Improved estimation of left ventricular volume from electric field modeling

Author:

Korn Leonie1,Dahlmanns Stephan1,Leonhardt Steffen1,Walter Marian1

Affiliation:

1. Medical Information Technology, RWTH Aachen University , Aachen , Germany

Abstract

Abstract Volume measurement is beneficial in left ventricular assist device (LVAD) therapy to quantify patient demand. In principle, an LVAD could provide a platform that allows bioimpedance measurements inside the ventricle without requiring additional implants. Conductance measured by the LVAD can then be used to estimate the ventricular radius, which can be applied to calculate ventricular volume. However, established methods that estimate radius from conductance require elaborate individual calibration or show low accuracy. This study presents two analytical calculation methods to estimate left ventricular radius from conductance using electric field theory. These methods build on the established method of Wei, now considering the dielectric properties of muscle and background tissue, the refraction of the electric field at the blood-muscle boundary, and the changes of the electric field caused by the measurements. The methods are validated in five glass containers of different radius. Additional bioimpedance measurements are performed in in-vitro models that replicate the left ventricle’s shape and conductive properties. The proposed analytical calculation methods estimate the radii of the containers and the in-vitro models with higher accuracy and precision than Wei’s method. The lead method performs excellently in glass cylinders over a wide range of radii (bias: 1.66%–2.48%, limits of agreement < 16.33%) without calibration to specific geometries.

Publisher

Walter de Gruyter GmbH

Subject

Biomedical Engineering,Biophysics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Measurement of left ventricular volume with admittance incorporated onto percutaneous ventricular assist device;Medical & Biological Engineering & Computing;2024-07-15

2. Cardiac-Related Signal Extraction in Thoracic Impedance Measurement;2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT);2024-05-13

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