Idiopathic intracranial hypertension (IIH) is a syndrome of unknown etiology characterized by elevated intracranial pressure (ICP). Although a stenosis of the transverse sinus has been observed in many IIH patients, the role this feature plays in IIH is in dispute. In this paper, a lumped-parameter model is developed for the purpose of analytically investigating the elevated pressures associated with IIH and a collapsible transverse sinus. This analysis yields practical predictions regarding the degree of elevated ICPs and the effectiveness of various treatment methods. Results suggest that IIH may be caused by a sufficiently collapsible transverse sinus, but it is also possible that a stenosed sinus may persist following resolution of significant intracranial hypertension.
This paper develops an algorithm that can be used to solve the data association problem faced by a surveillance aircraft using Direction of Arrival angle measurements to locate a stationary RF signal source. The algorithm is based on statistical clustering of measurements with clusters being formed using a Mahalanobis distance association criterion. This approach accounts for angle measurement error statistics and avoids the computational complexity of an exhaustive combinatorial assignment. The optimal cluster is the one that maximized the target position log-likelihood function. This cluster is used to compute a target position estimate then removed from the set of measurements. The process is repeated until no additional clusters can be formed. Simulation results are shown where 100 measurements are distributed randomly across 7 target signal sources.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.