Assessment of cardiac stroke volume in patients with implanted cardiac pacemaker using parametric electrical impedance tomography: A theoretical 2D study

Muhammad Mhajna, Shimon Abboud

Research output: Contribution to journalArticlepeer-review

Abstract

The present theoretical study examines the ability to estimate cardiac stroke volume (CSV) in patients with implanted cardiac pacemaker using parametric electrical impedance tomography (pEIT) in a 2D computerized model of the thorax. CSV is a direct indicator of the cardiac pumping efficiency. The commonly used methods for measuring CSV require the invasive procedure of right heart catheterization or use expensive imaging techniques (i.e., MRI). Hence, experience with these techniques for diagnosis and monitoring has been limited to hospitalized patients. In the present study, pEIT scheme was applied in a computerized 2D model of the human thorax with implanted cardiac device to determine the left ventricular (LV) volume at different cardiac cycle phases. The LV was simulated as a prolate ellipse with its axes' lengths as the reconstruction parameters while all other geometries and conductivity values remained constant. An optimization was carried out in order to ensure that the ellipse is the appropriate model for the LV at each cardiac cycle phase. LV volumes calculated by both the pEIT algorithm and the ellipsoid model are consistent. A high correlation (ρ=0.99) between the true and reconstructed volumes was found. The SV calculation error was ~1%. The results suggest that the LV volume can be estimated using the pEIT method in a 2D computerized model, and that the method has the potential to be used for monitoring patients with implanted cardiac pacemaker.

Original languageEnglish
Pages (from-to)630-640
Number of pages11
JournalInternational Journal for Numerical Methods in Biomedical Engineering
Volume29
Issue number5
DOIs
StatePublished - May 2013

Keywords

  • Electrical impedance tomography
  • Pacemaker
  • Parametric reconstruction
  • Simulation study
  • Stroke volume
  • Tissue electrical conductivity

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