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Project

Development of a multivariable nonlinear framework for cerebral autoregulation monitoring using Near-Infrared Spectroscopy.

The aim of this project is to provide a framework for the use of near Infrared Spectroscopy (NIRS) measurements for online monitoring of cerebral autoregulation (CA) in neonates in clinical practice. Studies of CA using NIRS have applied linear univariate approaches leading to inconclusive result. Improvement of the performance of these methods can be achieved through the use of nonlinear multivariate methods. However, the interpretation of the results given by nonlinear methodologies, in terms of the physiology of the underlying processes involved in CA, is challenging. An adequate framework that facilitates this interpretation is yet to be proposed. Moreover, NIRS signals are highly sensitive to changes in arterial oxygen saturation (SaO2), which limits the use of NIRS for online monitoring of CA. Online monitoring of CA using NIRS will require a robust preprocessing stage where the influence of variations in other systemic variables is decoupled from the NIRS signals.
Date:1 Oct 2013 →  30 Sep 2014
Keywords:Cerebral Autoregulation, Neonates, Multivariable, Nonlinear, Near Infrared Spectroscopy
Disciplines:Modelling, Multimedia processing