title: Kinect v2 based system for Parkinson's disease assessment.
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).
authors.forename: Ana Patricia
authors.initials: AP
authors.lastname: Rocha
authors.forename: Hugo
authors.initials: H
authors.lastname: Choupina
authors.forename: Jose Maria
authors.initials: JM
authors.lastname: Fernandes
authors.forename: Maria Jose
authors.initials: MJ
authors.lastname: Rosas
authors.forename: Rui
authors.initials: R
authors.lastname: Vaz
authors.forename: Joao Paulo
authors.initials: JP
authors.lastname: Silva Cunha
mesh_terms: D046690:Deep Brain Stimulation; D005684:Gait; D006801:Humans; D010300:Parkinson Disease; D020531:Subthalamic Nucleus