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Evaluation of Spinal Posture Using Microsoft Kinect™: A Preliminary Case-study with 98 Volunteers

Overview
Journal Porto Biomed J
Publisher Wolters Kluwer
Date 2020 Apr 8
PMID 32258579
Citations 4
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Abstract

This work proposes a novel approach to assess spinal curvature, by using Microsoft's Kinect™ to obtain 3D reconstructed models of subject's dorsal skin surface in different postures. This method is non-invasive, radiation-free and low-cost. The trial tests here presented intended to evaluate the reliability of this approach, by assessing the tendency of 98 volunteers to present scoliosis. The shoulder height difference was calculated for each subject's scan, by quantifying the angular slope of a line crossing both scapulae. The volunteers' average age was 24.7 years. Results showed that 68.37% of the volunteers revealed differences higher than 1° between the shoulders, having that their record in what concerns to loads and lesions proved to increase the angular slope. This initial approach shall establish the grounds for assessing spinal posture in pre-clinical or industrial ergonomics scans. Further studies shall include comparison versus traditional imaging methods and experienced clinical evaluation.

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References
1.
Castro A, Paul C, Detiger S, Smit T, van Royen B, Pimenta Claro J . Long-Term Creep Behavior of the Intervertebral Disk: Comparison between Bioreactor Data and Numerical Results. Front Bioeng Biotechnol. 2014; 2:56. PMC: 4239653. DOI: 10.3389/fbioe.2014.00056. View

2.
Ranavolo A, Don R, Draicchio F, Bartolo M, Serrao M, Padua L . Modelling the spine as a deformable body: Feasibility of reconstruction using an optoelectronic system. Appl Ergon. 2012; 44(2):192-9. DOI: 10.1016/j.apergo.2012.07.004. View

3.
Boisvert J, Cheriet F, Pennec X, Labelle H, Ayache N . Geometric variability of the scoliotic spine using statistics on articulated shape models. IEEE Trans Med Imaging. 2008; 27(4):557-68. DOI: 10.1109/TMI.2007.911474. View

4.
Stokes I, Aronson D, Ronchetti P, Labelle H, Dansereau J . Reexamination of the Cobb and Ferguson angles: bigger is not always better. J Spinal Disord. 1993; 6(4):333-8. DOI: 10.1097/00002517-199306040-00007. View

5.
Dutta T . Evaluation of the Kinect™ sensor for 3-D kinematic measurement in the workplace. Appl Ergon. 2011; 43(4):645-9. DOI: 10.1016/j.apergo.2011.09.011. View