P. Johnston

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Analysis of Electrode Configurations for Measuring Cardiac Tissue Conductivities and Fibre Rotation

Barbara M. Johnston, P. Johnston, D. Kilpatrick, 2006, Annals of Biomedical Engineering.

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

Barbara M. Johnston, P. Johnston, D. Kilpatrick, 2006, Mathematical biosciences.

A new method for regularization parameter determination in the inverse problem of electrocardiography

R. Gulrajani, P. Johnston, 1997, IEEE Transactions on Biomedical Engineering.

Second order overhauser elements for boundary element analysis

P. Johnston, 1996 .

A cylindrical model for studying subendocardial ischaemia in the left ventricle.

P. Johnston, 2003, Mathematical biosciences.

Determining six cardiac conductivities from realistically large datasets.

Barbara M. Johnston, P. Johnston, B. Johnston, 2015, Mathematical biosciences.

A nondimensional formulation of the passive bidomain equation.

P. Johnston, 2011, Journal of electrocardiology.

A solution method for the determination of cardiac potential distributions with an alternating current source

Barbara M. Johnston, P. Johnston, D. Kilpatrick, 2008, Computer methods in biomechanics and biomedical engineering.

Approximate solutions for certain bidomain problems in electrocardiography.

P. Johnston, 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

The effect of simplifying assumptions in the bidomain model of cardiac tissue: application to ST segment shifts during partial ischaemia.

P. Johnston, 2005, Mathematical biosciences.

The Laplacian inverse problem of electrocardiography: an eccentric spheres study

P. Johnston, 1997, IEEE Transactions on Biomedical Engineering.

Non-Newtonian blood flow in human right coronary arteries: steady state simulations.

Barbara M. Johnston, P. Johnston, D. Kilpatrick, 2004, Journal of biomechanics.

Non-Newtonian blood flow in human right coronary arteries: transient simulations.

Barbara M. Johnston, P. Johnston, D. Kilpatrick, 2006, Journal of biomechanics.

Origin of the electrocardiogram

P. Johnston, D. Kilpatrick, P. R. Johnston, 1994, IEEE Engineering in Medicine and Biology Magazine.

Mechanisms of ST change in partial thickness ischemia.

David Kilpatrick, Peter R Johnston, D. Li, 2003, Journal of electrocardiology.

The inverse problem of electrocardiology: the performance of inversion techniques as a function of patient anatomy.

D Kilpatrick, P. Johnston, D. Kilpatrick, 1995, Mathematical biosciences.

The potential for Laplacian maps to solve the inverse problem of electrocardiography

P. Johnston, P.R. Johnston, 1996, IEEE Transactions on Biomedical Engineering.

Inverse electrocardiographic transformations: dependence on the number of epicardial regions and body surface data points.

S J Walker, D Kilpatrick, P. Johnston, 1994, Mathematical biosciences.

A sinh transformation for evaluating two‐dimensional nearly singular boundary element integrals

Barbara M. Johnston, David Elliott, Peter Rex Johnston, 2007 .

A sinh transformation for evaluating nearly singular boundary element integrals

David Elliott, Peter Rex Johnston, D. Elliott, 2005 .

Presences of the Infinite: J.M. Coetzee and Mathematics

P. Johnston, 2013 .

A Comparison of Methods for Examining the Effect of Uncertainty in the Conductivities in a Model of Partial Thickness Ischaemia

Barbara M. Johnston, P. Johnston, A. Narayan, 2019, 2019 Computing in Cardiology Conference (CinC).

The effects of tapering and artery wall stiffness on treatments for Coarctation of the Aorta

Barbara M. Johnston, P. Johnston, Dilan Pathirana, 2017, Computer methods in biomechanics and biomedical engineering.

Differences between models of partial thickness and subendocardial ischaemia in terms of sensitivity analyses of ST-segment epicardial potential distributions.

Barbara M. Johnston, P. Johnston, B. Johnston, 2019, Mathematical biosciences.

The effect of boundary conditions on epicardial potential distributions

P. Johnston, J. P. Barnes, 2017, Computer methods in biomechanics and biomedical engineering.

The Sensitivity of the Passive Bidomain Equation to Variations in Six Conductivity Values

Barbara M. Johnston, P. Johnston, B. Johnston, 2013, BioMed 2013.

A model of anatomically opposed ischaemia

P. Johnston, 2012, 2012 Computing in Cardiology.

A sensitivity study of conductivity values in the passive bidomain equation.

Peter R Johnston, P. Johnston, 2011, Mathematical biosciences.

The effect of the subcutaneous fat layer on the measurement of the surface Laplacian

P. Johnston, D. Kilpatrick, 1998, Proceedings of the 2nd International Conference on Bioelectromagnetism (Cat. No.98TH8269).

