Sensitivity and uncertainty analysis of two human atrial cardiac cell models using gaussian process emulators

Coveney, S. and Clayton, R.H. orcid.org/0000-0002-8438-7518 (2020) Sensitivity and uncertainty analysis of two human atrial cardiac cell models using gaussian process emulators. Frontiers in Physiology, 11. 364.

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Item Type: Article
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© 2020 The Authors. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Keywords: cardiac electrophysiology; cell model; sensitivity analysis; uncertainty quantification; statistical model; Gaussian process
Dates:
  • Published: 23 April 2020
  • Accepted: 30 March 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
Funder
Grant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL
EP/P010741/1
Engineering and Physical Sciences Research Council
EP/K037145/1
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL
EP/K037145/1
Depositing User: Symplectic Sheffield
Date Deposited: 20 May 2020 18:02
Last Modified: 20 May 2020 18:02
Status: Published
Publisher: Frontiers Media SA
Refereed: Yes
Identification Number: 10.3389/fphys.2020.00364
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