Citation

Eltoukhy M, Kuenze C, Oh J, Wooten S, Signorile J. Gait Posture 2017; 58: 421-427.

Affiliation

Department of Kinesiology and Sport Sciences, School of Education & Human Development, University of Miami, Coral Gables, FL 33143, USA; Center on Aging, Miller School of Medicine,1695 N.W. 9th Avenue, Suite 3204, Miami, FL, 33136, USA. Electronic address: jsignorile@miami.edu.

Copyright

(Copyright © 2017, Elsevier Publishing)

DOI

10.1016/j.gaitpost.2017.09.010

PMID

28910654

Abstract

Assessments using dynamic postural control tests, like the Star Excursion Balance Test (SEBT), in combination with three-dimensional (3D) motion analysis can yield critical information regarding a subject's lower limb movement patterns. 3D analysis can provide a clear understanding of the mechanisms that lead to specific outcome measures on the SEBT. Currently, the only technology for 3D motion analysis during such tests is expensive marker-based motion analysis systems, which are impractical for use in clinical settings. In this study we validated the use of the Microsoft Kinect as a cost-effective and marker-less alternative to more complex and expensive gold-standard motion analysis systems. Ten healthy subjects performed the SEBT while their lower limb kinematics were measured concurrently using a traditional motion capture system and a single Kinect v2 sensor. Analyses revealed errors in lower limb kinematics of less than 5°, except for the knee frontal-plane angle (5.7°) in the posterior-lateral direction. Ensemble curve analyses supported these findings, showing minimal between-system differences in all directions. Additionally, we found that the Kinect displayed excellent agreement (ICC3,k=0.99) and consistency (ICC2,k=0.99) when assessing reach distances in all directions. These results indicate that this low-cost and easy to implement technology may provide to clinicians a simple tool to simultaneously assess reach distances while developing a clearer understanding of the lower extremity movement patterns associated with SEBT performance in healthy and injured populations.

Copyright © 2017. Published by Elsevier B.V.

Language: en

Keywords

Microsoft kinect; Postural control; SEBT