Literature DB >> 28910654

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

Moataz Eltoukhy1, Christopher Kuenze2, Jeonghoon Oh1, Savannah Wooten1, Joseph Signorile3.   

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 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Microsoft kinect; Postural control; SEBT

Mesh:

Year:  2017        PMID: 28910654     DOI: 10.1016/j.gaitpost.2017.09.010

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  7 in total

1.  Vision-based gait impairment analysis for aided diagnosis.

Authors:  Javier Ortells; María Trinidad Herrero-Ezquerro; Ramón A Mollineda
Journal:  Med Biol Eng Comput       Date:  2018-02-12       Impact factor: 2.602

2.  Validation of a Commercially Available Markerless Motion-Capture System for Trunk and Lower Extremity Kinematics During a Jump-Landing Assessment.

Authors:  Timothy C Mauntel; Kenneth L Cameron; Brian Pietrosimone; Stephen W Marshall; Anthony C Hackney; Darin A Padua
Journal:  J Athl Train       Date:  2021-01-22       Impact factor: 2.860

3.  Lower Extremity Kinematics of the Y-Balance Test in Healthy and ACL Injured Adolescent Females.

Authors:  Alison Bulow; Alixandra Bellemare; Judy E Anderson; Jeff R S Leiter; Peter B MacDonald; Jason D Peeler
Journal:  Int J Sports Phys Ther       Date:  2021-04-01

4.  A Depth Camera-Based, Task-Specific Virtual Reality Rehabilitation Game for Patients With Stroke: Pilot Usability Study.

Authors:  Yangfan Xu; Meiqinzi Tong; Wai-Kit Ming; Yangyang Lin; Wangxiang Mai; Weixin Huang; Zhuoming Chen
Journal:  JMIR Serious Games       Date:  2021-03-24       Impact factor: 4.143

Review 5.  A SWOT Analysis of Portable and Low-Cost Markerless Motion Capture Systems to Assess Lower-Limb Musculoskeletal Kinematics in Sport.

Authors:  Cortney Armitano-Lago; Dominic Willoughby; Adam W Kiefer
Journal:  Front Sports Act Living       Date:  2022-01-25

6.  Validity of the frame subtraction method in dynamic postural stability.

Authors:  Megumi Ota; Hiroshige Tateuchi; Takaya Hashiguchi; Karen Fujiwara; Ayano Sasaki; Kiseki Okumura; Noriaki Ichihashi
Journal:  BMC Sports Sci Med Rehabil       Date:  2022-09-26

7.  Detection of Postural Control in Young and Elderly Adults Using Deep and Machine Learning Methods with Joint-Node Plots.

Authors:  Posen Lee; Tai-Been Chen; Chi-Yuan Wang; Shih-Yen Hsu; Chin-Hsuan Liu
Journal:  Sensors (Basel)       Date:  2021-05-05       Impact factor: 3.576

  7 in total

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