Professor Richard Clayton
Department of Computer Science
Professor of Computational Physiology
Deputy Head of Department
Member of the Complex Systems Modelling research group
+44 114 222 1845
Full contact details
Department of Computer Science
Regent Court (DCS)
Richard Clayton has a first degree in Applied Physics and Electronics from the University of Durham, and a PhD in Medical Physics from the University in Newcastle upon Tyne. After completing his PhD, Richard continued research at the Freeman Hospital in Newcastle upon Tyne, funded by British Heart Foundation junior and intermediate fellowships.
The main focus of these projects was on understanding the electrical mechanisms that underlie life-threatening disorders of heart rhythm, based on the analysis of data recorded from patients. A move to the University of Leeds, funded by a British Heart Foundation Lectureship enabled Richard to work on developing mechanistic models of cardiac electrophysiology in the human heart.
Richard Clayton was appointed Senior Lecturer in the Department of Computer Science in Sheffield in 2003, promoted to Reader in Computer Science in 2008, and Professor of Computational Physiology in 2014. He is a core member of the INSIGNEO institute for in-silico Medicine, and serves on the INSIGNEO board.
- Research interests
Richard Clayton’s research interests are focussed on developing physics-based and mechanistic computational models and simulations as tools to examine the structure and function of human tissues and organs. This theme aligns with the recently established INSIGNEO institute for in-silico medicine in Sheffield.
Richard Clayton has had a long running interest in developing computational models to investigate the mechanisms that initiate and sustain dangerous disorders of heart rhythm in the human heart, and this has been funded through grants and fellowships from the British Heart Foundation.
Recent funding from EPSRC will develop techniques to handle the quantification and propagation of uncertainty within multiscale models of physiology.
- An audit of uncertainty in multi-scale cardiac electrophysiology models. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 378(2173).
- Gaussian process manifold interpolation for probabilistic atrial activation maps and uncertain conduction velocity. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 378(2173).
- The fickle heart: uncertainty quantification in cardiac and cardiovascular modelling and simulation. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 378(2173), 20200119-20200119.
- Sensitivity and uncertainty analysis of two human atrial cardiac cell models using gaussian process emulators. Frontiers in Physiology, 11.
- Quantifying atrial anatomy uncertainty from clinical data and its impact on electro-physiology simulation predictions. Medical Image Analysis, 61. View this article in WRRO
- The role of cardiac MRI in the management of ventricular arrhythmias in ischaemic and non-ischaemic dilated cardiomyopathy. Arrhythmia & Electrophysiology Review, 8(3), 191-201. View this article in WRRO
- Improved biomechanical metrics of cerebral vasospasm identified via sensitivity analysis of a 1D cerebral circulation model. Journal of Biomechanics, 90, 24-32. View this article in WRRO
- A theoretical analysis of how plant growth is limited by carbon allocation strategies and respiration. in silico Plants (isP), 1(1). View this article in WRRO
- Probabilistic Interpolation of Uncertain Local Activation Times on Human Atrial Manifolds. IEEE Transactions on Biomedical Engineering. View this article in WRRO
- Fitting two human atrial cell models to experimental data using Bayesian history matching. Progress in Biophysics & Molecular Biology. View this article in WRRO
- Spatio-temporal Organization During Ventricular Fibrillation in the Human Heart. Annals of Biomedical Engineering, 46(6), 864-876. View this article in WRRO
- Unraveling the Underlying Arrhythmia Mechanism in Persistent Atrial Fibrillation. Circulation: Arrhythmia and Electrophysiology, 11(6). View this article in WRRO
- Bayesian sensitivity analysis of a 1D vascular model with Gaussian process emulators. International Journal for Numerical Methods in Biomedical Engineering, 33(12). View this article in WRRO
- 30Optimising the predictive capability of a mathematical model of AF progression using cardiac device data. EP Europace, 19(suppl_1), i13-i13.
