Application of neuronets for motor disturbance assessment in patients with Parkinson disease using video capture technology in virtual reality

The lack of objective methods which can evaluate clinical manifestations of Parkinson disease (PD) provided the basis for this work, which describes motor disorders in patients with PD using the video capture technology in virtual reality and machine learning algorithms. The aim of the paper is to analyze the accuracy of the technology for neurological symptom diagnostics by analyzing movement trajectories using machine learning algorithms. Materials and Methods. The study involved 30 patients (21 women and 9 men) aged 45-83 (mean age 69±7), suffering from PD for 6±3 years. In our sample the disease state (according to Hoehn-Yahr scale) ranged from 1 to 3 (40 % of patients - stage 1; 37 % - stage 2; 23 % - stage 3). The comparison group consisted of 20 relatively healthy volunteers and was comparable with the main group in sex and age (mean age 57±15). The trial subjects were examined on a virtual platform “Round Earth" using Epson Moverio BT-200 glasses (Microsoft Kinect)...