Efficient boundary element method solution of potential problems that are large, linear and involve optimization of boundary geometry

P. Johnston, D. Kilpatrick, T. Gale, 2002 .

Using the stochastic Galerkin method as a predictive tool during an epidemic

P. Johnston, D. Harman, 2019, ANZIAM Journal.

Applying the stochastic Galerkin method to epidemic models with uncertainty in the parameters.

P. Johnston, D. Harman, 2016, Mathematical biosciences.

Undergraduate biochemistry student difficulties with topics requiring mathematical skills: use of an online maths skills support site

Dianne J. Watters, P. Johnston, W. A. Loughlin, 2020, Journal of Biological Education.

for Boundary Element Analysis

P. Johnston, Hobart Tasmania, 1996 .

Supporting the M in STEM Using Online Maths Support Modules

Dianne J. Watters, P. Johnston, W. A. Loughlin, 2019, Blended Learning Designs in STEM Higher Education.

Modelling blood flow in ectatic human right coronary arteries

Barbara M. Johnston, P. Johnston, D. Kilpatrick, 2004 .

C2‐CONTINUOUS ELEMENTS FOR BOUNDARY ELEMENT ANALYSIS

P. Johnston, 1997 .

Predicting blood pressure in aortas treated for coarctation

Barbara M. Johnston, P. Johnston, Dilan Pathirana, 2016 .

An investigation into student perceptions towards mathematics and their performance in first year chemistry: introduction of online maths skills support

Dianne J. Watters, P. Johnston, W. A. Loughlin, 2016 .

A solution method for solving coupled nonlinear boundary-value problems

D. Do, P. Johnston, 1986 .

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

Barbara M. Johnston, P. Johnston, B. Johnston, 2013, Medical & Biological Engineering & Computing.

Quantifying the effect of uncertainty in input parameters in a simplified bidomain model of partial thickness ischaemia

Barbara M. Johnston, S. Coveney, R. Clayton, 2017, Medical & Biological Engineering & Computing.

Diffusion in composite media: Solution with simple eigenvalues and eigenfunctions

P. Johnston, 1991 .

An In-Principle Method for Measuring Cardiac Tissue Fibre Rotation

Barbara M. Johnston, Peter Rex Johnston, Barbara Mary Johnston, 2005 .

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

Peter R. Johnston, David Kilpatrick, Chuan Yong Li, 2001, IEEE Transactions on Biomedical Engineering.

Approaches for determining cardiac bidomain conductivity values: progress and challenges

Barbara M. Johnston, Barbara M Johnston, Peter R Johnston, 2020, Medical & Biological Engineering & Computing.

Accuracy of electrocardiographic imaging using the method of fundamental solutions

Peter R. Johnston, P. Johnston, 2018, Comput. Biol. Medicine.

Application of robust Generalised Cross-Validation to the inverse problem of electrocardiology

Peter R Johnston, Josef P Barnes, P. Johnston, 2016, Comput. Biol. Medicine.

An Analysis of the Zero-Crossing Method for Choosing Regularization Parameters

Peter R. Johnston, Ramesh M. Gulrajani, R. Gulrajani, 2002, SIAM J. Sci. Comput..

e Potential for Laplacian Maps to S Inverse Problem of Electrocardiography

P. Johnston, 1996 .

Solving the inverse problem of electrocardiology

P. Johnston, 1995 .

Computational Inverse Problems in Electrocardiography

Peter Rex Johnston, P. Johnston, 2001 .

Possible Four-Electrode Configurations for Measuring Cardiac Tissue Fiber Rotation

Barbara M. Johnston, Peter R. Johnston, P. Johnston, 2007, IEEE Transactions on Biomedical Engineering.

A NEW METHOD FOR SOLVING A LARGE CLASS OF HEAT AND MASS TRANSFER PROBLEMS

D. Do, P. Johnston, 1987 .

The iterated sinh transformation

David Elliott, Peter Rex Johnston, D. Elliott, 2008 .

Mathematical Model of Oscillatory Calcium Signals

P. Johnston, B. Hackett, 2015 .

Epicardial ST depression in acute myocardial infarction.

D Kilpatrick, D. Li, P. Johnston, 1999, Circulation research.

A solution method for the Graetz problem for non-Newtonian fluids with Dirichlet and Neumann boundary conditions

P. Johnston, 1994 .

Higher degrees and honours bachelor degrees in mathematics and statistics completed in Australia in 2003

Peter Rex Johnston, P. Johnston, 2013 .

A mathematical model for atherosclerotic plaque formation and arterial wall remodelling

P. Johnston, Md Hamidul Islam, 2016 .

How long is my toilet roll? – a simple exercise in mathematical modelling

P. Johnston, 2013 .

A numerical simulation of unsteady blood flow through multi-irregular arterial stenoses

Prashanta Kumar Mandal, Peter Rex Johnston, Norzieha Mustapha, 2010 .

