www.comlab.ox.ac.uk/people/publications/title/Blanca.Rodriguez.html

Blanca Rodriguez : Publications

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[1]

An investigation into the role of the optical detection set-up in the recording of cardiac optical mapping signals: a Monte Carlo simulation study.

Bishop MJ, Bub G, Garny A, Gavaghan D and Rodriguez B

Physica D. 2009.

[2]

Arrhythmic risk biomarkers for the assessment of drug cardiotoxicity: from experiments to computer simulations.

Corrias A et al.

2010.

[3]

Arrhythmogenesis in the heart: Multiscale modeling of the effects of defibrillation shocks and the role of electrophysiological heterogeneity.

Arevalo et al.

Chaos. Vol. 17. No. 1. Pages 015103. 2007.

[4]

Cardiac vulnerability to electric shocks during phase 1A of acute global ischemia.

Rodríguez et al.

Heart Rhythm. Vol. 1. No. 6. Pages 695-703. 2004.

[5]

Chaste: A test-driven approach to software development for biological modelling

J Pitt-Francis et al.

Computer Physics Communications. Vol. 180. No. 12. Pages 2452-2471. December, 2009.

[6]

Chaste: Incorporating a Novel Multiscale Spatial and Temporal Algorithm into a Large Scale Open Source Library

Bernabeu MO et al.

Phil Trans Roy Soc (A). Vol. 367. No. 1895. Pages 1907-1930. May, 2009.

[7]

Chaste: Using Agile Programming Techniques to Develop Computational Biology Software

Joe Pitt-Francis et al.

Philosophical Transactions of the Royal Society A. Vol. 366. No. 1878. Pages 3111-3136. 2008.

[8]

Chaste: a test-driven approach to software development for biological modelling

Pitt-Francis J et al.

Computer Physics Communications. 2009.

[9]

Differences between left and right ventricular anatomy determine the types of reentrant circuits induced by an external electric shock. A rabbit heart simulation study.

Rodríguez et al.

Prog Biophys Mol Biol. Vol. 90. No. 1-3. Pages 399-413. 2006.

[10]

Differences between left and right ventricular chamber geometry affect cardiac vulnerability to electric shocks.

Rodríguez et al.

Circ Res. Vol. 97. No. 2. Pages 168-75. 2005.

[11]

Effect of acute global ischemia on the upper limit of vulnerability: a simulation study.

Rodríguez et al.

Am J Physiol Heart Circ Physiol. Vol. 286. No. 6. Pages H2078-88. 2004.

[12]

Effects of pinacidil on reentrant arrhythmias generated during acute regional ischemia: a simulation study.

Trénor et al.

Ann Biomed Eng. Vol. 33. No. 7. Pages 897-906. 2005.

[13]

Generation of histo-anatomically representative models of the individual heart: tools and application.

Plank G et al.

Phil Trans Roy Soc. 2009.

[14]

High Performance Computer Simulations of Cardiac Electrical Function based on MRI datasets

Michal Plotkowiak et al.

2008.

[15]

Impact of ionic current variability on human ventricular cellular electrophysiology

Romero L, Pueyo E, Fink M and Rodriguez B

American Journal of Physiology. 2009.

[16]

Inference of intramural wavefront orientation from optical recordings in realistic whole-heart models.

Bishop et al.

Biophys J. Vol. 91. No. 10. Pages 3957-8. 2006.

[17]

Mechanisms of ventricular rate adaptation as a predictor of arrhythmic risk.

Pueyo E et al.

2010.

[18]

Mechanistic enquiry into the effect of increased pacing rate on the upper limit of vulnerability.

Bourn et al.

Philos Transact A Math Phys Eng Sci. Vol. 364. No. 1843. Pages 1333-48. 2006.

[19]

Mechanistic investigation into the arrhythmogenic role of transmural heterogeneities in regional ischaemia phase 1A.

Tice et al.

Europace. Vol. 9 Suppl 6. Pages vi46-vi58. 2007.

[20]

Mechanistic investigation of extracellular K+ accumulation during acute myocardial ischemia: a simulation study.

Rodriguez et al.

Am J Physiol Heart Circ Physiol. Vol. 283. No. 2. Pages H490-500. 2002.

[21]

Modeling cardiac ischemia.

Rodríguez et al.

Ann N Y Acad Sci. Vol. 1080. Pages 395-414. 2006.

[22]

Multiscale modelling of drug-induced effects on cardiac electrophysiological activity

Brennan T, Fink M and Rodriguez B

European Journal of Pharmaceutical Sciences. 2009.

[23]

Photon scattering effects in optical mapping of propagation and arrhythmogenesis in the heart.

Bishop et al.

J Electrocardiol. Vol. 40. No. 6 Suppl. Pages S75-80. 2007.

[24]

Reentry in Survived Subepicardium Coupled to Depolarized and Inexcitable Midmyocardium: Insights into Arrhythmogenesis in Ischemia Phase 1B

Jie X, Rodriguez B, de Groot J, Coronel R and Trayanova N

Heart Rhythm. 2008.

[25]

Synthesis of voltage-sensitive optical signals: application to panoramic optical mapping.

Bishop et al.

Biophys J. Vol. 90. No. 8. Pages 2938-45. 2006.

[26]

The Role of Photon Scattering in Optical Signal Distortion during Arrhythmia and Defibrillation.

Bishop et al.

Biophys J. Vol. 93. No. 10. Pages 3714-26. 2007.

[27]

The role of transmural ventricular heterogeneities in cardiac vulnerability to electric shocks.

Maharaj et al.

Prog Biophys Mol Biol. 2007.

[28]

Upper limit of vulnerability in a defibrillation model of the rabbit ventricles.

Rodríguez, B, Trayanova and N

J Electrocardiol. Vol. 36 Suppl. Pages 51-6. 2003.

[29]

What have we learned from mathematical models of defibrillation and postshock arrhythmogenesis? Application of bidomain simulations.

Trayanova et al.

Heart Rhythm. Vol. 3. No. 10. Pages 1232-5. 2006.