Mincholé A - Search Results

1

Improving the clinical understanding of hypertrophic cardiomyopathy by combining patient data, machine learning and computer simulations: A case study.

Lyon A, Mincholé A, Bueno-Orovio A, Rodriguez B. Lyon A, et al. Among authors: minchole a. Morphologie. 2019 Dec;103(343):169-179. doi: 10.1016/j.morpho.2019.09.001. Epub 2019 Sep 27. Morphologie. 2019. PMID: 31570308 Free PMC article.

2

Electrocardiogram phenotypes in hypertrophic cardiomyopathy caused by distinct mechanisms: apico-basal repolarization gradients vs. Purkinje-myocardial coupling abnormalities.

Lyon A, Bueno-Orovio A, Zacur E, Ariga R, Grau V, Neubauer S, Watkins H, Rodriguez B, Mincholé A. Lyon A, et al. Among authors: minchole a. Europace. 2018 Nov 1;20(suppl_3):iii102-iii112. doi: 10.1093/europace/euy226. Europace. 2018. PMID: 30476051 Free PMC article.

3

Machine learning in the electrocardiogram.

Mincholé A, Camps J, Lyon A, Rodríguez B. Mincholé A, et al. J Electrocardiol. 2019 Nov-Dec;57S:S61-S64. doi: 10.1016/j.jelectrocard.2019.08.008. Epub 2019 Aug 8. J Electrocardiol. 2019. PMID: 31521378 Review.

4

High arrhythmic risk in antero-septal acute myocardial ischemia is explained by increased transmural reentry occurrence.

Martinez-Navarro H, Mincholé A, Bueno-Orovio A, Rodriguez B. Martinez-Navarro H, et al. Among authors: minchole a. Sci Rep. 2019 Nov 14;9(1):16803. doi: 10.1038/s41598-019-53221-2. Sci Rep. 2019. PMID: 31728039 Free PMC article.

5

ECG-based estimation of dispersion of APD restitution as a tool to stratify sotalol-induced arrhythmic risk.

Mincholé A, Bueno-Orovio A, Laguna P, Pueyo E, Rodriguez B. Mincholé A, et al. J Electrocardiol. 2015 Sep-Oct;48(5):867-73. doi: 10.1016/j.jelectrocard.2015.06.006. Epub 2015 Jun 6. J Electrocardiol. 2015. PMID: 26117457 Free PMC article.

6

Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances.

Lyon A, Mincholé A, Martínez JP, Laguna P, Rodriguez B. Lyon A, et al. Among authors: minchole a. J R Soc Interface. 2018 Jan;15(138):20170821. doi: 10.1098/rsif.2017.0821. J R Soc Interface. 2018. PMID: 29321268 Free PMC article. Review.

7

Distinct ECG Phenotypes Identified in Hypertrophic Cardiomyopathy Using Machine Learning Associate With Arrhythmic Risk Markers.

Lyon A, Ariga R, Mincholé A, Mahmod M, Ormondroyd E, Laguna P, de Freitas N, Neubauer S, Watkins H, Rodriguez B. Lyon A, et al. Among authors: minchole a. Front Physiol. 2018 Mar 13;9:213. doi: 10.3389/fphys.2018.00213. eCollection 2018. Front Physiol. 2018. PMID: 29593570 Free PMC article.

8

Artificial intelligence for the electrocardiogram.

Mincholé A, Rodriguez B. Mincholé A, et al. Nat Med. 2019 Jan;25(1):22-23. doi: 10.1038/s41591-018-0306-1. Nat Med. 2019. PMID: 30617324 No abstract available.

9

Inference of ventricular activation properties from non-invasive electrocardiography.

Camps J, Lawson B, Drovandi C, Minchole A, Wang ZJ, Grau V, Burrage K, Rodriguez B. Camps J, et al. Among authors: minchole a. Med Image Anal. 2021 Oct;73:102143. doi: 10.1016/j.media.2021.102143. Epub 2021 Jun 23. Med Image Anal. 2021. PMID: 34271532 Free PMC article.

10

Mechanisms of pro-arrhythmic abnormalities in ventricular repolarisation and anti-arrhythmic therapies in human hypertrophic cardiomyopathy.

Passini E, Mincholé A, Coppini R, Cerbai E, Rodriguez B, Severi S, Bueno-Orovio A. Passini E, et al. Among authors: minchole a. J Mol Cell Cardiol. 2016 Jul;96:72-81. doi: 10.1016/j.yjmcc.2015.09.003. Epub 2015 Sep 16. J Mol Cell Cardiol. 2016. PMID: 26385634 Free PMC article.

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