Supporting Transition for Mathematics and Science Students under an Assumed Knowledge Approach

Dianne J. Watters, P. Johnston, Christopher L. Brown, 2019, Theory and Practice: An Interface or A Great Divide?.

Non-Newtonian blood o w in human right coronary arteries: Steady state simulations y

P. Johnston, D. Kilpatrick, S. Corney, 2003 .

How accurately can the method of fundamental solutions solve the inverse problem of electrocardiology?

Peter R. Johnston, P. Johnston, 2017, 2017 Computing in Cardiology (CinC).

A finite volume method solution for the bidomain equations and their application to modelling cardiac ischaemia

Peter R Johnston, P. Johnston, 2010, Computer methods in biomechanics and biomedical engineering.

Evaluation of the two-fiber laser Doppler anemometer for in vivo blood flow measurements: experimental and flow simulation results

S. Tjin, P. Johnston, D. Kilpatrick, 1995 .

Selecting the corner in the L-curve approach to Tikhonov regularization

Peter R. Johnston, Ramesh M. Gulrajani, R. Gulrajani, 2000, IEEE Transactions on Biomedical Engineering.

The relative effects of arterial curvature and lumen diameter on wall shear stress distributions in human right coronary arteries

Barbara M Johnston, Peter R Johnston, P. Johnston, 2007, Physics in medicine and biology.

Transformations for evaluating singular boundary element integrals

David Elliott, Peter Rex Johnston, D. Elliott, 2002 .

Which bidomain conductivity is the most important for modelling heart and torso surface potentials during ischaemia?

Barbara M. Johnston, Peter R. Johnston, P. Johnston, 2021, Comput. Biol. Medicine.

A modified approach to determine the six cardiac bidomain conductivities

Barbara M. Johnston, Peter R. Johnston, Abbish Kamalakkannan, 2021, Comput. Biol. Medicine.

The effect of conductivity values on activation times and defibrillation thresholds

Barbara M. Johnston, Peter R. Johnston, Josef P. Barnes, 2016, 2016 Computing in Cardiology Conference (CinC).

How accurately can cardiac conductivity values be determined from heart potential measurements?

Barbara M. Johnston, Peter R. Johnston, P. Johnston, 2014, Computing in Cardiology 2014.

Defibrillation thresholds: A generalised polynomial chaos study

Peter R. Johnston, P. Johnston, 2014, Computing in Cardiology 2014.

A sensitivity study of conductivity values in the passive bidomain equation.

P. Johnston, 2011, Mathematical biosciences.

Cardiac conductivity values — A challenge for experimentalists?

Peter R. Johnston, P. Johnston, 2011, 2011 8th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the 2011 8th International Conference on Bioelectromagnetism.

A solution method for the determination of cardiac potential distributions with an alternating current source

P. Johnston, D. Kilpatrick, B. Johnston, 2008, Computer methods in biomechanics and biomedical engineering.

The effect of conductivity values on ST segment shift in subendocardial ischaemia

Peter R. Johnston, David Kilpatrick, P. Johnston, 2003, IEEE Transactions on Biomedical Engineering.

Theoretical Analysis of Electrodes for Measuring Fibre Rotation in Cardiac Tissue

Peter Rex Johnston, Barbara Mary Johnston, P. Johnston, 2005 .

An asymptotic estimate for the effective radius of a concentric bipolar electrode.

D Kilpatrick, P. Johnston, D. Kilpatrick, 1999, Mathematical biosciences.

Simulations of pulsatile blood flow in tapered S-shaped in-plane and out-of-plane coronary arteries

P. Johnston, B. Johnston, 2009 .

Construction of realistic branched, three-dimensional arteries suitable for computational modelling of flow

S. Corney, P. R. Johnston, D. Kilpatrick, 2004, Medical and Biological Engineering and Computing.

Utilising Surrogate Models to Approximate Cardiac Potentials when Solving Inverse Problems via Bayesian Techniques

P. Johnston, B. Johnston, Abbish Kamalakkannan, 2022, 2022 Computing in Cardiology (CinC).

Mathematical modelling of flow through an irregular arterial stenosis.

D Kilpatrick, P. Johnston, D. Kilpatrick, 1991, Journal of biomechanics.

Application of sigmoidal transformations to weakly singular and near-singular boundary element integrals

Peter Rex Johnston, P. Johnston, 1999 .

Flow of non-Newtonian fluids in open channels

P. Johnston, S. McCue, A. Fitt, 2018 .

Using the iterated sinh transformation to evaluate two dimensional nearly singular boundary element integrals

David Elliott, Peter Rex Johnston, Barbara Mary Johnston, 2013 .