Literature DB >> 23892890

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

Barbara M Johnston1, Peter R Johnston.   

Abstract

A method for accurately finding cardiac bidomain conductivity parameters is a crucial part of efforts to study and understand the electrical functioning of the heart. The bidomain model considers current flowing along (longitudinal) and across (transverse) sheets of cardiac fibres, as well as between these sheets (normal), in both the extracellular and intracellular domains, which leads to six conductivity values. To match experimental studies, such a method must be able to determine these six conductivity values, not just the four where it is assumed that the transverse and normal conductivities are equal. This study presents a mathematical model, solution technique, multi-electrode array and two-pass inversion method, which can be used to retrieve all six conductivities from measurements of electrical potential made on the array. Simulated measurements of potential, to which noise is added, are used to demonstrate the ability of the method to retrieve the conductivity values. It is found that not only is it possible to accurately retrieve all six conductivity values, as well as a value for fibre rotation angle, but that the accuracy of such retrievals is comparable to the accuracy found in a previous study when only four conductivities (and fibre rotation) were retrieved.

Mesh:

Year:  2013        PMID: 23892890     DOI: 10.1007/s11517-013-1101-2

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  28 in total

1.  Estimation of the bidomain conductivity parameters of cardiac tissue from extracellular potential distributions initiated by point stimulation.

Authors:  Leon S Graham; David Kilpatrick
Journal:  Ann Biomed Eng       Date:  2010-07-14       Impact factor: 3.934

2.  Analysis of electrode configurations for measuring cardiac tissue conductivities and fibre rotation.

Authors:  Barbara M Johnston; Peter R Johnston; David Kilpatrick
Journal:  Ann Biomed Eng       Date:  2006-05-05       Impact factor: 3.934

3.  A new approach to the determination of cardiac potential distributions: application to the analysis of electrode configurations.

Authors:  Barbara M Johnston; Peter R Johnston; David Kilpatrick
Journal:  Math Biosci       Date:  2006-04-25       Impact factor: 2.144

4.  Construction and validation of a plunge electrode array for three-dimensional determination of conductivity in the heart.

Authors:  Darren A Hooks; Mark L Trew
Journal:  IEEE Trans Biomed Eng       Date:  2008-02       Impact factor: 4.538

5.  Estimating electrical conductivity tensors of biological tissues using microelectrode arrays.

Authors:  Elad Gilboa; Patricio S La Rosa; Arye Nehorai
Journal:  Ann Biomed Eng       Date:  2012-05-12       Impact factor: 3.934

6.  The importance of anisotropy in modeling ST segment shift in subendocardial ischaemia.

Authors:  P R Johnston; D Kilpatrick; C Y Li
Journal:  IEEE Trans Biomed Eng       Date:  2001-12       Impact factor: 4.538

7.  Three distinct directions of intramural activation reveal nonuniform side-to-side electrical coupling of ventricular myocytes.

Authors:  Bryan J Caldwell; Mark L Trew; Gregory B Sands; Darren A Hooks; Ian J LeGrice; Bruce H Smaill
Journal:  Circ Arrhythm Electrophysiol       Date:  2009-06-18

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

Authors:  B J Roth
Journal:  IEEE Trans Biomed Eng       Date:  1997-04       Impact factor: 4.538

9.  Spread of excitation in a myocardial volume: simulation studies in a model of anisotropic ventricular muscle activated by point stimulation.

Authors:  P C Franzone; L Guerri; B Taccardi
Journal:  J Cardiovasc Electrophysiol       Date:  1993-04

10.  Effect of tissue anisotropy on extracellular potential fields in canine myocardium in situ.

Authors:  D E Roberts; A M Scher
Journal:  Circ Res       Date:  1982-03       Impact factor: 17.367

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  1 in total

Review 1.  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

  1 in total

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