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Hierarchical Bayesian modelling of variability and uncertainty in synthetic action potential traces

Abstract:

There are many sources of uncertainty in the recording and modelling of membrane action potentials (APs) from cardiomyocytes. For example, there are measurement, parameter, and model uncertainties. There is also extrinsic variability between cells, and intrinsic beat-to-beat variability within a single cell. These combined uncertainties and variability make it very difficult to extrapolate predictions from these models, since current AP models have single parameter values and thus produce a s...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Authors


Johnstone, RH More by this author
Bardenet, R More by this author
Gavaghan, DJ More by this author
Polonchuk, L More by this author
Davies, MR More by this author
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Publisher:
IEEE Publisher's website
Pages:
1089-1092
Publication date:
2017-03-01
EISSN:
2325-887X
ISSN:
2325-8861
Pubs id:
pubs:689312
URN:
uri:8c816bc6-e82d-4fbe-b629-ee2ccdfad00f
UUID:
uuid:8c816bc6-e82d-4fbe-b629-ee2ccdfad00f
Local pid:
pubs:689312
ISBN:
9781509008964

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