We have developed novel, physics-based methods for calibrating pulse wave models, grounded in a comprehensive understanding of the haemodynamic mechanisms underpinning pulse wave signals. Our methods can be categorised into two groups: (i) the calibration of patient-specific 1-D/0-D blood flow models and (ii) the calibration of population-specific pulse wave datasets for thousands of virtual subjects.

Our contributions to patient-specific calibration of 1-D/0-D blood flow models include:

1. Creating a methodology to reduce the number of arterial segments (and hence input parameters) required to accuretly simulate blood pressure and flow waveforms at arbitrary sites in a given arterial network using nonlinear 1-D modelling (J R Soc Interface, 2018, Am J Physiol, 2015);

2. Developing physics-based methods for estimating mechanical properties of the arterial wall (J Eng Math, 2012);


3. Developing methods for calibrating 0-D outflow Windkessel models from data that can be measured in vivo (J R Soc Interface, 2016; Int J Numer Meth Biomed Engng, 2014; Commun Comput Phys, 2008).