A low-cost 2-D video system can accurately and reliably assess adaptive gait kinematics in healthy and low vision subjects

Zult, Tjerk and Allsop, Jonathan E. and Tabernero, Juan and Pardhan, Shahina (2019) A low-cost 2-D video system can accurately and reliably assess adaptive gait kinematics in healthy and low vision subjects. Scientific Reports, 9. p. 18385. ISSN 2045-2322

[img]
Preview
Text
Published Version
Available under the following license: Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB) | Preview
Official URL: http://dx.doi.org/10.1038/s41598-019-54913-5

Abstract

3-D gait analysis is the gold standard but many healthcare clinics and research institutes would benefit from a system that is inexpensive and simple but just as accurate. The present study examines whether a low-cost 2-D motion capture system can accurately and reliably assess adaptive gait kinematics in subjects with central vision loss, older controls, and younger controls. Subjects were requested to walk up and step over a 10 cm high obstacle that was positioned in the middle of a 4.5 m walkway. Four trials were simultaneously recorded with the Vicon motion capture system (3-D system) and a video camera that was positioned perpendicular to the obstacle (2-D system). The kinematic parameters (crossing height, crossing velocity, foot placement, single support time) were calculated offline. Strong Pearson's correlations were found between the two systems for all parameters (average r = 0.944, all p < 0.001). Bland-Altman analysis showed that the agreement between the two systems was good in all three groups after correcting for systematic biases related to the 2-D marker positions. The test-retest reliability for both systems was high (average ICC = 0.959). These results show that a low-cost 2-D video system can reliably and accurately assess adaptive gait kinematics in healthy and low vision subjects.

Item Type: Journal Article
Faculty: Faculty of Health, Education, Medicine & Social Care
SWORD Depositor: Symplectic User
Depositing User: Symplectic User
Date Deposited: 09 Dec 2019 12:00
Last Modified: 03 Jan 2020 16:08
URI: http://arro.anglia.ac.uk/id/eprint/705027

Actions (login required)

Edit Item Edit Item