- Quantifying the effect of uncertainty in input parameters in a simplified bidomain model of partial thickness ischaemia. Medical & Biological Engineering & Computing. View this article in WRRO
- Mechanisms of stochastic onset and termination of atrial fibrillation studied with a cellular automaton model. Journal of the Royal Society Interface, 14(128). View this article in WRRO
- Uncertainty and variability in computational and mathematical models of cardiac physiology. Journal of Physiology, 594(23), 6833-6847. View this article in WRRO
- Uncertainty and variability in models of the cardiac action potential: Can we build trustworthy models?. Journal of Molecular and Cellular Cardiology, 96, 49-62. View this article in WRRO
- A Stochastic Individual-Based Model of the Progression of Atrial Fibrillation in Individuals and Populations. PLOS ONE, 11(4), e0152349-e0152349. View this article in WRRO
- Bayesian Sensitivity Analysis of a Cardiac Cell Model Using a Gaussian Process Emulator. PLoS ONE, 10(6). View this article in WRRO
- Analysis of Cardiac Fibrillation Using Phase Mapping. Cardiac Electrophysiology Clinics, 7(1), 49-58.
- Computational models of ventricular arrhythmia mechanisms: recent developments and future prospects. Drug Discovery Today: Disease Models, 14, 17-22.
- Developing a novel comprehensive framework for the investigation of cellular and whole heart electrophysiology in the in situ human heart: historical perspectives, current progress and future prospects.. Prog Biophys Mol Biol, 115(2-3), 252-260.
- Models of ventricular arrhythmia mechanisms. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 1526-1529.
- A computational model of auxin and pH dynamics in a single plant cell. Journal of Theoretical Biology, 296, 84-94.
- Verification of cardiac tissue electrophysiology simulators using an N-version benchmark. PHILOS T R SOC A, 369(1954), 4331-4351.
- Human ventricular fibrillation during global ischemia and reperfusion: paradoxical changes in activation rate and wavefront complexity.. Circ Arrhythm Electrophysiol, 4(5), 684-691.
- Experiment-model interaction for analysis of epicardial activation during human ventricular fibrillation with global myocardial ischaemia.. Prog Biophys Mol Biol, 107(1), 101-111.
- The cardiac physiome: Foundations and future prospects for mathematical modelling of the heart. Progress in Biophysics and Molecular Biology, 104(1-3), 1-1.
- Experiment-model interaction for analysis of epicardial activation during human ventricular fibrillation with global myocardial ischaemia. Progress in Biophysics and Molecular Biology, 107(1), 101-111.
- Modeling the Urinary Tract-Computational, Physical, and Biological Methods. NEUROUROL URODYNAM, 30(5), 692-699.
- Models of cardiac tissue electrophysiology: progress, challenges and open questions.. Prog Biophys Mol Biol, 104(1-3), 22-48.
- Computer simulation: The imaginary friend of auxin transport biology. BIOESSAYS, 32(9), 828-835.
- Rate-dependent measures of repolarization predict inducibility of ventricular arrhythmias.. Europace, 12(4), 553-560.
- Re-entry in a model of ischaemic ventricular tissue. Computing in Cardiology, 37, 181-184.
- Transmural changes in fibre helix angle in normal and failing canine ventricles. Computing in Cardiology, 37, 915-918.
- Influence of cardiac tissue anisotropy on re-entrant activation in computational models of ventricular fibrillation. PHYSICA D, 238(11-12), 951-961. View this article in WRRO
- Organization of ventricular fibrillation in the human heart: experiments and models. EXP PHYSIOL, 94(5), 553-562.
- Early afterdepolarisations and ventricular arrhythmias in cardiac tissue: a computational study.. Med Biol Eng Comput, 47(3), 291-300. View this article in WRRO
- Vortex filament dynamics in computational models of ventricular fibrillation in the heart.. Chaos, 18(4), 043127.
- Modelling the Mammalian heart, 175-193.
- A guide to modelling cardiac electrical activity in anatomically detailed ventricles.. Prog Biophys Mol Biol, 96(1-3), 19-43.
