• DocumentCode
    1642114
  • Title

    Modeling and simulation of Electrical Impedance Tomography (EIT) on ventilated patients with ARDS lungs

  • Author

    Denaï, Mouloud ; Mahfouf, Mahdi ; Mills, Gary H.

  • Author_Institution
    Dept. of Autom. Control & Syst. Eng., Univ. of Sheffield, Sheffield
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Bedside monitoring of lung recruitment is a key feature in the ventilatory management of patients with acute respiratory distress syndrome. Electrical impedance tomography is a relatively new imaging technique which reconstructs the electrical conductivity distribution in a lung cross section from electrical measurements made on electrodes placed on the surface of the thorax. The induced conductivity changes can be continuously monitored to assess the topographical distribution of air in the lung and optimise the ventilation strategy. The purpose of this paper is to illustrate these principles on a physiological model of the lung mechanics simulating the concept of recruitment in ventilated patients with acute respiratory distress syndrome.
  • Keywords
    bioelectric phenomena; biomechanics; biomedical electrodes; electric impedance imaging; electrical conductivity; lung; medical disorders; physiological models; pneumodynamics; ARDS lungs; EIT; acute respiratory distress syndrome; electrical conductivity distribution; electrical impedance tomography; electrical measurement; lung mechanics; physiological model; ventilatory management; Conductivity measurement; Electric variables measurement; Electrodes; Image reconstruction; Impedance measurement; Lungs; Patient monitoring; Recruitment; Surface impedance; Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    BioInformatics and BioEngineering, 2008. BIBE 2008. 8th IEEE International Conference on
  • Conference_Location
    Athens
  • Print_ISBN
    978-1-4244-2844-1
  • Electronic_ISBN
    978-1-4244-2845-8
  • Type

    conf

  • DOI
    10.1109/BIBE.2008.4696762
  • Filename
    4696762