Chapter 11. Physiological Measurement Dynamic Neural Network Analysis of Cerebral Blood Flow Autoregulation

Introduction The dynamic relationship between arterial blood pressure (ABP) and cerebral blood flow velocity (CBFV) has been used as an expression of the autoregulatory capacity of the cerebral circulation. Linear frequencyand time-domain techniques have been applied to model this relationship, but non-linear approaches remain relatively unexplored. We hypothesize that a recurrent neural network should provide superior results in terms of model performance.