Author:
Trinidad-Fernández Manuel,Cuesta-Vargas Antonio,Vaes Peter,Beckwée David,Moreno Francisco-Ángel,González-Jiménez Javier,Fernández-Nebro Antonio,Manrique-Arija Sara,Ureña-Garnica Inmaculada,González-Sánchez Manuel
Abstract
AbstractA human motion capture system using an RGB-D camera could be a good option to understand the trunk limitations in spondyloarthritis. The aim of this study is to validate a human motion capture system using an RGB-D camera to analyse trunk movement limitations in spondyloarthritis patients. Cross-sectional study was performed where spondyloarthritis patients were diagnosed with a rheumatologist. The RGB-D camera analysed the kinematics of each participant during seven functional tasks based on rheumatologic assessment. The OpenNI2 library collected the depth data, the NiTE2 middleware detected a virtual skeleton and the MRPT library recorded the trunk positions. The gold standard was registered using an inertial measurement unit. The outcome variables were angular displacement, angular velocity and lineal acceleration of the trunk. Criterion validity and the reliability were calculated. Seventeen subjects (54.35 (11.75) years) were measured. The Bending task obtained moderate results in validity (r = 0.55–0.62) and successful results in reliability (ICC = 0.80–0.88) and validity and reliability of angular kinematic results in Chair task were moderate and (r = 0.60–0.74, ICC = 0.61–0.72). The kinematic results in Timed Up and Go test were less consistent. The RGB-D camera was documented to be a reliable tool to assess the movement limitations in spondyloarthritis depending on the functional tasks: Bending task. Chair task needs further research and the TUG analysis was not validated.
Graphical abstract
Comparation of both systems, required software for camera analysis, outcomes and final results of validity and reliability of each test.
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Reference38 articles.
1. Boonen A, Sieper J, van der Heijde D, Dougados M, Bukowski JF, Valluri S et al (2015) The burden of non-radiographic axial spondyloarthritis. Semin Arthritis Rheum 44:556–562
2. Stolwijk C, van Onna M, Boonen A, van Tubergen A (2016) Global prevalence of spondyloarthritis: a systematic review and meta-regression analysis. Arthritis Care Res 68:1320–1331
3. Braun J, Sieper J (2012) Classification, diagnosis, and referral of patients with axial spondyloarthritis. Rheum Dis Clin N Am 38:477–485
4. Mau W, Zeidler H, Mau R, Majewski A, Freyschmidt J, Stangel W et al (1988) Clinical features and prognosis of patients with possible ankylosing spondylitis. Results of a 10-year followup. J Rheumatol. 15:1109–14
5. Jois RN, Macgregor AJ, Gaffney K (2008) Recognition of inflammatory back pain and ankylosing spondylitis in primary care. Rheumatol Oxf Engl 47:1364–1366
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