Effect of Global Cardiac Ischemia on Human Ventricular Fibrillation: Insights from a Multi-scale Mechanistic Model of the Human Heart
- Submitting institution
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The University of Sheffield
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2470
- Type
- D - Journal article
- DOI
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10.1371/journal.pcbi.1003891
- Title of journal
- PLoS Computational Biology
- Article number
- e1003891
- First page
- -
- Volume
- 10
- Issue
- 11
- ISSN
- 1553-734X
- Open access status
- Out of scope for open access requirements
- Month of publication
- November
- Year of publication
- 2014
- 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
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7
- Research group(s)
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B - Complex Systems Modelling
- Citation count
- 23
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper describes a novel model of how electrical activity in human heart cells is altered by reduced blood flow (ischaemia). Previous models have been based on animal or experimental data, but this model is based on data from human cells. The cell model was embedded in a multiscale human heart model, and used with a unique dataset from patients to unpick the mechanisms that alter electrical activation in the human heart during cardiac arrest. The findings are directly relevant to understanding mechanisms and consequences of cardiac arrest and have implications for the management of patients during resuscitation.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -