solving bioelectric field problems. Currently, only low-order elements are supported. Our design for high-order elements concerns interpolation of geometry and physical fields. The design is illustrated by an implementation of one-dimensional elements with cubic interpolation of geometry and field variables.
  • Keywords
    Maxwell equations; Poisson equation; bioelectric phenomena; biological effects of fields; digital simulation; finite element analysis; interpolation; medical computing; physiological models; Maxwell equation; Poisson equation; bioelectricity; computer-based simulation; cubic interpolation; electric field; electrical activity; electromagnetic field; electrophysiological property; finite element method; geometric flexibility; geometric modeling; one-dimensional element; software framework; Bioelectric phenomena; Biological system modeling; Biology computing; Computational modeling; Computer simulation; Finite element methods; Geometry; Interpolation; Poisson equations; Solid modeling; Finite element method; Poisson equation; SCIRun; bioelectricity; high-order elements; numerical techniques;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-8439-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2004.1403284
  • Filename
    1403284