Analysis and Visualization of 3D Motion Data for UPDRS Rating of Patients with Parkinson's Disease.

ABSTRACT: Remote monitoring of Parkinson's Disease (PD) patients with inertia sensors is a relevant method for a better assessment of symptoms. We present a new approach for symptom quantification based on motion data: the automatic Unified Parkinson Disease Rating Scale (UPDRS) classification in combination with an animated 3D avatar giving the neurologist the impression of having the patient live in front of him. In this study we compared the UPDRS ratings of the pronation-supination task derived from: (a) an examination based on video recordings as a clinical reference; (b) an automatically classified UPDRS; and (c) a UPDRS rating from the assessment of the animated 3D avatar. Data were recorded using Magnetic, Angular Rate, Gravity (MARG) sensors with 15 subjects performing a pronation-supinatio

SUBMITTER: Piro NE 

PROVIDER: S-EPMC4934355 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature