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Validation of gait event detection by centre of pressure during target stepping in healthy and paretic gait

Van der veen, S; Hammerbeck, U; Baker, RJ; Hollands, KL

Validation of gait event detection by centre of pressure during target stepping in healthy and paretic gait Thumbnail


Authors

S Van der veen

U Hammerbeck

RJ Baker

KL Hollands



Abstract

Background: Target-stepping paradigms are increasingly used to assess and train gait adaptability. Accurate gait-event detection (GED) is key to locating targets relative to the ongoing step cycle as well as measuring foot-placement error. In the current literature GED is either
based on kinematics or centre of pressure (CoP), and both have been previously validated with young healthy individuals. However, CoP based GED has not been validated for stroke survivors who demonstrate altered
CoP pattern.
Methods: Young healthy adults and individuals affected by stroke stepped to targets on a treadmill, while gait events were measured using three detection methods; verticies of CoP cyclograms, and two kinematic criteria, 1) vertical velocity and position and of the heel marker, 2)
anterior velocity and position of the heel and toe marker, were used. The percentage of unmatched gait events was used to determine the success of the GED method. The difference between CoP and kinematic GED methods were
tested with two one sample (two-tailed) t-tests against a reference value of zero. Differences between group and paretic and non-paretic leg were tested with a repeated measures ANOVA.
Results: The kinematic method based on vertical velocity only detected about 80% of foot contact events on the paretic side in stroke survivors while the method on anterior velocity was more successful in both young
healthy adults as stroke survivors (3% young healthy and 7% stroke survivors unmatched). Both kinematic methods detected gait events significantly earlier than CoP GED (p<0.001) except for foot contact in stroke survivors based on the vertical velocity.
Conclusions: CoP GED may be more appropriate for gait analyses of SS than kinematic methods; even when walking and varying steps.

Journal Article Type Article
Acceptance Date Jul 13, 2018
Online Publication Date Aug 14, 2018
Publication Date Oct 5, 2018
Deposit Date Aug 3, 2018
Publicly Available Date Aug 14, 2019
Journal Journal of Biomechanics
Print ISSN 0021-9290
Publisher Elsevier
Volume 79
Pages 218-222
DOI https://doi.org/10.1016/j.jbiomech.2018.07.039
Publisher URL https://doi.org/10.1016/j.jbiomech.2018.07.039
Related Public URLs https://www.jbiomech.com/

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