Literature DB >> 28482201

Reliable sagittal plane kinematic gait assessments are feasible using low-cost webcam technology.

Robert J Saner1, Edward P Washabaugh2, Chandramouli Krishnan3.   

Abstract

Three-dimensional (3-D) motion capture systems are commonly used for gait analysis because they provide reliable and accurate measurements. However, the downside of this approach is that it is expensive and requires technical expertise; thus making it less feasible in the clinic. To address this limitation, we recently developed and validated (using a high-precision walking robot) a low-cost, two-dimensional (2-D) real-time motion tracking approach using a simple webcam and LabVIEW Vision Assistant. The purpose of this study was to establish the repeatability and minimal detectable change values of hip and knee sagittal plane gait kinematics recorded using this system. Twenty-one healthy subjects underwent two kinematic assessments while walking on a treadmill at a range of gait velocities. Intraclass correlation coefficients (ICC) and minimal detectable change (MDC) values were calculated for commonly used hip and knee kinematic parameters to demonstrate the reliability of the system. Additionally, Bland-Altman plots were generated to examine the agreement between the measurements recorded on two different days. The system demonstrated good to excellent reliability (ICC>0.75) for all the gait parameters tested on this study. The MDC values were typically low (<5°) for most of the parameters. The Bland-Altman plots indicated that there was no systematic error or bias in kinematic measurements and showed good agreement between measurements obtained on two different days. These results indicate that kinematic gait assessments using webcam technology can be reliably used for clinical and research purposes.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomechanics; Camera systems; Gait tracking; Kinematic analysis; Real-time

Mesh:

Year:  2017        PMID: 28482201      PMCID: PMC5515224          DOI: 10.1016/j.gaitpost.2017.04.030

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


  24 in total

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Journal:  Man Ther       Date:  1999-02

2.  Reliability and Minimal Detectible Change values for gait kinematics and kinetics in healthy adults.

Authors:  Jason M Wilken; Kelly M Rodriguez; Melissa Brawner; Benjamin J Darter
Journal:  Gait Posture       Date:  2011-10-29       Impact factor: 2.840

3.  Minimal detectable change for gait variables collected during treadmill walking in individuals post-stroke.

Authors:  Trisha M Kesar; Stuart A Binder-Macleod; Gregory E Hicks; Darcy S Reisman
Journal:  Gait Posture       Date:  2010-12-22       Impact factor: 2.840

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Journal:  Phys Ther       Date:  1991-06

5.  Repeatability of lower limb three-dimensional kinematics in patients with stroke.

Authors:  Gunes Yavuzer; Oznur Oken; Atilla Elhan; Henk J Stam
Journal:  Gait Posture       Date:  2007-01-25       Impact factor: 2.840

6.  Modulation of leg muscle activity and gait kinematics by walking speed and bodyweight unloading.

Authors:  H J A van Hedel; L Tomatis; R Müller
Journal:  Gait Posture       Date:  2005-08-11       Impact factor: 2.840

7.  Using horizontal heel displacement to identify heel strike instants in normal gait.

Authors:  Jacob J Banks; Wen-Ruey Chang; Xu Xu; Chien-Chi Chang
Journal:  Gait Posture       Date:  2015-03-30       Impact factor: 2.840

8.  Automatic identification of gait events during walking on uneven surfaces.

Authors:  Nils Eckardt; Armin Kibele
Journal:  Gait Posture       Date:  2016-11-18       Impact factor: 2.840

9.  A low cost real-time motion tracking approach using webcam technology.

Authors:  Chandramouli Krishnan; Edward P Washabaugh; Yogesh Seetharaman
Journal:  J Biomech       Date:  2014-12-10       Impact factor: 2.712

10.  Mobility assessment of patients with facioscapulohumeral dystrophy.

Authors:  M Iosa; C Mazzà; R Frusciante; M Zok; I Aprile; E Ricci; A Cappozzo
Journal:  Clin Biomech (Bristol, Avon)       Date:  2007-09-11       Impact factor: 2.063

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  6 in total

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Authors:  Chandramouli Krishnan
Journal:  Gait Posture       Date:  2019-02-23       Impact factor: 2.840

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

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Authors:  Edward P Washabaugh; Chandramouli Krishnan
Journal:  Restor Neurol Neurosci       Date:  2018       Impact factor: 2.406

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Journal:  Exp Gerontol       Date:  2018-07-04       Impact factor: 4.032

5.  2D Gait Skeleton Data Normalization for Quantitative Assessment of Movement Disorders from Freehand Single Camera Video Recordings.

Authors:  Wei Tang; Peter M A van Ooijen; Deborah A Sival; Natasha M Maurits
Journal:  Sensors (Basel)       Date:  2022-06-02       Impact factor: 3.847

6.  Golden Gait: An Optimization Theory Perspective on Human and Humanoid Walking.

Authors:  Marco Iosa; Giovanni Morone; Stefano Paolucci
Journal:  Front Neurorobot       Date:  2017-12-19       Impact factor: 2.650

  6 in total

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