• Title of article

    Polygonally Meshed Dipole Model Simulation of the Electrical Field Produced by the Stomach and Intestines

  • Author/Authors

    Kawano, Masaki Graduate School of Advanced Technology and Science - Tokushima University, Japan , Emoto, Takahiro Graduate School of Technology - Industrial and Social Sciences - Tokushima University, Japan

  • Pages
    11
  • From page
    1
  • To page
    11
  • Abstract
    Cutaneous electrogastrography (EGG) is used in clinical and physiological fields to noninvasively measure the electrical activity of the stomach and intestines. Dipole models that mathematically express the electrical field characteristics generated by the stomach and intestines have been developed to investigate the relationship between the electrical control activity (ECA) (slow waves) shown in EGG and the internal gastric electrical activity. However, these models require a mathematical description of the movement of an annular band of dipoles, which limits the shape that can be modeled. In this study, we propose a novel polygonally meshed dipole model to conveniently reproduce ECA based on the movement of the annular band in complex shapes, such as the shape of the stomach and intestines, constructed in three-dimensional (3D) space. We show that the proposed model can reproduce ECA simulation results similar to those obtained using conventional models. Moreover, we show that the proposed model can reproduce the ECA produced by a complex geometrical shape, such as the shape of the intestines. The study results indicate that ECA simulations can be conducted based on structures that more closely resemble real organs than those used in conventional dipole models, with which, because of their intrinsic construction, it would be difficult to include realistic complex shapes, using the mathematical description of the movement of an annular band of dipoles. Our findings provide a powerful new approach for computer simulations based on the electric dipole model.
  • Keywords
    Dipole , EGG , ECA
  • Journal title
    Computational and Mathematical Methods in Medicine
  • Serial Year
    2020
  • Record number

    2613007