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Barbara M Johnston

Showing results (1-10 of 18) with videos related to

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Mathematical Biosciences|April 30, 2013
Using a sensitivity study to facilitate the design of a multi-electrode array to measure six cardiac conductivity valuesBarbara M Johnston
IEEE Transactions on Bio-Medical Engineering|November 13, 2015
Six Conductivity Values to Use in the Bidomain Model of Cardiac TissueBarbara M Johnston
Computers in Biology and Medicine|February 21, 2018
Determining the most significant input parameters in models of subendocardial ischaemia and their effect on ST segment epicardial potential distributionsBarbara M Johnston, Peter R Johnston
Physics in Medicine and Biology|April 19, 2007
The relative effects of arterial curvature and lumen diameter on wall shear stress distributions in human right coronary arteriesBarbara M Johnston, Peter R Johnston
Mathematical Biosciences|October 25, 2019
Differences between models of partial thickness and subendocardial ischaemia in terms of sensitivity analyses of ST-segment epicardial potential distributionsBarbara M Johnston, Peter R Johnston
Medical & Biological Engineering & Computing|July 30, 2013
A multi-electrode array and inversion technique for retrieving six conductivities from heart potential measurementsBarbara M Johnston, Peter R Johnston
Medical & Biological Engineering & Computing|October 22, 2020
Approaches for determining cardiac bidomain conductivity values: progress and challengesBarbara M Johnston, Peter R Johnston
Mathematical Biosciences|June 7, 2015
Determining six cardiac conductivities from realistically large datasetsBarbara M Johnston, Peter R Johnston
Computers in Biology and Medicine|September 17, 2021
Which bidomain conductivity is the most important for modelling heart and torso surface potentials during ischaemia?Barbara M Johnston, Peter R Johnston
IEEE Transactions on Bio-Medical Engineering|March 16, 2007
Possible four-electrode configurations for measuring cardiac tissue fiber rotationBarbara M Johnston, Peter R Johnston
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Mathematical Biosciences|April 30, 2013
Using a sensitivity study to facilitate the design of a multi-electrode array to measure six cardiac conductivity valuesBarbara M Johnston
IEEE Transactions on Bio-Medical Engineering|November 13, 2015
Six Conductivity Values to Use in the Bidomain Model of Cardiac TissueBarbara M Johnston
Computers in Biology and Medicine|February 21, 2018
Determining the most significant input parameters in models of subendocardial ischaemia and their effect on ST segment epicardial potential distributionsBarbara M Johnston, Peter R Johnston
Physics in Medicine and Biology|April 19, 2007
The relative effects of arterial curvature and lumen diameter on wall shear stress distributions in human right coronary arteriesBarbara M Johnston, Peter R Johnston
Mathematical Biosciences|October 25, 2019
Differences between models of partial thickness and subendocardial ischaemia in terms of sensitivity analyses of ST-segment epicardial potential distributionsBarbara M Johnston, Peter R Johnston
Medical & Biological Engineering & Computing|July 30, 2013
A multi-electrode array and inversion technique for retrieving six conductivities from heart potential measurementsBarbara M Johnston, Peter R Johnston
Medical & Biological Engineering & Computing|October 22, 2020
Approaches for determining cardiac bidomain conductivity values: progress and challengesBarbara M Johnston, Peter R Johnston
Mathematical Biosciences|June 7, 2015
Determining six cardiac conductivities from realistically large datasetsBarbara M Johnston, Peter R Johnston
Computers in Biology and Medicine|September 17, 2021
Which bidomain conductivity is the most important for modelling heart and torso surface potentials during ischaemia?Barbara M Johnston, Peter R Johnston
IEEE Transactions on Bio-Medical Engineering|March 16, 2007
Possible four-electrode configurations for measuring cardiac tissue fiber rotationBarbara M Johnston, Peter R Johnston
Pageof 2