Literature DB >> 11747892

A simple method for determination of gait events.

Andrew H Hansen1, Dudley S Childress, Margrit R Meier.   

Abstract

Simple and effective methods for determining the timing of gait events are necessary for the proper normalization and statistical analysis of gait data when a variety of gait measurements are available. The approach presented was developed for cases in which overall center of pressure under the body and marker trajectories are being measured over multiple steps. The new method presented uses the relative positioning of the overall center of pressure and an ankle marker in the direction of forward progression for the determination of "heel-contact" and "toe-off" events. The difference between the locations of the overall center of pressure and the ankle in the direction of progression readily delineates the timing of these events. The new method was tested against force records from individual force platforms and was found to detect "heel-contact" events an average of 1 sample (at a sampling frequency of 120Hz, 0.00833s) before the event found using the individual force platforms. "Toe-off" events were found an average of 2 samples (0.0167s) prior to the events found using individual force plates. The method appears new and is attractive because of its simplicity in determining gait events when the appropriate gait measurements are available.

Mesh:

Year:  2002        PMID: 11747892     DOI: 10.1016/s0021-9290(01)00174-9

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  5 in total

1.  Two simple methods for determining gait events during treadmill and overground walking using kinematic data.

Authors:  J A Zeni; J G Richards; J S Higginson
Journal:  Gait Posture       Date:  2007-08-27       Impact factor: 2.840

2.  Gait analysis with the Kinect v2: normative study with healthy individuals and comprehensive study of its sensitivity, validity, and reliability in individuals with stroke.

Authors:  Jorge Latorre; Carolina Colomer; Mariano Alcañiz; Roberto Llorens
Journal:  J Neuroeng Rehabil       Date:  2019-07-26       Impact factor: 4.262

3.  A deep-learning approach for automatically detecting gait-events based on foot-marker kinematics in children with cerebral palsy-Which markers work best for which gait patterns?

Authors:  Yong Kuk Kim; Rosa M S Visscher; Elke Viehweger; Navrag B Singh; William R Taylor; Florian Vogl
Journal:  PLoS One       Date:  2022-10-13       Impact factor: 3.752

4.  A universal approach to determine footfall timings from kinematics of a single foot marker in hoofed animals.

Authors:  Sandra D Starke; Hilary M Clayton
Journal:  PeerJ       Date:  2015-03-26       Impact factor: 2.984

5.  Whole body balance control in Lenke 1 thoracic adolescent idiopathic scoliosis during level walking.

Authors:  Kuan-Wen Wu; Tung-Wu Lu; Wei-Chun Lee; Ya-Ting Ho; Jyh-Horng Wang; Ken N Kuo; Ting-Ming Wang
Journal:  PLoS One       Date:  2020-03-06       Impact factor: 3.240

  5 in total

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