Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 1 to 20 of 68

1.

Fitting two human atrial cell models to experimental data using Bayesian history matching.

Coveney S, Clayton RH.

Prog Biophys Mol Biol. 2018 Aug 24. pii: S0079-6107(18)30015-4. doi: 10.1016/j.pbiomolbio.2018.08.001. [Epub ahead of print]

2.
3.

Unraveling the Underlying Arrhythmia Mechanism in Persistent Atrial Fibrillation: Results From the STARLIGHT Study.

Child N, Clayton RH, Roney CR, Laughner JI, Shuros A, Neuzil P, Petru J, Jackson T, Porter B, Bostock J, Niederer SA, Razavi RS, Rinaldi CA, Taggart P, Wright MJ, Gill J.

Circ Arrhythm Electrophysiol. 2018 Jun;11(6):e005897. doi: 10.1161/CIRCEP.117.005897.

PMID:
29858382
4.

Spatio-temporal Organization During Ventricular Fibrillation in the Human Heart.

Robson J, Aram P, Nash MP, Bradley CP, Hayward M, Paterson DJ, Taggart P, Clayton RH, Kadirkamanathan V.

Ann Biomed Eng. 2018 Jun;46(6):864-876. doi: 10.1007/s10439-018-2007-9. Epub 2018 Mar 15.

5.

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

Johnston BM, Coveney S, Chang ETY, Johnston PR, Clayton RH.

Med Biol Eng Comput. 2018 May;56(5):761-780. doi: 10.1007/s11517-017-1714-y. Epub 2017 Sep 20.

6.

Mechanisms of stochastic onset and termination of atrial fibrillation studied with a cellular automaton model.

Lin YT, Chang ET, Eatock J, Galla T, Clayton RH.

J R Soc Interface. 2017 Mar;14(128). pii: 20160968. doi: 10.1098/rsif.2016.0968.

7.

Bayesian sensitivity analysis of a 1D vascular model with Gaussian process emulators.

Melis A, Clayton RH, Marzo A.

Int J Numer Method Biomed Eng. 2017 Dec;33(12). doi: 10.1002/cnm.2882. Epub 2017 May 11.

8.

A Stochastic Individual-Based Model of the Progression of Atrial Fibrillation in Individuals and Populations.

Chang ET, Lin YT, Galla T, Clayton RH, Eatock J.

PLoS One. 2016 Apr 12;11(4):e0152349. doi: 10.1371/journal.pone.0152349. eCollection 2016.

9.

Uncertainty and variability in computational and mathematical models of cardiac physiology.

Mirams GR, Pathmanathan P, Gray RA, Challenor P, Clayton RH.

J Physiol. 2016 Dec 1;594(23):6833-6847. doi: 10.1113/JP271671. Epub 2016 Jun 9.

10.

Uncertainty and variability in models of the cardiac action potential: Can we build trustworthy models?

Johnstone RH, Chang ETY, Bardenet R, de Boer TP, Gavaghan DJ, Pathmanathan P, Clayton RH, Mirams GR.

J Mol Cell Cardiol. 2016 Jul;96:49-62. doi: 10.1016/j.yjmcc.2015.11.018. Epub 2015 Dec 2.

11.

Correction: Bayesian Sensitivity Analysis of a Cardiac Cell Model Using a Gaussian Process Emulator.

Chang ET, Strong M, Clayton RH.

PLoS One. 2015 Aug 27;10(8):e0137004. doi: 10.1371/journal.pone.0137004. eCollection 2015. No abstract available.

12.

Bayesian Sensitivity Analysis of a Cardiac Cell Model Using a Gaussian Process Emulator.

Chang ET, Strong M, Clayton RH.

PLoS One. 2015 Jun 26;10(6):e0130252. doi: 10.1371/journal.pone.0130252. eCollection 2015. Erratum in: PLoS One. 2015;10(8):e0137004.

13.

Analysis of cardiac fibrillation using phase mapping.

Clayton RH, Nash MP.

Card Electrophysiol Clin. 2015 Mar;7(1):49-58. doi: 10.1016/j.ccep.2014.11.011. Epub 2014 Dec 8. Review.

PMID:
25784022
14.

Effect of global cardiac ischemia on human ventricular fibrillation: insights from a multi-scale mechanistic model of the human heart.

Kazbanov IV, Clayton RH, Nash MP, Bradley CP, Paterson DJ, Hayward MP, Taggart P, Panfilov AV.

PLoS Comput Biol. 2014 Nov 6;10(11):e1003891. doi: 10.1371/journal.pcbi.1003891. eCollection 2014 Nov.

15.

Models of ventricular arrhythmia mechanisms.

Clayton RH.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:1526-9. doi: 10.1109/EMBC.2013.6609803.

PMID:
24109990
16.

A computational model of auxin and pH dynamics in a single plant cell.

Steinacher A, Leyser O, Clayton RH.

J Theor Biol. 2012 Mar 7;296:84-94. doi: 10.1016/j.jtbi.2011.11.020. Epub 2011 Dec 1.

PMID:
22142622
17.

Human ventricular fibrillation during global ischemia and reperfusion: paradoxical changes in activation rate and wavefront complexity.

Bradley CP, Clayton RH, Nash MP, Mourad A, Hayward M, Paterson DJ, Taggart P.

Circ Arrhythm Electrophysiol. 2011 Oct;4(5):684-91. doi: 10.1161/CIRCEP.110.961284. Epub 2011 Aug 13.

PMID:
21841193
18.

Experiment-model interaction for analysis of epicardial activation during human ventricular fibrillation with global myocardial ischaemia.

Clayton RH, Nash MP, Bradley CP, Panfilov AV, Paterson DJ, Taggart P.

Prog Biophys Mol Biol. 2011 Oct;107(1):101-11. doi: 10.1016/j.pbiomolbio.2011.06.010. Epub 2011 Jul 2.

PMID:
21741985
19.

Models of cardiac tissue electrophysiology: progress, challenges and open questions.

Clayton RH, Bernus O, Cherry EM, Dierckx H, Fenton FH, Mirabella L, Panfilov AV, Sachse FB, Seemann G, Zhang H.

Prog Biophys Mol Biol. 2011 Jan;104(1-3):22-48. doi: 10.1016/j.pbiomolbio.2010.05.008. Epub 2010 May 27. Review.

PMID:
20553746
20.

Rate-dependent measures of repolarization predict inducibility of ventricular arrhythmias.

Sheridan PJ, Marques JL, Newman CM, Heller SR, Clayton RH.

Europace. 2010 Apr;12(4):553-60. doi: 10.1093/europace/euq024. Epub 2010 Mar 4.

PMID:
20202983

Supplemental Content

Loading ...
Support Center