2026-05-22T00:16:53Zhttps://repisalud.isciii.es/rest/oai/request

oai:repisalud.isciii.es:20.500.12105/184542024-02-19T15:30:54Zcom_20.500.12105_15322com_20.500.12105_2051col_20.500.12105_16927

00925njm 22002777a 4500 dc Trinidad-Fernández, Manuel author Cuesta-Vargas, Antonio author Vaes, Peter author Beckwée, David author Moreno, Francisco-Ángel author González-Jiménez, Javier author Fernández-Nebro, Antonio author Manrique-Arija, Sara author Ureña-Garnica, Inmaculada author González-Sánchez, Manuel author 2021-09-01 A 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. Comparation of both systems, required software for camera analysis, outcomes and final results of validity and reliability of each test. 10.1007/s11517-021-02406-x 1741-0444 Medical & biological engineering & computing http://hdl.handle.net/10668/18486 34467447 http://hdl.handle.net/20.500.12105/18454 BASFI Camera Motion capture Spinal mobility Spondyloarthritis Human motion capture for movement limitation analysis using an RGB-D camera in spondyloarthritis: a validation study.