An inverse analysis of the brain cooling process in neonates using the particle filter method

What is it about?

This work deals with the computational simulation and inverse analysis of the cooling treatment of the hypoxic-ischemic encephalopathy in neonates. The main objective is to sequentially estimate the transient temperatures of the brain and other body regions with sufficient accuracy and to assess and reduce the uncertainties associated with such estimates, during systemic cooling of a neonate. The results obtained with simulated temperature measurements revealed that the Particle Filter method was stable and accurate for the estimation of the internal body temperatures, even in situations involving large modelling and measurement uncertainties.

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