Kinect v2 Based System for Parkinson's Disease Assessment

dc.contributor.author Rocha,AP en
dc.contributor.author Hugo Miguel Choupina en
dc.contributor.author Fernandes,JM en
dc.contributor.author Rosas,MJ en
dc.contributor.author Vaz,R en
dc.contributor.author João Paulo Cunha en
dc.date.accessioned 2017-12-20T14:44:05Z
dc.date.available 2017-12-20T14:44:05Z
dc.date.issued 2015 en
dc.description.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). en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/4463
dc.identifier.uri http://dx.doi.org/10.1109/embc.2015.7318601 en
dc.language eng en
dc.relation 5864 en
dc.relation 5996 en
dc.rights info:eu-repo/semantics/embargoedAccess en
dc.title Kinect v2 Based System for Parkinson's Disease Assessment en
dc.type conferenceObject en
dc.type Publication en
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