- The virtual ventricular wall: A tool for exploring cardiac propagation and arrhythmogenesis. J BIOL PHYS, 32(3-4), 355-368.
- Initiation of re-entry in an excitable medium: structural investigation of cardiac tissue using a genetic algorithm.. Chaos, 16(3), 033115.
- Evidence for multiple mechanisms in human ventricular fibrillation. CIRCULATION, 114(6), 536-542.
- Acidosis in models of cardiac ventricular myocytes. PHILOS T R SOC A, 364(1842), 1171-1186. View this article in WRRO
- Endogenous driving and synchronization in cardiac and uterine virtual tissues: bifurcations and local coupling. PHILOS T R SOC A, 364(1842), 1313-1327. View this article in WRRO
- P6-25. Heart Rhythm, 3(5), S309-S310.
- P5-12. Heart Rhythm, 3(5), S264-S264.
- Whole heart action potential duration restitution properties in cardiac patients: a combined clinical and modelling study. EXP PHYSIOL, 91(2), 339-354.
- Re-entry by early afterdepolarisations in a computational model. Computers in Cardiology, 33, 221-224.
- Epicardial ECG mapping of human ventricular fibrillation. IET Conference Publications(520), 47.
- Phase singularities and filaments: simplifying complexity in computational models of ventricular fibrillation.. Prog Biophys Mol Biol, 90(1-3), 378-398.
- Dynamical and cellular electrophysiological mechanisms of ECG changes during ischaemia. J THEOR BIOL, 237(4), 369-381.
- Regional differences in APD restitution can initiate wavebreak and re-entry in cardiac tissue: a computational study.. Biomed Eng Online, 4, 54. View this article in WRRO
- Dispersion of cardiac action potential duration and the initiation of re-entry: a computational study.. Biomed Eng Online, 4, 11. View this article in WRRO
- 21 Towards understanding the physical basis of re-entrant cardiac arrhythmias. Studies in Multidisciplinarity, 3(C), 389-410.
- Propagation of normal beats and re-entry in a computational model of ventricular cardiac tissue with regional differences in action potential shape and duration.. Prog Biophys Mol Biol, 85(2-3), 473-499.
- Filament behavior in a computational model of ventricular fibrillation in the canine heart.. IEEE Trans Biomed Eng, 51(1), 28-34. View this article in WRRO
- EDITORIAL. International Journal of Bifurcation and Chaos, 13(12), 3531-3534.
- Virtual tissue engineering of the heart. INT J BIFURCAT CHAOS, 13(12), 3531-3534.
- Effect of regional differences in cardiac cellular electrophysiology on the stability of ventricular arrhythmias: a computational study.. Phys Med Biol, 48(1), 95-111.
- Computational framework for simulating the mechanisms and ECG of re-entrant ventricular fibrillation.. Physiol Meas, 23(4), 707-726.
- Mathematical modelling for the new millenium: medicine by numbers.. Med Eng Phys, 24(9), 565-574.
- Enhanced self-termination of re-entrant arrhythmias as a pharmacological strategy for antiarrhythmic action.. Chaos, 12(3), 843-851.
- From excitable media to virtual cardiac tissue. CHAOS SOLITON FRACT, 13(8), 1579-1580.
- Dynamics and interaction of filaments in a computational model of re-entrant ventricular fibrillation.. Phys Med Biol, 47(10), 1777-1792.
- A method to quantify the dynamics and complexity of re-entry in computational models of ventricular fibrillation.. Phys Med Biol, 47(2), 225-238.
- Computational models of normal and abnormal action potential propagation in cardiac tissue: linking experimental and clinical cardiology.. Physiol Meas, 22(3), R15-R34.
- Re-entrant cardiac arrhythmias in computational models of long QT myocardium.. J Theor Biol, 208(2), 215-225.
- 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. PHYSIOL MEAS, 21(2), 305-318.
