Research Advances in Multimodality Imaging of Alzheimer Disease
Alzheimer disease(AD) is a neurodegenerative disease of the brain associated with irreversible cognitive decline,behavioral changes,and memory impairment.The pathogenesis of AD is unknown,and autopsy results revealed that the main pathological features of AD is β-amyloid deposition,neurofibrillary tangles and senile plaques,etc.Multimodality imaging techniques can assess the structure,function and metabolism of AD,and it is beneficial to the further study of early diagnosis and pathophysiology of AD.Here is to make a review of the multimodality imaging research advances in AD.
This paper deals with the problem of state estimation for perturbed output nonlinear systems. A multiple models approach is used to describe such class of systems. Then a structure of Lyapunov based sliding mode multiple observer is presented. The stability proof of the observer is ensured by a suitable choice of estimation gains which are solutions of a set Linear Matrix Inequalities(LMI). The simulation results for the denitrification application demonstrate the effectiveness of the developed estimator scheme.