A biophysical model for cardiac microimpedance measurements

Author:

Pollard Andrew E.1,Barr Roger C.2

Affiliation:

1. Department of Biomedical Engineering, Cardiac Rhythm Management Laboratory, University of Alabama at Birmingham, Birmingham, Alabama; and

2. Department of Biomedical Engineering, Duke University, Durham, North Carolina

Abstract

Alterations to cell-to-cell electrical conductance and to the structural arrangement of the collagen network in cardiac tissue are recognized contributors to arrhythmia development, yet no present method allows direct in vivo measurements of these conductances at their true microscopic scale. The present report documents such a plan, which involves interstitial multisite stimulation at a subcellular to cellular size scale, and verifies the performance of the method through biophysical modeling. Although elements of the plan have been analyzed previously, their performance as a whole is considered here in a comprehensive way. Our analyses take advantage of a three-dimensional structural framework in which interstitial, intracellular, and membrane components are coupled to one another on the fine size scale, and electrodes are separated from one another as in arrays we fabricate routinely. With this arrangement, determination of passive tissue resistances can be made from measurements taken on top of the currents flowing in active tissue. In particular, our results show that measurements taken at multiple frequencies and electrode separations provide powerful predictions of the underlying tissue resistances in all geometric dimensions. Because of the small electrode size, separation of interstitial from intracellular compartment contributions is readily achieved.

Publisher

American Physiological Society

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine,Physiology

Cited by 8 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. Métodos estadísticos en la clasificación y riesgos para la hipertensión arterial;TECHNO REVIEW. International Technology, Science and Society Review /Revista Internacional de Tecnología, Ciencia y Sociedad;2022-12-28

2. Approaches for determining cardiac bidomain conductivity values: progress and challenges;Medical & Biological Engineering & Computing;2020-10-22

3. Determining six cardiac conductivities from realistically large datasets;Mathematical Biosciences;2015-08

4. Sensor spacing affects the tissue impedance spectra of rabbit ventricular epicardium;American Journal of Physiology-Heart and Circulatory Physiology;2014-06-15

5. A Brief History of Tissue Models For Cardiac Electrophysiology;IEEE Transactions on Biomedical Engineering;2014-05

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