IDENTIFIABILITY OF THE PARAMETERS OF A NONLINEAR MODEL OF THE CEREBROSPINAL FLUID SYSTEM

摘要

Accurate estimates of the compliance and outflow resistance of the human cerebrospinal fluid system are important for diagnosis of a medical condition known as hydrocephalus. In this paper we study the mathematical structure of a commonly used nonlinear model, and determine what classes of inputs are required to identify its parameters. We show theoretical and simulation results supporting a claim that it is possible to greatly improve on the inputs used in current clinical practice.