Conference item
Hierarchical Bayesian modelling of variability and uncertainty in synthetic action potential traces
- Abstract:
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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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(Version of record, pdf, 560.5KB)
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Authors
Bibliographic Details
- 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:
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2325-887X
- ISSN:
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2325-8861
- Source identifiers:
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689312
- ISBN:
- 9781509008964
Item Description
- Pubs id:
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pubs:689312
- UUID:
-
uuid:8c816bc6-e82d-4fbe-b629-ee2ccdfad00f
- Local pid:
- pubs:689312
- Deposit date:
- 2017-04-28
Terms of use
- Copyright holder:
- Johnstone et al
- Copyright date:
- 2017
- Notes:
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Copyright © 2017 Johnstone et al. This article is licenced under the Creative Commons Attribution License
2.5 (CCAL).
- Licence:
- CC Attribution (CC BY)
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