Literature DB >> 16373582

Cardiac microimpedance measurement in two-dimensional models using multisite interstitial stimulation.

Andrew E Pollard1, Roger C Barr.   

Abstract

We analyzed central interstitial potential differences during multisite stimulation to assess the feasibility of using those recordings to measure cardiac microimpedances in multidimensional preparations. Because interstitial current injected and removed using electrodes with different proximities allows modulation of the portion of current crossing the membrane, we hypothesized that multisite interstitial stimulation would give rise to central interstitial potential differences that depend on intracellular and interstitial microimpedances, allowing measurement of those microimpedances. Simulations of multisite stimulation with fine and wide spacing in two-dimensional models that included dynamic membrane equations for guinea pig ventricular myocytes were performed to generate test data ( partial differentialphio). Isotropic interstitial and intracellular microimpedances were prescribed for one set of simulations, and anisotropic microimpedances with unequal ratios (intracellular to interstitial) along and across fibers were prescribed for another set of simulations. Microimpedance measurements were then obtained by making statistical comparisons between partial differentialphio values and interstitial potential differences from passive bidomain simulations (Deltaphio) in which a wide range of possible microimpedances were considered. Possible microimpedances were selected at 25% increments. After demonstrating the effectiveness of the overall method with microimpedance measurements using one-dimensional test data, we showed microimpedance measurements within 25% of prescribed values in isotropic and anisotropic models. Our findings suggest that development of microfabricated devices to implement the procedure would facilitate routine measurement as a component of cardiac electrophysiological study.

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Year:  2005        PMID: 16373582     DOI: 10.1152/ajpheart.01180.2005

Source DB:  PubMed          Journal:  Am J Physiol Heart Circ Physiol        ISSN: 0363-6135            Impact factor:   4.733


  4 in total

1.  A biophysical model for cardiac microimpedance measurements.

Authors:  Andrew E Pollard; Roger C Barr
Journal:  Am J Physiol Heart Circ Physiol       Date:  2010-04-02       Impact factor: 4.733

2.  Extracellular space attenuates the effect of gap junctional remodeling on wave propagation: a computational study.

Authors:  Candido Cabo; Penelope A Boyden
Journal:  Biophys J       Date:  2009-04-22       Impact factor: 4.033

3.  Sensor spacing affects the tissue impedance spectra of rabbit ventricular epicardium.

Authors:  Charlotte Mae K Waits; Roger C Barr; Andrew E Pollard
Journal:  Am J Physiol Heart Circ Physiol       Date:  2014-04-28       Impact factor: 4.733

Review 4.  Approaches for determining cardiac bidomain conductivity values: progress and challenges.

Authors:  Barbara M Johnston; Peter R Johnston
Journal:  Med Biol Eng Comput       Date:  2020-10-22       Impact factor: 2.602

  4 in total

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