- Coherence between body surface ECG leads and intracardiac signals increases during the first 10 s of ventricular fibrillation in the human heart.. Physiol Meas, 20(2), 159-166.
- Linear and non-linear analysis of the surface electrocardiogram during human ventricular fibrillation shows evidence of order in the underlying mechanism.. Med Biol Eng Comput, 37(3), 354-358.
- Computer simulation of heart rate and blood pressure changes, and comparison with clinical data. IEE Colloquium (Digest)(526).
- . Clinical Science, 95(5), 575-575.
- Comparison of techniques for time-frequency analysis of the ECG during human ventricular fibrillation. IEE P-SCI MEAS TECH, 145(6), 301-306.
- Reproducibility of three different methods of measuring baroreflex sensitivity in normal subjects.. Clin Sci (Lond), 95(5), 575-581.
- Characteristics of multichannel ECG recordings during human ventricular tachyarrhythmias.. IEEE Eng Med Biol Mag, 17(1), 39-55.
- Time-frequency analysis of ventricular arrhythmias. IEE Colloquium (Digest)(6).
- Baroreflex function in sedentary and endurance-trained elderly people.. Age Ageing, 26(4), 289-294.
- Sympathetic reinnervation and heart rate variability after cardiac transplantation.. Heart, 77(6), 532-538.
- Baroreflex sensitivity may be estimated using spectral analysis. Heart, 77(SUPPL. 1).
- Effects of aerobic exercise training and yoga on the baroreflex in healthy elderly persons.. Eur J Clin Invest, 27(5), 443-449.
- Analysis of the body surface ECG measured in independent leads during ventricular fibrillation in humans.. Pacing Clin Electrophysiol, 18(10), 1876-1881.
- EFFECTS OF AEROBIC ON BAROREFLEX SENSITIVITY IN HEALTHY SEDENTARY ELDERLY SUBJECTS. J AM GERIATR SOC, 43(9), SA77-SA77.
- Objective features of the surface electrocardiogram during ventricular tachyarrhythmias.. Eur Heart J, 16(8), 1115-1119.
- Evidence for electrical organization during ventricular fibrillation in the human heart.. J Cardiovasc Electrophysiol, 6(8), 616-624.
- Measurement of baroreflex gain from heart rate and blood pressure spectra: a comparison of spectral estimation techniques.. Physiol Meas, 16(2), 131-139.
- Assessment of the ventricular fibrillation detection algorithm in the semi-automatic Cardio-Aid defibrillator.. Resuscitation, 29(2), 113-117.
- Simplified body-surface electrocardiographic maps with depolarization magnitude and direction.. Physiol Meas, 15(3), 235-242.
- Monitoring oxygenator gas exchange performance.. Perfusion, 9(3), 163-171.
- Recognition of ventricular fibrillation using neural networks.. Med Biol Eng Comput, 32(2), 217-220.
- Changes in the surface electrocardiogram during the onset of spontaneous ventricular fibrillation in man.. Eur Heart J, 15(2), 184-188.
- Comparative assessment of the ventricular fibrillation detection algorithms in five semi-automatic or advisory defibrillators.. Resuscitation, 26(2), 163-172.
- Comparison of four techniques for recognition of ventricular fibrillation from the surface ECG.. Med Biol Eng Comput, 31(2), 111-117.
- Self-terminating ventricular tachyarrhythmias--a diagnostic dilemma?. Lancet, 341(8837), 93-95.
- Assessment of oxygen transfer in membrane oxygenators during clinical cardiopulmonary bypass.. Clin Phys Physiol Meas, 13(2), 167-177.
- Repeatability of dynamic eye pupil response measurement using the Pupilscan instrument.. Clin Phys Physiol Meas, 12(4), 377-385.
- Clinical comparison of two devices for detection of microemboli during cardiopulmonary bypass.. Clin Phys Physiol Meas, 11(4), 327-332.
- Clinical trial of the Continucath intra-arterial oxygen monitor. A comparison with intermittent arterial blood gas analysis.. Anaesthesia, 43(8), 677-682.
