Literature DB >> 12204448

RIVCAM: a simple video-based kinematic analysis for clinical disorders of gait.

Andrew J G Churchill1, Peter W Halligan, Derick T Wade.   

Abstract

This paper describes the development of and reports on the accuracy of the Rivermead video-based clinical gait analysis method (RIVCAM), a simple and comparatively inexpensive movement recording system, which operates at 50 Hz. The system comprises five basic steps; firstly subjects are recorded using a PAL video camera with white markers affixed to the leg. Second, the video footage is digitised onto a computer. Thirdly, a program analyses each frame of footage to locate the position of white markers located on the subject's leg. Fourth, the data are calibrated (turned into real world co-ordinates) and the markers on the legs are identified (such as, heel, toe, etc.). Finally, a kinematic analysis is performed on the data, which not only produces a range of relevant spatio-temporal parameters (such as gait velocity, cadence and stride length), but also determines the joint angles at the hip, knee and ankle during the gait cycle. Overall the system has a reasonable constant and variable error; in a recorded scene measuring 2.6 x 1.6 m and divided into a 3 x 3 grid, a 400 mm bar was recorded, on average, as being 401.1 mm with a standard deviation (S.D.) of 2.97 mm. Although not without shortcomings when compared with more expensive and complicated systems, the RIVCAM system represents a valid, reliable and affordable way of collecting objective measures of gait in a busy therapy setting.

Mesh:

Year:  2002        PMID: 12204448     DOI: 10.1016/s0169-2607(01)00191-2

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  4 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.  The Change in Knee Angle during the Gait by Applying Elastic Tape to the Skin.

Authors:  Hiroyuki Yamamoto
Journal:  J Phys Ther Sci       Date:  2014-07-30

3.  Dynamic multi-segmental postural control in patients with chronic non-specific low back pain compared to pain-free controls: A cross-sectional study.

Authors:  Michael A McCaskey; Brigitte Wirth; Corina Schuster-Amft; Eling D de Bruin
Journal:  PLoS One       Date:  2018-04-10       Impact factor: 3.240

Review 4.  A Review of the Evolution of Vision-Based Motion Analysis and the Integration of Advanced Computer Vision Methods Towards Developing a Markerless System.

Authors:  Steffi L Colyer; Murray Evans; Darren P Cosker; Aki I T Salo
Journal:  Sports Med Open       Date:  2018-06-05
  4 in total

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