Forward autoregressive modeling for stride process analysis in patients with idiopathic Parkinson's disease

Abstract

In this paper, we derive forward autoregressive models to describe the stochastic process underlying stride interval series related to idiopathic Parkinson's disease. The parameters of the autoregressive model that specify pole locations in the complex z-plane were used as dominant features for the separation of gait series of healthy subjects and patients… (More)
DOI: 10.1109/MeMeA.2015.7145226

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