Literature DB >> 23465758

The evaluation of an inexpensive, 2D, video based gait assessment system for clinical use.

U Chris Ugbolue1, Enrica Papi, Konstantinos T Kaliarntas, Andrew Kerr, Leo Earl, Valerie M Pomeroy, Philip J Rowe.   

Abstract

The purpose of this study was to investigate the clinical potential of an augmented-video-based-portable-system (AVPS). The AVPS included a walkway grid mat made of vinyl flooring, flat paper bull's eye markers, four photoswitches mounted on tripods, a light-indicator, a video camera, and a computer with ProTrainer System software. The AVPS output was compared to a "gold standard" 3D Vicon Motion Analysis System both statically and dynamically over a fixed range (-90° to +90°) using a two-segment-goniometric-rig marked with both bull's eye and retroreflective markers. At each segment angle position, three trials of data were captured. The reliability of the AVPS was also tested using three raters. Further twelve, young, healthy subjects participated in a concurrent validity study in which they performed six gait trials which were simultaneously recorded by both systems. Both motion analysis systems showed low levels of intra subject variability in all kinematic variables indicated by the size of the standard deviations across the six trials. There were no significant differences between the motion systems with respect to the kinematic variables (P>0.05). The results showed a high intra- and inter-rater reliability for both the kinematic and temporo-spatial parameters. With respect to gait events the lowest ICC value for the intra-rater reliability test was 0.993 for the kinematic variables, and ranged from 0.941 to 0.956 for the temporo-spatial variables and 0.731 to 0.954 for the tibia inclination angles. The validation data suggest the AVPS is capable of generating highly reliable and repeatable data when applied to normal subjects and could be used within the clinical setting.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bull's eye marker; Gait; Motion analysis; Reliability; Validity; Video

Mesh:

Year:  2013        PMID: 23465758     DOI: 10.1016/j.gaitpost.2013.01.018

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


  21 in total

1.  Reliability of video-based quantification of the knee- and hip angle at foot strike during running.

Authors:  Camma Damsted; Rasmus Oestergaard Nielsen; Lars Henrik Larsen
Journal:  Int J Sports Phys Ther       Date:  2015-04

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

Authors:  Robert J Saner; Edward P Washabaugh; Chandramouli Krishnan
Journal:  Gait Posture       Date:  2017-04-30       Impact factor: 2.840

3.  Structured Wii protocol for rehabilitation of shoulder impingement syndrome: A pilot study.

Authors:  John-Ross Rizzo; Peter Thai; Edward J Li; Terence Tung; Todd E Hudson; Joseph Herrera; Preeti Raghavan
Journal:  Ann Phys Rehabil Med       Date:  2017-03-15

4.  Gait re-training to alleviate the symptoms of anterior exertional lower leg pain: a case series.

Authors:  David T Breen; John Foster; Eanna Falvey; Andrew Franklyn-Miller
Journal:  Int J Sports Phys Ther       Date:  2015-02

5.  Investigating the Relationships Between Three Important Functional Tasks Early After Stroke: Movement Characteristics of Sit-To-Stand, Sit-To-Walk, and Walking.

Authors:  Elizabeth Ann Chandler; Thomas Stone; Valerie Moyra Pomeroy; Allan Brian Clark; Andrew Kerr; Phillip Rowe; Ukadike Chris Ugbolue; Jessica Smith; Nicola Joanne Hancock
Journal:  Front Neurol       Date:  2021-05-14       Impact factor: 4.003

6.  Lower spinal postural variability during laptop-work in subjects with cervicogenic headache compared to healthy controls.

Authors:  Sarah Mingels; Wim Dankaerts; Ludo van Etten; Liesbeth Bruckers; Marita Granitzer
Journal:  Sci Rep       Date:  2021-03-04       Impact factor: 4.379

7.  A 2D Markerless Gait Analysis Methodology: Validation on Healthy Subjects.

Authors:  Andrea Castelli; Gabriele Paolini; Andrea Cereatti; Ugo Della Croce
Journal:  Comput Math Methods Med       Date:  2015-04-30       Impact factor: 2.238

8.  Spinal postural variability relates to biopsychosocial variables in patients with cervicogenic headache.

Authors:  Sarah Mingels; Wim Dankaerts; Ludo van Etten; Liesbeth Bruckers; Marita Granitzer
Journal:  Sci Rep       Date:  2021-07-02       Impact factor: 4.379

9.  Does stroke location predict walk speed response to gait rehabilitation?

Authors:  P Simon Jones; Valerie M Pomeroy; Jasmine Wang; Gottfried Schlaug; S Tulasi Marrapu; Sharon Geva; Philip J Rowe; Elizabeth Chandler; Andrew Kerr; Jean-Claude Baron
Journal:  Hum Brain Mapp       Date:  2015-11-19       Impact factor: 5.038

10.  Immediate effects of a single session of robot-assisted gait training using Hybrid Assistive Limb (HAL) for cerebral palsy.

Authors:  Mayumi Matsuda; Yuki Mataki; Hirotaka Mutsuzaki; Kenichi Yoshikawa; Kazushi Takahashi; Keiko Enomoto; Kumiko Sano; Masafumi Mizukami; Kazuhide Tomita; Haruka Ohguro; Nobuaki Iwasaki
Journal:  J Phys Ther Sci       Date:  2018-02-20
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