Barbara M. Johnston

21 papers Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2022 — conf
Utilising Surrogate Models to Approximate Cardiac Potentials when Solving Inverse Problems via Bayesian Techniques.
CinC
Abbish Kamalakkannan, Peter R. Johnston, Barbara M. Johnston
2021 J jnl
A modified approach to determine the six cardiac bidomain conductivities.
Comput. Biol. Medicine
Abbish Kamalakkannan, Peter R. Johnston, Barbara M. Johnston
2021 J jnl
Which bidomain conductivity is the most important for modelling heart and torso surface potentials during ischaemia?
Comput. Biol. Medicine
Barbara M. Johnston, Peter R. Johnston
2020 J jnl
Approaches for determining cardiac bidomain conductivity values: progress and challenges.
Medical Biol. Eng. Comput.
Barbara M. Johnston, Peter R. Johnston
2019 — conf
A Comparison of Methods for Examining the Effect of Uncertainty in the Conductivities in a Model of Partial Thickness Ischaemia.
CinC
Barbara M. Johnston, Akil Narayan, Peter R. Johnston
2018 J jnl
Determining the most significant input parameters in models of subendocardial ischaemia and their effect on ST segment epicardial potential distributions.
Comput. Biol. Medicine
Barbara M. Johnston, Peter R. Johnston
2018 J jnl
Quantifying the effect of uncertainty in input parameters in a simplified bidomain model of partial thickness ischaemia.
Medical Biol. Eng. Comput.
Barbara M. Johnston, Sam Coveney, Eugene T. Y. Chang, Peter R. Johnston, Richard H. Clayton
2018 J jnl
Sensitivity analysis of ST-segment epicardial potentials arising from changes in ischaemic region conductivities in early and late stage ischaemia.
Comput. Biol. Medicine
Barbara M. Johnston, Peter R. Johnston
2017 — conf
Using Generalised Polynomial Chaos to Examine Various Parameters in a Half-ellipsoidal Ventricular Model of Partial Thickness Ischaemia.
CinC
Barbara M. Johnston, Peter R. Johnston
2016 J jnl
Six Conductivity Values to Use in the Bidomain Model of Cardiac Tissue.
IEEE Trans. Biomed. Eng.
Barbara M. Johnston
2016 — conf
The Effect of Conductivity Values on Activation Times and Defibrillation Thresholds.
CinC
Barbara M. Johnston, Josef P. Barnes, Peter R. Johnston
2016 J jnl
The method of steepest descent for estimating quadrature errors.
J. Comput. Appl. Math.
David Elliott, Barbara M. Johnston, Peter R. Johnston
2015 J jnl
A complete error analysis for the evaluation of a two-dimensional nearly singular boundary element integral.
J. Comput. Appl. Math.
David Elliott, Barbara M. Johnston, Peter R. Johnston
2014 — conf
How Accurately can Cardiac Conductivity Values be Determined from Heart Potential Measurements?
CinC
Barbara M. Johnston, Peter R. Johnston
2013 J jnl
A multi-electrode array and inversion technique for retrieving six conductivities from heart potential measurements.
Medical Biol. Eng. Comput.
Barbara M. Johnston, Peter R. Johnston
2013 J jnl
A new method for the numerical evaluation of nearly singular integrals on triangular elements in the 3D boundary element method.
J. Comput. Appl. Math.
Barbara M. Johnston, Peter R. Johnston, David Elliott
2013 J jnl
Time Reversibility, Correlation Decay and the Steady State Fluctuation Relation for Dissipation.
Entropy
Debra J. Searles, Barbara M. Johnston, Denis J. Evans, Lamberto Rondoni
2011 J jnl
Estimates of the error in Gauss-Legendre quadrature for double integrals.
J. Comput. Appl. Math.
David Elliott, Peter R. Johnston, Barbara M. Johnston
2008 J jnl
Clenshaw--Curtis and Gauss--Legendre Quadrature for Certain Boundary Element Integrals.
SIAM J. Sci. Comput.
David Elliott, Barbara M. Johnston, Peter R. Johnston
2007 J jnl
Possible Four-Electrode Configurations for Measuring Cardiac Tissue Fiber Rotation.
IEEE Trans. Biomed. Eng.
Barbara M. Johnston, Peter R. Johnston
2004 J jnl
A modified non-linear transformation method for evaluating weakly singular boundary integrals.
Appl. Math. Comput.
Barbara M. Johnston, Peter R. Johnston