Article

The Microsoft Kinect sensor (Kinect) is potentially a low-cost
solution for clinical and home-based assessment of movement symptoms in people
with Parkinson's disease (PD). The purpose of this study was to establish the
accuracy of the Kinect in measuring clinically relevant movements in people with
PD. METHODS: Nine people with PD and 10 controls performed a series of movements
which were measured concurrently with a Vicon three-dimensional motion analysis
system (gold-standard) and the Kinect. The movements included quiet standing,
multidirectional reaching and stepping and walking on the spot, and the following
items from the Unified Parkinson's Disease Rating Scale: hand clasping, finger
tapping, foot, leg agility, chair rising and hand pronation. Outcomes included
mean timing and range of motion across movement repetitions. RESULTS: The Kinect
measured timing of movement repetitions very accurately (low bias, 95% limits of
agreement <10% of the group mean, ICCs >0.9 and Pearson's r>0.9). However, the
Kinect had varied success measuring spatial characteristics, ranging from
excellent for gross movements such as sit-to-stand (ICC=.989) to very poor for
fine movement such as hand clasping (ICC=.012). Despite this, results from the
Kinect related strongly to those obtained with the Vicon system (Pearson's r>0.8)
for most movements. CONCLUSIONS: The Kinect can accurately measure timing and
gross spatial characteristics of clinically relevant movements but not with the
same spatial accuracy for smaller movements, such as hand clasping.
CI - Copyright (c) 2014 The Authors. Published by Elsevier B.V. All rights reserved.

Langue : ANGLAIS