Novel non-invasive algorithm to identify the origins of re-entry and ectopic foci in the atria from 64-lead ECGs: A computational study.

Alday, EAP, Colman, MA orcid.org/0000-0003-2817-8508, Langley, P et al. (1 more author) (2017) Novel non-invasive algorithm to identify the origins of re-entry and ectopic foci in the atria from 64-lead ECGs: A computational study. PLoS Computational Biology, 13 (3). e1005270. ISSN 1553-734X

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Copyright, Publisher and Additional Information: © 2017 Alday et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Dates:
  • Published: 2 March 2017
  • Accepted: 28 November 2016
  • Published (online): 2 March 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biomedical Sciences (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 09 Mar 2017 13:25
Last Modified: 05 Oct 2017 16:19
Status: Published
Publisher: Public Library of Science
Identification Number: https://doi.org/10.1371/journal.pcbi.1005270
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