- A clinical evaluation of the Bentley 10B and Bentley 10Plus bubble oxygenators. Perfusion, 3(1), 55-63.
- EXTRACORPOREAL-CIRCULATION MATERIAL EVALUATION - MICROEMBOLI. LIFE SUPPORT SYST, 5(1), 53-67.
- Dispersion of Recovery and Vulnerability to Re-entry in a Model of Human Atrial Tissue With Simulated Diffuse and Focal Patterns of Fibrosis. Frontiers in Physiology, 9. View this article in WRRO
- Correction: Bayesian Sensitivity Analysis of a Cardiac Cell Model Using a Gaussian Process Emulator. PLOS ONE, 10(8), e0137004-e0137004. View this article in WRRO
- Effect of Global Cardiac Ischemia on Human Ventricular Fibrillation: Insights from a Multi-scale Mechanistic Model of the Human Heart. PLoS Computational Biology, 10(11). View this article in WRRO
- Excitation-Contraction in the Heart, Cardiovascular Biomechanics (pp. 107-126). Springer International Publishing
- Partial Differential Equations, Wave Equation, Encyclopedia of Systems Biology (pp. 1638-1640). Springer New York
- Modelling the mammalian heart. In Grierson C & Hetherington A (Ed.), Practical systems biology (pp. 175-193). Taylor and Francis Group
Conference proceedings papers
- Can computational modelling explain the dead in bed syndrome?. DIABETOLOGIA, Vol. 62 (pp S46-S46)
- Pharmacological autonomic blockade during experimental hypoglycaemia exacerbates cardiac repolarisation abnormalities. DIABETOLOGIA, Vol. 60 (pp S74-S74)
- Pharmacological Autonomic Blockade Exacerbates Cardiac Repolarization Abnormalities during Experimental Hypoglycemia. DIABETES, Vol. 66 (pp A95-A95)
- Variance Based Sensitivity Analysis of IKrIKr in a Model of the Human Atrial Action Potential Using Gaussian Process Emulators. Functional Imaging and Modelling of the Heart 2017, Proceedings, Vol. 10263 LNCS (pp 249-259) View this article in WRRO
- Uncertainty and sensitivity analysis of the Courtemanche-Ramirez-Nattel human atrial cell model using Gaussian Process emulators. 2015 Computing in Cardiology Conference (CinC), 6 September 2015 - 9 September 2015.
- Parameter sensitivity from single atrial cell to tissue: How much does it matter? A simulation and multivariate regression study. 2015 Computing in Cardiology Conference (CinC), 6 September 2015 - 9 September 2015.
- Assessing measures of atrial fibrillation clustering via stochastic models of episode recurrence and disease progression. 2015 Computing in Cardiology Conference (CinC), 6 September 2015 - 9 September 2015.
