• DocumentCode
    1489341
  • Title

    Adaptive Mesh Refinement Techniques for 3-D Skin Electrode Modeling

  • Author

    Sawicki, Bartosz ; Okoniewski, Michal

  • Author_Institution
    Schulich Sch. of Eng., Univ. of Calgary, Calgary, AB, Canada
  • Volume
    57
  • Issue
    3
  • fYear
    2010
  • fDate
    3/1/2010 12:00:00 AM
  • Firstpage
    528
  • Lastpage
    533
  • Abstract
    In this paper, we develop a 3-D adaptive mesh refinement technique. The algorithm is constructed with an electric impedance tomography forward problem and the finite-element method in mind, but is applicable to a much wider class of problems. We use the method to evaluate the distribution of currents injected into a model of a human body through skin contact electrodes. We demonstrate that the technique leads to a significantly improved solution, particularly near the electrodes. We discuss error estimation, efficiency, and quality of the refinement algorithm and methods that allow for preserving mesh attributes in the refinement process.
  • Keywords
    bioelectric phenomena; biomedical electrodes; electrocardiography; electroencephalography; mesh generation; physiological models; skin; tomography; 3D skin electrode modeling; adaptive mesh refinement techniques; electric impedance tomography; error estimation; finite-element method; refinement algorithm quality; Adaptive mesh refinement; Biological system modeling; Biomedical electrodes; Biomedical measurements; Defibrillation; Electric variables measurement; Electrocardiography; Finite element methods; Humans; Impedance; Skin; Tomography; Adaptive mesh refinement (AMR); electric stimulation; finite-element method; skin electrodes; Algorithms; Computer Simulation; Electric Impedance; Electrodes; Galvanic Skin Response; Humans; Imaging, Three-Dimensional; Signal Processing, Computer-Assisted; Tomography;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2009.2032163
  • Filename
    5272413