Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/4463
Title: Kinect v2 Based System for Parkinson's Disease Assessment
Authors: Rocha,AP
Hugo Miguel Choupina
Fernandes,JM
Rosas,MJ
Vaz,R
João Paulo Cunha
Issue Date: 2015
Abstract: Human motion analysis can provide valuable information for supporting the clinical assessment of movement disorders, such as Parkinson's disease (PD). In this contribution, we study the suitability of a Kinect v2 based system for supporting PD assessment in a clinical environment, in comparison to the original Kinect (v1). In this study, 3-D body joint data were acquired from both normal subjects, and PD patients treated with deep brain stimulation (DBS). Then, several gait parameters were extracted from the gathered data. The obtained results show that 96% of the considered parameters are appropriate for distinguishing between non-PD subjects, PD patients with DBS stimulator switched on, and PD patients with stimulator switched off (p-value < 0.001, Kruskal-Wallis test). These results are markedly better than the ones obtained using Kinect v1, where only 73% of the parameters are considered appropriate (p-value < 0.001).
URI: http://repositorio.inesctec.pt/handle/123456789/4463
http://dx.doi.org/10.1109/embc.2015.7318601
metadata.dc.type: conferenceObject
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