Bayesian Calibration of Electrophysiology Models Using Restitution Curve Emulators
Calibration of cardiac electrophysiology models is a fundamental aspect of model personalization for predicting the outcomes of cardiac therapies, simulation testing of device performance for a range of phenotypes, and for fundamental research into cardiac function. Restitution curves provide inform...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-07-01
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| Series: | Frontiers in Physiology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fphys.2021.693015/full |
| _version_ | 1819114245386665984 |
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| author | Sam Coveney Cesare Corrado Jeremy E. Oakley Richard D. Wilkinson Steven A. Niederer Richard H. Clayton |
| author_facet | Sam Coveney Cesare Corrado Jeremy E. Oakley Richard D. Wilkinson Steven A. Niederer Richard H. Clayton |
| author_sort | Sam Coveney |
| collection | DOAJ |
| description | Calibration of cardiac electrophysiology models is a fundamental aspect of model personalization for predicting the outcomes of cardiac therapies, simulation testing of device performance for a range of phenotypes, and for fundamental research into cardiac function. Restitution curves provide information on tissue function and can be measured using clinically feasible measurement protocols. We introduce novel “restitution curve emulators” as probabilistic models for performing model exploration, sensitivity analysis, and Bayesian calibration to noisy data. These emulators are built by decomposing restitution curves using principal component analysis and modeling the resulting coordinates with respect to model parameters using Gaussian processes. Restitution curve emulators can be used to study parameter identifiability via sensitivity analysis of restitution curve components and rapid inference of the posterior distribution of model parameters given noisy measurements. Posterior uncertainty about parameters is critical for making predictions from calibrated models, since many parameter settings can be consistent with measured data and yet produce very different model behaviors under conditions not effectively probed by the measurement protocols. Restitution curve emulators are therefore promising probabilistic tools for calibrating electrophysiology models. |
| first_indexed | 2024-12-22T04:42:14Z |
| format | Article |
| id | doaj.art-3d1836ee08ae461a9f0a138c37236bea |
| institution | Directory Open Access Journal |
| issn | 1664-042X |
| language | English |
| last_indexed | 2024-12-22T04:42:14Z |
| publishDate | 2021-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physiology |
| spelling | doaj.art-3d1836ee08ae461a9f0a138c37236bea2022-12-21T18:38:42ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2021-07-011210.3389/fphys.2021.693015693015Bayesian Calibration of Electrophysiology Models Using Restitution Curve EmulatorsSam Coveney0Cesare Corrado1Jeremy E. Oakley2Richard D. Wilkinson3Steven A. Niederer4Richard H. Clayton5Insigneo Institute for In-Silico Medicine and Department of Computer Science, University of Sheffield, Sheffield, United KingdomDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, United KingdomSchool of Mathematics and Statistics, University of Sheffield, Sheffield, United KingdomSchool of Mathematical Sciences, University of Nottingham, Nottingham, United KingdomDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, United KingdomInsigneo Institute for In-Silico Medicine and Department of Computer Science, University of Sheffield, Sheffield, United KingdomCalibration of cardiac electrophysiology models is a fundamental aspect of model personalization for predicting the outcomes of cardiac therapies, simulation testing of device performance for a range of phenotypes, and for fundamental research into cardiac function. Restitution curves provide information on tissue function and can be measured using clinically feasible measurement protocols. We introduce novel “restitution curve emulators” as probabilistic models for performing model exploration, sensitivity analysis, and Bayesian calibration to noisy data. These emulators are built by decomposing restitution curves using principal component analysis and modeling the resulting coordinates with respect to model parameters using Gaussian processes. Restitution curve emulators can be used to study parameter identifiability via sensitivity analysis of restitution curve components and rapid inference of the posterior distribution of model parameters given noisy measurements. Posterior uncertainty about parameters is critical for making predictions from calibrated models, since many parameter settings can be consistent with measured data and yet produce very different model behaviors under conditions not effectively probed by the measurement protocols. Restitution curve emulators are therefore promising probabilistic tools for calibrating electrophysiology models.https://www.frontiersin.org/articles/10.3389/fphys.2021.693015/fullrestitutionelectrophysiologycardiologyGaussian processesemulationsensitivity analysis |
| spellingShingle | Sam Coveney Cesare Corrado Jeremy E. Oakley Richard D. Wilkinson Steven A. Niederer Richard H. Clayton Bayesian Calibration of Electrophysiology Models Using Restitution Curve Emulators Frontiers in Physiology restitution electrophysiology cardiology Gaussian processes emulation sensitivity analysis |
| title | Bayesian Calibration of Electrophysiology Models Using Restitution Curve Emulators |
| title_full | Bayesian Calibration of Electrophysiology Models Using Restitution Curve Emulators |
| title_fullStr | Bayesian Calibration of Electrophysiology Models Using Restitution Curve Emulators |
| title_full_unstemmed | Bayesian Calibration of Electrophysiology Models Using Restitution Curve Emulators |
| title_short | Bayesian Calibration of Electrophysiology Models Using Restitution Curve Emulators |
| title_sort | bayesian calibration of electrophysiology models using restitution curve emulators |
| topic | restitution electrophysiology cardiology Gaussian processes emulation sensitivity analysis |
| url | https://www.frontiersin.org/articles/10.3389/fphys.2021.693015/full |
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