Kinect v2 Based System for Parkinson's Disease Assessment

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

Rocha, AP (Author) Other; Choupina, H (Author) Other; Fernandes, JM (Author) Other; Rosas, MJ (Author) Other; Vaz, R (Author) Other; Cunha, JPS (Author) FEUP

Conference proceedings International

Title: 2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)

Pages: 1279-1282

37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Milan, ITALY, AUG 25-29, 2015

Indexing

ISI Web of Knowledge - 35 Citations

Scopus - 50 Citations

Other information

Authenticus ID: P-00K-2MP

DOI: 10.1109/embc.2015.7318601

Abstract (EN): 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).

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4