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  4. Gait events during turning can be detected using kinematic features originally proposed for the analysis of straight-line walking
 
research article

Gait events during turning can be detected using kinematic features originally proposed for the analysis of straight-line walking

Ulrich, Baptiste
•
Santos, Alejandro N.
•
Jolles, Brigitte M.  
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June 25, 2019
Journal Of Biomechanics

There is a growing interest for turning biomechanics notably because it is a more challenging task than straight-line walking during which some gait impairments are increased. Detecting heel-strike (HS) and toe-off (TO) events using the trajectory of markers attached to the feet is common in straight-line gait analysis and could reveal very useful to evaluate turning maneuvers. Yet, a comprehensive evaluation is missing, making difficult the selection of features for temporal analysis of turning. This study aimed to compare features of foot marker trajectories to detect HS and TO. Twenty healthy participants, 10 young (5 males, 23 +/- 1 years old, 21.3 +/- 2.2 kg/m(2)) and 10 elderly (4 males, 72 +/- 5 years old, 26.4 +/- 6.4 kg/m(2)), performed quarter, half, and full turns as well as straight-line walking in a gait lab. Fourteen features, adapted from straight-line walking literature, were used to detect HS and TO based on marker trajectories. Force plate measures served as reference. One HS and one TO feature were found particularly suitable. Overall, they detected more than 99% of the 1788 events recorded, with accuracies and precisions of -3.9 ms and 9.0 ms for HS and -7.8 ms and 10.7 ms for TO, respectively. Differences in accuracy and precision were observed among walking conditions and groups, but remained small, generally below 4.0 ms. In conclusion, this study identified kinematic features that can be used to analyze both turning and straight-line walking. Further assessment could be necessary with pathologies inducing severe degradation of gait patterns. (C) 2019 Elsevier Ltd. All rights reserved.

  • Details
  • Metrics
Type
research article
DOI
10.1016/j.jbiomech.2019.05.006
Web of Science ID

WOS:000473841100009

Author(s)
Ulrich, Baptiste
Santos, Alejandro N.
Jolles, Brigitte M.  
Benninger, David H.
Favre, Julien  
Date Issued

2019-06-25

Publisher

ELSEVIER SCI LTD

Published in
Journal Of Biomechanics
Volume

91

Start page

69

End page

78

Subjects

Biophysics

•

Engineering, Biomedical

•

Engineering

•

gait analysis

•

stance phase

•

motion capture

•

temporal parameters and turning

•

knee adduction moment

•

parkinsons-disease

•

children

•

adults

•

falls

•

algorithms

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parameters

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treadmill

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reduce

•

phase

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
IBI-STI  
Available on Infoscience
July 18, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/159215
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