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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/23028

Title: A kinematic algorithm to identify gait events during running at different speeds and with different footstrike types
Authors: Handsaker, Joe C.
Forrester, Stephanie E.
Folland, Jonathan P.
Black, Matt I.
Allen, Samuel J.
Keywords: Running
Ground contact time
Touchdown
Toe-off
Issue Date: 2016
Publisher: © Elsevier
Citation: HANSACKER, J.C., 2016. A kinematic algorithm to identify gait events during running at different speeds and with different footstrike types. Journal of Biomechanics, 49 (16), pp. 4128-4133.
Abstract: Although a number of algorithms exist for estimating ground contact events (GCEs) from kinematic data during running, they are typically only applicable to heelstrike running, or have only been evaluated at a single running speed. The purpose of this study was to investigate the accuracy of four kinematics-based algorithms to estimate GCEs over a range of running speeds and footstrike types. Subjects ran over a force platform at a range of speeds; kinetic and kinematic data was captured at 1000 Hz, and kinematic data was downsampled to 250 Hz. A windowing process initially identified reduced time windows containing touchdown and toe-off. Algorithms based on acceleration and jerk signals of the foot markers were used to estimate touchdown (2 algorithms), toe-off (2 algorithms), and ground contact time (GCT) (4 algorithms), and compared to synchronous ‘gold standard’ force platform data. An algorithm utilising the vertical acceleration peak of either the heel or first metatarsal marker (whichever appeared first) for touchdown, and the vertical jerk peak of the hallux marker for toe-off, resulted in the lowest offsets (+3.1 ms, 95% Confidence Interval (CI): -11.8 to +18.1 ms; and +2.1 ms, CI: -8.1 to +12.2 ms respectively). This method also resulted in the smallest offset in GCT (-1.1 ms, CI: -18.6 to +16.4 ms). Offsets in GCE and GCT estimates from all algorithms were typically negatively correlated to running speed, with offsets decreasing as speed increased. Assessing GCEs and GCT using this method may be useful when a force platform is unavailable or impractical.
Description: This paper is in closed access until 19th Oct 2017.
Version: Accepted for publication
DOI: 10.1016/j.jbiomech.2016.10.013
URI: https://dspace.lboro.ac.uk/2134/23028
Publisher Link: http://dx.doi.org/10.1016/j.jbiomech.2016.10.013
ISSN: 1873-2380
Appears in Collections:Closed Access (Sport, Exercise and Health Sciences)

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