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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

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Publisher:
IEEE Publisher's website
Journal:
Computing in Cardiology 2016 Journal website
Pages:
1089-1092
Host title:
2016 Computing in Cardiology Conference (CinC)
Publication date:
2017-03-01
EISSN:
2325-887X
ISSN:
2325-8861
Source identifiers:
689312
ISBN:
9781509008964
Pubs id:
pubs:689312
UUID:
uuid:8c816bc6-e82d-4fbe-b629-ee2ccdfad00f
Local pid:
pubs:689312
Deposit date:
2017-04-28

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