Literature DB >> 10964041

A treadmill-based system for measuring symmetry of gait.

E R Draper1.   

Abstract

It has been recognised for centuries that various conditions will lead to asymmetries in gait and several researchers have analysed symmetry of gait. However, in general such analyses are based on five steps or fewer. A new system has been designed and manufactured that is based on a motorised treadmill with forceplates (errors +3. 2% and -4.3%) that quickly gathers information on larger numbers of steps. It automatically records the data and then performs a semi automatic analysis to calculate various parameters from each of the measured steps, including: heel strike, toe off, stance phase, swing phase, peak forces and loading and unloading rates. Other parameters can also be easily incorporated into the analysis such as double support time. Student's t tests are performed comparing the means of these parameters. The ratios of the parameters, left to right (or uninvolved to involved limbs), are then quoted as Symmetry Indices. It has been found to be quick and easy to use and produces results that are both readily understood and clinically relevant.

Mesh:

Year:  2000        PMID: 10964041     DOI: 10.1016/s1350-4533(00)00026-6

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  5 in total

1.  Gait symmetry and velocity differ in their relationship to age.

Authors:  Kara K Patterson; Neelesh K Nadkarni; Sandra E Black; William E McIlroy
Journal:  Gait Posture       Date:  2012-01-31       Impact factor: 2.840

2.  Dynamic assessment of center of pressure measurements from an instrumented AMTI treadmill with controlled precision.

Authors:  Emma Fortune; Jeremy Crenshaw; Vipul Lugade; Kenton R Kaufman
Journal:  Med Eng Phys       Date:  2017-02-01       Impact factor: 2.242

3.  A Portable Gait Asymmetry Rehabilitation System for Individuals with Stroke Using a Vibrotactile Feedback.

Authors:  Muhammad Raheel Afzal; Min-Kyun Oh; Chang-Hee Lee; Young Sook Park; Jungwon Yoon
Journal:  Biomed Res Int       Date:  2015-06-16       Impact factor: 3.411

4.  Developing a Low-Cost Force Treadmill via Dynamic Modeling.

Authors:  Chih-Yuan Hong; Lan-Yuen Guo; Rong Song; Mark L Nagurka; Jia-Li Sung; Chen-Wen Yen
Journal:  J Healthc Eng       Date:  2017-06-04       Impact factor: 2.682

5.  Exploiting telerobotics for sensorimotor rehabilitation: a locomotor embodiment.

Authors:  Min Hyong Koh; Sheng-Che Yen; Lester Y Leung; Sarah Gans; Keri Sullivan; Yasaman Adibnia; Misha Pavel; Christopher J Hasson
Journal:  J Neuroeng Rehabil       Date:  2021-04-21       Impact factor: 4.262

  5 in total

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