A meta-analysis of cardiac electrophysiology computational models.
Computational models of cardiac electrophysiology are exemplar demonstrations of the integration of multiple data sets into a consistent biophysical framework. These models encapsulate physiological understanding to provide quantitative predictions of function. The combination or extension of existi...
| Main Authors: | , , , |
|---|---|
| Format: | Journal article |
| Language: | English |
| Published: |
2009
|
| _version_ | 1797073115127218176 |
|---|---|
| author | Niederer, SA Fink, M Noble, D Smith, N |
| author_facet | Niederer, SA Fink, M Noble, D Smith, N |
| author_sort | Niederer, SA |
| collection | OXFORD |
| description | Computational models of cardiac electrophysiology are exemplar demonstrations of the integration of multiple data sets into a consistent biophysical framework. These models encapsulate physiological understanding to provide quantitative predictions of function. The combination or extension of existing models within a common framework allows integrative phenomena in larger systems to be investigated. This methodology is now routinely applied, as demonstrated by the increasing number of studies which use or extend previously developed models. In this study, we present a meta-analysis of this model re-use for two leading models of cardiac electrophysiology in the form of parameter inheritance trees, a sensitivity analysis and a comparison of the functional significance of the sodium potassium pump for defining restitution curves. These results indicate that even though the models aim to represent the same physiological system, both the sources of parameter values and the function of equivalent components are significantly different. |
| first_indexed | 2024-03-06T23:17:23Z |
| format | Journal article |
| id | oxford-uuid:6796af03-83e2-48dc-b4e3-c35001db3ce7 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T23:17:23Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | oxford-uuid:6796af03-83e2-48dc-b4e3-c35001db3ce72022-03-26T18:39:18ZA meta-analysis of cardiac electrophysiology computational models.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:6796af03-83e2-48dc-b4e3-c35001db3ce7EnglishSymplectic Elements at Oxford2009Niederer, SAFink, MNoble, DSmith, NComputational models of cardiac electrophysiology are exemplar demonstrations of the integration of multiple data sets into a consistent biophysical framework. These models encapsulate physiological understanding to provide quantitative predictions of function. The combination or extension of existing models within a common framework allows integrative phenomena in larger systems to be investigated. This methodology is now routinely applied, as demonstrated by the increasing number of studies which use or extend previously developed models. In this study, we present a meta-analysis of this model re-use for two leading models of cardiac electrophysiology in the form of parameter inheritance trees, a sensitivity analysis and a comparison of the functional significance of the sodium potassium pump for defining restitution curves. These results indicate that even though the models aim to represent the same physiological system, both the sources of parameter values and the function of equivalent components are significantly different. |
| spellingShingle | Niederer, SA Fink, M Noble, D Smith, N A meta-analysis of cardiac electrophysiology computational models. |
| title | A meta-analysis of cardiac electrophysiology computational models. |
| title_full | A meta-analysis of cardiac electrophysiology computational models. |
| title_fullStr | A meta-analysis of cardiac electrophysiology computational models. |
| title_full_unstemmed | A meta-analysis of cardiac electrophysiology computational models. |
| title_short | A meta-analysis of cardiac electrophysiology computational models. |
| title_sort | meta analysis of cardiac electrophysiology computational models |
| work_keys_str_mv | AT niederersa ametaanalysisofcardiacelectrophysiologycomputationalmodels AT finkm ametaanalysisofcardiacelectrophysiologycomputationalmodels AT nobled ametaanalysisofcardiacelectrophysiologycomputationalmodels AT smithn ametaanalysisofcardiacelectrophysiologycomputationalmodels AT niederersa metaanalysisofcardiacelectrophysiologycomputationalmodels AT finkm metaanalysisofcardiacelectrophysiologycomputationalmodels AT nobled metaanalysisofcardiacelectrophysiologycomputationalmodels AT smithn metaanalysisofcardiacelectrophysiologycomputationalmodels |