- The effect of scar tissue on complexity of activation patterns in simulated human ventricular fibrillation. Computing in Cardiology, Vol. 41(January) (pp 1133-1136)
- Parameter sensitivity analysis of a human atrial cell model using multivariate regression. Computing in Cardiology, Vol. 41(January) (pp 521-524)
- View this article in WRRO Formulation of ATP sensitive K+ current and action potential shape in models of human ventricular myocytes. Computing in Cardiology, Vol. 41(January) (pp 201-204)
- A Comparison of Two Models of Human Ventricular Tissue: Simulated Ischaemia and Re-entry. Computing in Cardiology, Vol. 40 (pp 385-388). Barcelona
- Clustering of Re-entry Close to Scar Boundaries in Ventricular Tissue during Simulated Ventricular Fibrillation. Computing in Cardiology, Vol. 40 (pp 1131-1134). Barcelona
- Transient Type II Ventricular Fibrillation During Global Ischemia in the in-situ Human Heart. CIRCULATION, Vol. 120(18) (pp S630-S630)
- Epicardial Mapping of Ventricular Fibrillation in the Human Heart during Ischaemia and Reperfusion. COMPUTERS IN CARDIOLOGY 2008, VOLS 1 AND 2 (pp 1029-1032)
- Automatic Classification of Arrhythmic Beats Using Gaussian Processes. COMPUTERS IN CARDIOLOGY 2008, VOLS 1 AND 2 (pp 921-924)
- Is human ventricular fibrillation different from experimental models?. CIRCULATION, Vol. 116(16) (pp 278-278)
- Mobility of epicardial rotors during human ventricular fibrillation. CIRCULATION, Vol. 116(16) (pp 278-278)
- Multi-variate visualization of cardiac virtual tissue. 19TH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS (pp 665-670)
- Model based visualization of cardiac virtual tissue. Proceedings of the UK e-Science All Hands Meeting 2006 (pp 233-240)
- Early ventricular fibrillation in the human heart is sustained by a small number of re-entrant sources. CIRCULATION, Vol. 112(17) (pp U131-U131)
- Simulation of hypertrophy in rat left ventricular cells. Computers in Cardiology 2004, Vol 31, Vol. 31 (pp 513-516)
- Can endogenous, noise-triggered early after-depolarizations initiate reentry in a modified Luo-Rudy ventricular virtual tissue?. INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, Vol. 13(12) (pp 3835-3843)
- Vulnerability to reentry, and drift, stability and breakdown of spiral waves in a linear gradient of G(K) in a Luo-Rudy 1 virtual ventricular tissue. INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, Vol. 13(12) (pp 3865-3871)
- Constructive volume geometry applied to visualization of cardiac anatomy and electrophysiology. INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, Vol. 13(12) (pp 3591-3604)
- Dynamics and interaction of filaments during reentry and fibrillation in mammalian virtual ventricular tissue. INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, Vol. 13(12) (pp 3733-3745)
- Visualising cardiac anatomy using constructive volume geometry. FUNCTIONAL IMAGING AND MODELING OF THE HEART, PROCEEDINGS, Vol. 2674 (pp 30-38)
- Regional differences in action potential duration and stability of re-entry: insights from computational models. JOURNAL OF PHYSIOLOGY-LONDON, Vol. 544 (pp 3P-3P)
- Re-entry in computational models of ischaemic myocardium. CHAOS SOLITONS & FRACTALS, Vol. 13(8) (pp 1671-1683)
- Simulating the ECG of ventricular tachyarrhythmias. COMPUTERS IN CARDIOLOGY 2002, VOL 29, Vol. 29 (pp 321-324)
- Filament dynamics in a computational model of re-entrant fibrillation in anatomically detailed canine ventricular anatomy. SECOND JOINT EMBS-BMES CONFERENCE 2002, VOLS 1-3, CONFERENCE PROCEEDINGS (pp 1417-1418)
- Differential meander of re-entrant spiral waves in mammalian virtual ventricular tissue. JOURNAL OF PHYSIOLOGY-LONDON, Vol. 536 (pp 71P-71P)
- Temporal evolution of nonlinear dynamics in ventricular arrhythmia. INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, Vol. 11(10) (pp 2531-2548)
- Re-entry in the Luo-Rudy ventricular tissue model with different models of Ca2+ dynamics. COMPUTERS IN CARDIOLOGY 2001, VOL 28, Vol. 28 (pp 233-236)
