Literature DB >> 17079145

Agreement between footswitch and ground reaction force techniques for identifying gait events: inter-session repeatability and the effect of walking speed.

Peter M Mills1, Rod S Barrett, Steven Morrison.   

Abstract

This study assessed the inter-session repeatability of agreement between foot-ground contact events (foot contact and foot off) identified from ground reaction force and footswitch-based techniques over a range of gait speeds. No inter-session differences in agreement between the ground reaction force and footswitch-based techniques were identified and while agreement between foot-ground contact events defined by the two techniques was found to differ with walking speed, the differences were small (<6 ms or approximately 1% stance duration) and therefore of little practical significance to the majority of gait studies.

Mesh:

Year:  2006        PMID: 17079145     DOI: 10.1016/j.gaitpost.2006.09.077

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  5 in total

1.  Extraction of stride events from gait accelerometry during treadmill walking.

Authors:  Ervin Sejdić; Kristin A Lowry; Jennica Bellanca; Subashan Perera; Mark S Redfern; Jennifer S Brach
Journal:  IEEE J Transl Eng Health Med       Date:  2015-12-18       Impact factor: 3.316

2.  Differentiating fallers from nonfallers using nonlinear variability analyses of data from a low-cost portable footswitch device: a feasibility study.

Authors:  Arash Mohammadzadeh Gonabadi; Prokopios Antonellis; Philippe Malcolm
Journal:  Acta Bioeng Biomech       Date:  2021       Impact factor: 1.073

3.  Automatic identification of gait events using an instrumented sock.

Authors:  Stephen J Preece; Laurence P J Kenney; Matthew J Major; Tilak Dias; Edward Lay; Bosco T Fernandes
Journal:  J Neuroeng Rehabil       Date:  2011-05-27       Impact factor: 4.262

4.  Towards Real-Time Detection of Gait Events on Different Terrains Using Time-Frequency Analysis and Peak Heuristics Algorithm.

Authors:  Hui Zhou; Ning Ji; Oluwarotimi Williams Samuel; Yafei Cao; Zheyi Zhao; Shixiong Chen; Guanglin Li
Journal:  Sensors (Basel)       Date:  2016-10-01       Impact factor: 3.576

5.  Gait Phase Detection Based on Muscle Deformation with Static Standing-Based Calibration.

Authors:  Tamon Miyake; Shintaro Yamamoto; Satoshi Hosono; Satoshi Funabashi; Zhengxue Cheng; Cheng Zhang; Emi Tamaki; Shigeki Sugano
Journal:  Sensors (Basel)       Date:  2021-02-04       Impact factor: 3.576

  5 in total

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