Improved statistical emulation for a soft-tissue cardiac mechanical model

Dalton, D. and Husmeier, D. (2020) Improved statistical emulation for a soft-tissue cardiac mechanical model. In: Irigoien, I., Lee, D.-J., Martínez-Minaya, J. and Rodríguez-Álvarez, M. X. (eds.) Proceedings of the 35th International Workshop on Statistical Modelling. Servicio Editorial de la Universidad del País Vasco: Bilbao, Spain, pp. 55-60. ISBN 9788413192673

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Abstract

This paper outlines a new approach to emulation based parameter inference in a cardiac mechanic model of the left ventricle (LV) of the heart that allows for prediction uncertainty to be accounted for. The emulation is performed using Gaussian processes, which are designed to build on the results of previous research in this area. This approach yields more accurate parameter estimates than previously reported in the literature.

Item Type:Book Sections
Keywords:Cardiac modelling, Holzapfel-Ogden law, statistical emulation.
Status:Published
Glasgow Author(s) Enlighten ID:Dalton, David and Husmeier, Professor Dirk
Authors: Dalton, D., and Husmeier, D.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Publisher:Servicio Editorial de la Universidad del País Vasco
ISBN:9788413192673
Copyright Holders:Copyright © 2020 Servicio Editorial de la Universidad del País Vasco Euskal Herriko Unibertsitateko Argitalpen Zerbitzua
First Published:First published in Proceedings of the 35th International Workshop on Statistical Modelling. Volume 1: 55-60
Publisher Policy:Reproduced in accordance with the publisher copyright policy
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
303232EPSRC Centre for Multiscale soft tissue mechanics with MIT and POLIMI (SofTMech-MP)Xiaoyu LuoEngineering and Physical Sciences Research Council (EPSRC)EP/S030875/1M&S - Mathematics
305655Inference of cardio-mechanical parameters in real time: moving mathematical modelling into the clinicDirk HusmeierThe Royal Society of Edinburgh (ROYSOCED)62335M&S - Statistics