Novel non-invasive algorithm to identify the origins of re-entry and ectopic foci in the atria from 64-lead ECGs: A computational study.
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 24 - Sport and Exercise Sciences, Leisure and Tourism
- Output identifier
- UOA24-3452
- Type
- D - Journal article
- DOI
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10.1371/journal.pcbi.1005270
- Title of journal
- PLoS Computational Biology
- Article number
- e1005270
- First page
- -
- Volume
- 13
- Issue
- 3
- ISSN
- 1553-734X
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
