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Journal article

Modelling variability in cardiac electrophysiology: a moment-matching approach.

Abstract:

The variability observed in action potential (AP) cardiomyocyte measurements is the consequence of many different sources of randomness. Often ignored, this variability may be studied to gain insight into the cell ionic properties. In this paper, we focus on the study of ionic channel conductances and describe a methodology to estimate their probability density function (PDF) from AP recordings. The method relies on the matching of observable statistical moments and on the maximum entropy pri...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1098/rsif.2017.0238

Authors


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Role:
Author
ORCID:
0000-0002-1709-2787
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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
St Cross College
Role:
Author
ORCID:
0000-0002-3435-7388
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Role:
Author
ORCID:
0000-0002-4522-4329
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Name:
European Commission
Grant:
675451
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Name:
Engineering and Physical Sciences Research Council
Grant:
EP/K503769/1
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Name:
Welcome Trust
Grant:
100246/Z/ 12/Z
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Name:
French Ministry of Research and Higher Education
Grant:
Doctoral grant
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Name:
British Heart Foundation
Grant:
RE/13/1/30181
Publisher:
Royal Society
Journal:
Journal of the Royal Society, Interface More from this journal
Volume:
14
Issue:
133
Pages:
20170238
Publication date:
2017-08-01
Acceptance date:
2017-08-02
DOI:
EISSN:
1742-5689
ISSN:
1742-5662
Pmid:
28835541
Language:
English
Keywords:
Pubs id:
pubs:725912
UUID:
uuid:6ad8634e-d03c-4c24-a5c1-2c50744e4588
Local pid:
pubs:725912
Source identifiers:
725912
Deposit date:
2018-03-07

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