Kinect-based assessment of lower limb kinematics and dynamic postural control during the star excursion balance test

• Published in: Gait & posture Vol. 58; no. NA; pp. 421 - 427
• Main Authors: Eltoukhy, Moataz, Kuenze, Christopher, Oh, Jeonghoon, Wooten, Savannah, Signorile, Joseph
• Format: Journal Article
• Language: English
• Published: England Elsevier B.V 01.10.2017
• Subjects: Adult; Biomechanical Phenomena; Female; Humans; Lower Extremity - physiology; Male; Microsoft kinect; Postural Balance - physiology; Postural control; SEBT; Time and Motion Studies; Microsoft kinect; Postural control; SEBT
• ISSN: 0966-6362; 1879-2219; 1879-2219
• DOI: 10.1016/j.gaitpost.2017.09.010

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.