- Computational simulation of multiple wavelet re-entry and fibrillatory conduction shows differences in the ECG characteristics of each mechanism. COMPUTERS IN CARDIOLOGY 2000, VOL 27, Vol. 27 (pp 343-346)
- Re-entrant arrhythmias in simulations of the Long-QT syndrome. COMPUTERS IN CARDIOLOGY 1999, VOL 26 (pp 121-124)
- Linear and nonlinear characteristics of ECG signals produced by simulations of ventricular tachyarrhythmias. COMPUTERS IN CARDIOLOGY 1999, VOL 26 (pp 479-482)
- Computer modelling of heart rate and blood pressure. COMPUTERS IN CARDIOLOGY 1998, VOL 25, Vol. 25 (pp 149-152)
- Model based investigation of cardiovascular variability. IEE Colloquium (Digest)(9)
- Time-frequency analysis of human polymorphic ventricular tachycardia. COMPUTERS IN CARDIOLOGY 1997, VOL 24, Vol. 24 (pp 97-100)
- Comparison of autoregressive and Fourier transform based techniques for estimating RR interval spectra. COMPUTERS IN CARDIOLOGY 1997, VOL 24, Vol. 24 (pp 379-382)
- Relation between intracardiac and surface ECG signals during the onset of human ventricular fibrillation. COMPUTERS IN CARDIOLOGY 1996 (pp 341-344)
- Frequency analysis of ventricular fibrillation. IEE Colloquium (Digest)(43)
- Comparison of techniques for estimating baroreflex gain from heart rate and blood pressure spectra. COMPUTERS IN CARDIOLOGY 1995 (pp 301-304)
- ESTIMATION OF THE ECG SIGNAL SPECTRUM DURING VENTRICULAR-FIBRILLATION USING THE FAST FOURIER-TRANSFORM AND MAXIMUM-ENTROPY METHODS. COMPUTERS IN CARDIOLOGY 1993, PROCEEDINGS (pp 867-870)
- Automatic recording of ventricular fibrillation. Computers in Cardiology (pp 685-688)
- Changes in the surface ECG frequency spectrum during the onset of ventricular fibrillation. Computers in Cardiology (pp 515-518)
- Formulation of ATP sensitive K+ current and action potential shape in models of human ventricular myocytes. Computing in Cardiology, Vol. 41 (pp 201-201). Cambridge, 7 September 2014 - 10 September 2014.
- Evolution of ventricular fibrillation revealed by first return plots. Computers in Cardiology 2000. Vol.27 (Cat. 00CH37163)
- Frequency analysis of ventricular fibrillation in three surface ECG leads. Proceedings Computers in Cardiology
- An algorithm to sample an anatomy with uncertainty. 2018 Computing in Cardiology Conference (CinC), Vol. 45. Maastricht, The Netherlands, 23 September 2018 - 26 September 2018. View this article in WRRO
- PRIMAGE: PRedictive In-silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers, EC H2020, 12/2018 to 11/2022, £549,018, as Co-PI
- Neurocardiac Interaction In Malignant Ventricular Arrhythmias And Sudden Cardiac Death, British Heart Foundation, 7/2017 to 06/2022, £128,604, as PI
- Uncertainty Quantification in Prospective and Predictive Patient Specific Cardiac Models, EPSRC, 05/17 to 04/21, £460,590, as PI
- EurValve: Personalised Decision Support for Heart Valve Disease, EC H2020, 02/2016 to 01/2019, £401,801, as Co-PI
- QUINTET: Forecasting personal health in an uncertain environment, EPSRC, 04/2013 to 09/2017, £665,262, as PI
- POEMS: Predictive Modelling for Healthcare through Maths, EPSRC, 04/2013 to 03/2017, £218,232, as PI
- Development of a novel diagnostic model of urinary dysfunction, Sheffield Hospitals Charitable Trust, 03/2014 to 08/2014, £15,715, as Co-PI
- Determination of thresholds for the development of ventricular arrhythmias using computer modelling, Sheffield Hospitals Charitable Trust, 03/2010 to 12/2014, £48,370, as Co-PI
- Advanced Machine Learning Methodology for New Classes of Prediction Problems, EPSRC, 03/2008 to 03/2010, £85,491, as Co-PI
- Initiation of re-entry and fibrillation in the ventricle: A mechanistic investigation using computational models, British Heart Foundation, 07/2004 to 06/2007, £97,443, as PI
- Professional activities
- Member of the Complex Systems Modelling research group
- Member of INSIGNEO board
- Member of EPSRC review college