Identifying personalized parameters for left ventricle model of the heart
COMSATS University Islamabad, Abbottabad Campus, Pakistan
Accepted: 13 September 2020
Published online: 24 September 2020
Patient-specific computational models of the human heart are important in understanding the heart hemodynamics which eventually help in improving clinical treatments. In order to develop a personalized model of the human heart, it is essential to identify personalized heart parameters which further can be measured directly or indirectly from the patient data or measurements. Within this work, we considered an existing low-dimensional (0D) model of the left ventricle (LV) and applied global sensitivity analysis (Sobol’s method) to identify the personalized heart parameters. Based on the results of sensitivity analysis, we observed that the identification of personalized heart parameters for all output quantities of interest is different. A complete summary of personalized heart parameters for each output quantities of interest is given at the end of this paper. The study is useful for experimentalists to develop patient-specific/personalized model(s) of LV by measuring/estimating personalized (key) heart parameters in complement with the patient data.
© Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2020