Quantitative analysis in the digital Luria's alternating series tests

Abstract

The focus of the present research is on the kinematic features describing performance of the tested individual during the digital Lora's alternating series tests. First goal is to demonstrate that the features computed for the Parkinson Disease patients differ from those of healthy individuals. The secondary goal is to find the subset of features allowing to distinguish disorders on the level of motion planning from those on the level of motion execution. There are two novel properties of the proposed approach, which distinguish it from the previously published techniques. The first one is, that digital Luria's alternating series tests consist of different exercises targeted to distinguish disorders on the different levels, planning the motion and executing the motion. The second one is, that the set of kinematic features which is usually used in this area will be complimented by Motion Mass parameters describing amount and smoothness of the motion.