Quantification of Experimental and Computational Uncertainties for Medical Devices Using Probabilistic Methods

Uncertainties are inherent to physical testing of medical devices. They need to be accounted for in computational models in order to achieve proper degree of validation. These uncertainties may arise due to various factors like the applied boundary conditions, the behavior measurement and the geometry and material properties of a physical prototype. On the other hand, computational models have different types of uncertainties that are mostly related to modeling assumptions and refinement of the physical phenomena modeled as well as uncertainties with respect to the solver and numerical discretization.