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Construction and Implementation of Carbon Fiber Microelectrode Arrays for Chronic and Acute In Vivo Recordings
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FEM-based volume estimation using electrode catheter measurements.

Daniel Voss1, Jöran Rixen1, Steffen Leonhardt1

  • 1Chair for Medical Information Technology, RWTH Aachen University, Aachen, Germany.

Journal of Electrical Bioimpedance
|June 29, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a finite-element-method-based algorithm for accurate left ventricular volume (LVV) estimation using catheter-based admittance measurements. Optimized electrode configurations enable robust LVV assessment with minimal error, improving cardiovascular disease monitoring.

Keywords:
admittancebioimpedancefinite element methodintracardiac catheterleft ventricular volume

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Area of Science:

  • Biomedical Engineering
  • Medical Physics
  • Computational Mechanics

Background:

  • Cardiovascular diseases are a leading global cause of mortality.
  • Accurate left ventricular volume (LVV) assessment is vital for patient diagnosis and management.
  • Current LVV estimation methods have limitations in resources, operator dependency, and precision.

Purpose of the Study:

  • To investigate the feasibility of a finite-element-method-based (FEM) algorithm for estimating LVV.
  • To develop a novel LVV estimation method using catheter-based admittance measurements.
  • To establish a basis for improved continuous monitoring of cardiac function.

Main Methods:

  • Developed a ventricle FEM model for volume estimation.
  • Employed sensitivity-guided selection of informative 4-electrode configurations.
  • Utilized a constrained Gauss-Newton estimation algorithm for parameter calculation.
  • Evaluated the algorithm using numerical simulations and a dynamic 3D-printed ventricle phantom.

Main Results:

  • FEM-based algorithm achieved volume reconstructions comparable to full measurement sets.
  • Demonstrated robust volume estimation with approximately 3-4% error in phantom experiments.
  • Showed that a reduced set of optimized electrode configurations provides sufficient information for accurate LVV estimation.

Conclusions:

  • The FEM-based parameter estimation approach is feasible for LVV assessment.
  • Optimized electrode configurations enable robust and precise volume estimation.
  • The study provides a methodological foundation for future research with realistic anatomical models and in vivo experiments.