Literature DB >> 9125816

Electrical conductivity values used with the bidomain model of cardiac tissue.

B J Roth1.   

Abstract

Electrical conductivities in the bidomain model of cardiac tissue are expressed as functions of four parameters. These expressions allow simulations to be performed using nominal, equal, and reciprocal anisotropy without introducing undesired effects, such as length constant variations. Relative values of the bidomain conductivities are estimated to be: sigma iL = 1, sigma iT = 0.1, sigma eL = 1, and sigma eT = 0.4.

Mesh:

Year:  1997        PMID: 9125816     DOI: 10.1109/10.563303

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  47 in total

1.  Mechanism for polarisation of cardiac tissue at a sealed boundary.

Authors:  B J Roth
Journal:  Med Biol Eng Comput       Date:  1999-07       Impact factor: 2.602

2.  Examination of optical depth effects on fluorescence imaging of cardiac propagation.

Authors:  Mark-Anthony Bray; John P Wikswo
Journal:  Biophys J       Date:  2003-12       Impact factor: 4.033

Review 3.  Modeling defibrillation of the heart: approaches and insights.

Authors:  Natalia Trayanova; Jason Constantino; Takashi Ashihara; Gernot Plank
Journal:  IEEE Rev Biomed Eng       Date:  2011

4.  Mechanisms of conduction slowing during myocardial stretch by ventricular volume loading in the rabbit.

Authors:  Robert W Mills; Sanjiv M Narayan; Andrew D McCulloch
Journal:  Am J Physiol Heart Circ Physiol       Date:  2008-07-25       Impact factor: 4.733

5.  A multi-electrode array and inversion technique for retrieving six conductivities from heart potential measurements.

Authors:  Barbara M Johnston; Peter R Johnston
Journal:  Med Biol Eng Comput       Date:  2013-07-28       Impact factor: 2.602

6.  Calculation of optical signal using three-dimensional bidomain/diffusion model reveals distortion of the transmembrane potential.

Authors:  Phillip Prior; Bradley J Roth
Journal:  Biophys J       Date:  2008-05-16       Impact factor: 4.033

7.  Intracellular calcium and the mechanism of the dip in the anodal strength-interval curve in cardiac tissue.

Authors:  Sunil M Kandel; Bradley J Roth
Journal:  Circ J       Date:  2014-02-28       Impact factor: 2.993

8.  A Simplified Approach for Simultaneous Measurements of Wavefront Velocity and Curvature in the Heart Using Activation Times.

Authors:  Nachaat Mazeh; David E Haines; Matthew W Kay; Bradley J Roth
Journal:  Cardiovasc Eng Technol       Date:  2013-12-01       Impact factor: 2.495

9.  Automatically generated, anatomically accurate meshes for cardiac electrophysiology problems.

Authors:  Anton J Prassl; Ferdinand Kickinger; Helmut Ahammer; Vicente Grau; Jürgen E Schneider; Ernst Hofer; Edward J Vigmond; Natalia A Trayanova; Gernot Plank
Journal:  IEEE Trans Biomed Eng       Date:  2009-02-06       Impact factor: 4.538

10.  Image-based models of cardiac structure with applications in arrhythmia and defibrillation studies.

Authors:  Fijoy Vadakkumpadan; Lukas J Rantner; Brock Tice; Patrick Boyle; Anton J Prassl; Edward Vigmond; Gernot Plank; Natalia Trayanova
Journal:  J Electrocardiol       Date:  2009-01-31       Impact factor: 1.438

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