Literature DB >> 25798762

Reliability of the walking speed and gait dynamics variables while walking on a feedback-controlled treadmill.

Jin-Seung Choi1, Dong-Won Kang1, Jeong-Woo Seo1, Gye-Rae Tack2.   

Abstract

The purpose of this study is to identify the reliability of walking speed and gait dynamics measured with a feedback-controlled treadmill and to assess the applicability of the treadmill to gait dynamics studies. The intraclass correlation coefficient (ICC) and the standard error of measurement (SEM) for the walking speed and the mean, variability (coefficient of variance, CV), and fractal dynamics (the scaling exponent α of detrended fluctuation analysis, DFA) of the stride time and stride length were used to evaluate the within-day and between-day reliability. Fifteen subjects walked on a feedback-controlled treadmill for three trials that were each more than 10 min in length (within-day); this protocol was repeated on another day to identify the between-day reliability. The results showed that all variables were consistent for within-day and between-day reliability (ICC: 0.633-0.982, p<0.05; SEM: 0.02-0.43). The within- and between-day reliability of the walking speed and the mean, variability, and fractal dynamics for the stride time and stride length were identified. Good ICCs and low SEMs for within-day and between-day reliability were obtained for all variables. Therefore, it is concluded that it is possible to use a feedback-controlled treadmill to the study of gait dynamics.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Keywords:  Coefficient of variance; Detrended fluctuation analysis; Feedback-controlled treadmill; Reliability; Self-paced treadmill

Mesh:

Year:  2015        PMID: 25798762     DOI: 10.1016/j.jbiomech.2015.02.047

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


  9 in total

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Authors:  Casey Wiens; Will Denton; Molly Schieber; Ryan Hartley; Vivien Marmelat; Sara Myers; Jennifer Yentes
Journal:  IEEE Int Conf Electro Inf Technol       Date:  2017-10-02

3.  Between-day repeatability of sensor-based in-home gait assessment among older adults: assessing the effect of frailty.

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4.  Speed-related but not detrended gait variability increases with more sensitive self-paced treadmill controllers at multiple slopes.

Authors:  Cesar R Castano; Helen J Huang
Journal:  PLoS One       Date:  2021-05-07       Impact factor: 3.240

5.  Power considerations for the application of detrended fluctuation analysis in gait variability studies.

Authors:  Nikita A Kuznetsov; Christopher K Rhea
Journal:  PLoS One       Date:  2017-03-21       Impact factor: 3.240

6.  Differences in reproducibility of gait variability and fractal dynamics according to walking duration.

Authors:  Jin-Seung Choi; Jeong-Woo Seo; Jin-Soo Lee; Jung-Gil Kim; Jun-Hyeong Cho; Gye-Rae Tack
Journal:  Technol Health Care       Date:  2020       Impact factor: 1.285

7.  Effect of sampling frequency on fractal fluctuations during treadmill walking.

Authors:  Vivien Marmelat; Austin Duncan; Shane Meltz
Journal:  PLoS One       Date:  2019-11-07       Impact factor: 3.240

8.  Quantitative analysis of the bilateral coordination and gait asymmetry using inertial measurement unit-based gait analysis.

Authors:  Seung Hwan Han; Chang Oh Kim; Kwang Joon Kim; Jeanhong Jeon; Hsienhao Chang; Eun Seo Kim; Hoon Park
Journal:  PLoS One       Date:  2019-10-01       Impact factor: 3.240

9.  Gait Dynamics in Parkinson's Disease: Short Gait Trials "Stitched" Together Provide Different Fractal Fluctuations Compared to Longer Trials.

Authors:  Vivien Marmelat; Nicholas R Reynolds; Amy Hellman
Journal:  Front Physiol       Date:  2018-07-09       Impact factor: 4.566

  9 in total

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