Lower limb kinematic, kinetic and spatial-temporal gait data for healthy adults using a self-paced treadmill
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Published version
Author(s)
Bahadori, Shayan
Williams, Jonathan Mark
Wainwright, Thomas W
Type
Journal Article
Abstract
Through gait analysis, gait phases can be identified, the kinematic and kinetic parameters of human gait events can be determined, and quantitative evaluation can be undertaken. This data article is the first to report a comprehensive data set on a large cohort of healthy participants. Individual strides were determined from vertical force data and all kinematics and kinetic data separated into strides. Local minima and maxima were determined respectively for each anatomical region and the mean calculated for twenty of the 25 strides. When twenty strides were not available the mean of ten strides was used. Stride data were time normalised so one stride was represented by 100%. In addition to the local maxima and minima, the kinematic- and kinetic-time curves were explored and used to determine the mean kinematic-time and kinetic-time curves across all trials and participants (∼1800 gait cycles) to provide mean±sd kinematic- and kinetic-time curves for each of the anatomical regions.
Date Issued
2021-02
Date Acceptance
2020-11-26
Citation
Data in Brief, 2021, 34, pp.1-10
ISSN
2352-3409
Publisher
Elsevier BV
Start Page
1
End Page
10
Journal / Book Title
Data in Brief
Volume
34
Copyright Statement
2352-3409/© 2020 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license
(http://creativecommons.org/licenses/by/4.0/)
(http://creativecommons.org/licenses/by/4.0/)
License URL
Identifier
http://dx.doi.org/10.1016/j.dib.2020.106613
Publication Status
Published
Article Number
106613
Date Publish Online
2020-12-09