Richard H Clayton
Richard H Clayton
Insigneo institute for in-silico medicine, University of Sheffield
Verified email at sheffield.ac.uk
Title
Cited by
Cited by
Year
Models of cardiac tissue electrophysiology: progress, challenges and open questions
RH Clayton, O Bernus, EM Cherry, H Dierckx, FH Fenton, L Mirabella, ...
Progress in biophysics and molecular biology 104 (1-3), 22-48, 2011
5402011
Evidence for multiple mechanisms in human ventricular fibrillation
MP Nash, A Mourad, RH Clayton, PM Sutton, CP Bradley, M Hayward, ...
Circulation 114 (6), 536-542, 2006
2812006
Effects of aerobic exercise training and yoga on the baroreflex in healthy elderly persons
AJ Bowman, RH Clayton, A Murray, JW Reed, MMF Subhan, GA Ford
European journal of clinical investigation 27 (5), 443-449, 1997
2051997
Verification of cardiac tissue electrophysiology simulators using an N-version benchmark
SA Niederer, E Kerfoot, AP Benson, MO Bernabeu, O Bernus, C Bradley, ...
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2011
2032011
A guide to modelling cardiac electrical activity in anatomically detailed ventricles
RH Clayton, AV Panfilov
Progress in biophysics and molecular biology 96 (1-3), 19-43, 2008
2022008
Whole heart action potential duration restitution properties in cardiac patients: a combined clinical and modelling study
MP Nash, CP Bradley, PM Sutton, RH Clayton, P Kallis, MP Hayward, ...
Experimental physiology 91 (2), 339-354, 2006
1562006
Comparison of four techniques for recognition of ventricular fibrillation from the surface ECG
RH Clayton, A Murray, RWF Campbell
Medical and Biological Engineering and Computing 31 (2), 111-117, 1993
1131993
Phase singularities and filaments: simplifying complexity in computational models of ventricular fibrillation
RH Clayton, EA Zhuchkova, AV Panfilov
Progress in biophysics and molecular biology 90 (1-3), 378-398, 2006
1072006
Recognition of ventricular fibrillation using neural networks
RH Clayton, A Murray, RWF Campbell
Medical and Biological Engineering and Computing 32 (2), 217-220, 1994
1051994
Uncertainty and variability in models of the cardiac action potential: Can we build trustworthy models?
RH Johnstone, ETY Chang, R Bardenet, TP De Boer, DJ Gavaghan, ...
Journal of molecular and cellular cardiology 96, 49-62, 2016
1032016
Organization of ventricular fibrillation in the human heart: experiments and models
KHWJ Ten Tusscher, A Mourad, MP Nash, RH Clayton, CP Bradley, ...
Experimental physiology 94 (5), 553-562, 2009
1032009
Uncertainty and variability in computational and mathematical models of cardiac physiology
GR Mirams, P Pathmanathan, RA Gray, P Challenor, RH Clayton
The Journal of physiology 594 (23), 6833-6847, 2016
1002016
Computational models of normal and abnormal action potential propagation in cardiac tissue: linking experimental and clinical cardiology
RH Clayton
Physiological measurement 22 (3), R15, 2001
762001
Propagation of normal beats and re-entry in a computational model of ventricular cardiac tissue with regional differences in action potential shape and duration
RH Clayton, AV Holden
Progress in biophysics and molecular biology 85 (2-3), 473-499, 2004
682004
Regional differences in APD restitution can initiate wavebreak and re-entry in cardiac tissue: a computational study
RH Clayton, P Taggart
Biomedical engineering online 4 (1), 1-14, 2005
672005
A method to quantify the dynamics and complexity of re-entry in computational models of ventricular fibrillation
RH Clayton, AV Holden
Physics in Medicine & Biology 47 (2), 225, 2002
622002
Dispersion of cardiac action potential duration and the initiation of re-entry: a computational study
RH Clayton, AV Holden
Biomedical engineering online 4 (1), 1-15, 2005
582005
Acidosis in models of cardiac ventricular myocytes
EJ Crampin, NP Smith, AE Langham, RH Clayton, CH Orchard
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2006
532006
Heart rate and blood pressure variability in normal subjects compared with data from beat-to-beat models developed from de Boer's model of the cardiovascular system
AM Whittam, RH Clayton, SW Lord, JM McComb, A Murray
Physiological measurement 21 (2), 305, 2000
532000
Bayesian sensitivity analysis of a cardiac cell model using a Gaussian process emulator
ETY Chang, M Strong, RH Clayton
PloS one 10 (6), e0130252, 2015
522015
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