Literature DB >> 31082656

Dynamic structure of variability in joint angles and center of mass position during user-driven treadmill walking.

Kelley M Kempski1, Nicole T Ray2, Brian A Knarr3, Jill S Higginson4.   

Abstract

BACKGROUND: Overground locomotion exhibits greater movement variability and less dynamic stability compared to typical fixed-speed treadmill walking. To minimize the differences between treadmill and overground locomotion, researchers are developing user-driven treadmill systems that adjust the speed of the treadmill belts in real-time based on how fast the subject is trying to walk. RESEARCH QUESTION: Does dynamic structure of variability, quantified by the Lyapunov exponent (LyE), of joint angles and center of mass (COM) position differ between a fixed-speed treadmill (FTM) and user-driven treadmill (UTM) for healthy subjects?
METHODS: Eleven healthy, adult subjects walked on a user-driven treadmill that updated its speed in real-time based on the subjects' propulsive forces, location, step length, and step time, and at a matched speed on a typical, fixed-speed treadmill for 1-minute. The LyE for flexion/extension joint angles and center of mass position were calculated.
RESULTS: Subjects exhibited higher LyE values of joint angles on the UTM compared to the FTM indicating that walking on the UTM may be more similar to overground locomotion. No change in COM LyE was observed between treadmill conditions indicating that subjects' balance was not significantly altered by this new training paradigm. SIGNIFICANCE: The user-driven treadmill may be a more valuable rehabilitation tool for improving gait than fixed-speed treadmill training, as it may increase the effectiveness of transitioning learned behaviors to overground compared to fixed-speed treadmills.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adaptive; Center of mass; Gait; Joint angles; Lyapunov exponent; Non-linear; Treadmill; User-driven; Variability

Mesh:

Year:  2019        PMID: 31082656      PMCID: PMC6589370          DOI: 10.1016/j.gaitpost.2019.04.031

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


  18 in total

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Journal:  J Biomech Eng       Date:  2001-02       Impact factor: 2.097

2.  Sensitivity of the Wolf's and Rosenstein's algorithms to evaluate local dynamic stability from small gait data sets.

Authors:  Fabien Cignetti; Leslie M Decker; Nicholas Stergiou
Journal:  Ann Biomed Eng       Date:  2011-11-25       Impact factor: 3.934

3.  A Feedback-Controlled Interface for Treadmill Locomotion in Virtual Environments.

Authors:  Lee Lichtenstein; James Barabas; Russell L Woods; Eli Peli
Journal:  ACM Trans Appl Percept       Date:  2007-01       Impact factor: 1.550

4.  A comparison of variability in spatiotemporal gait parameters between treadmill and overground walking conditions.

Authors:  John H Hollman; Molly K Watkins; Angela C Imhoff; Carly E Braun; Kristen A Akervik; Debra K Ness
Journal:  Gait Posture       Date:  2015-10-23       Impact factor: 2.840

Review 5.  Heart Disease and Stroke Statistics-2018 Update: A Report From the American Heart Association.

Authors:  Emelia J Benjamin; Salim S Virani; Clifton W Callaway; Alanna M Chamberlain; Alexander R Chang; Susan Cheng; Stephanie E Chiuve; Mary Cushman; Francesca N Delling; Rajat Deo; Sarah D de Ferranti; Jane F Ferguson; Myriam Fornage; Cathleen Gillespie; Carmen R Isasi; Monik C Jiménez; Lori Chaffin Jordan; Suzanne E Judd; Daniel Lackland; Judith H Lichtman; Lynda Lisabeth; Simin Liu; Chris T Longenecker; Pamela L Lutsey; Jason S Mackey; David B Matchar; Kunihiro Matsushita; Michael E Mussolino; Khurram Nasir; Martin O'Flaherty; Latha P Palaniappan; Ambarish Pandey; Dilip K Pandey; Mathew J Reeves; Matthew D Ritchey; Carlos J Rodriguez; Gregory A Roth; Wayne D Rosamond; Uchechukwu K A Sampson; Gary M Satou; Svati H Shah; Nicole L Spartano; David L Tirschwell; Connie W Tsao; Jenifer H Voeks; Joshua Z Willey; John T Wilkins; Jason Hy Wu; Heather M Alger; Sally S Wong; Paul Muntner
Journal:  Circulation       Date:  2018-01-31       Impact factor: 29.690

6.  Individual limb mechanical analysis of gait following stroke.

Authors:  Caitlin E Mahon; Dominic J Farris; Gregory S Sawicki; Michael D Lewek
Journal:  J Biomech       Date:  2015-02-07       Impact factor: 2.712

7.  Stride-to-stride variability of knee motion in patients with knee osteoarthritis.

Authors:  Michael D Lewek; John Scholz; Katherine S Rudolph; Lynn Snyder-Mackler
Journal:  Gait Posture       Date:  2005-07-15       Impact factor: 2.840

8.  Walking speed changes in response to novel user-driven treadmill control.

Authors:  Nicole T Ray; Brian A Knarr; Jill S Higginson
Journal:  J Biomech       Date:  2018-07-29       Impact factor: 2.712

9.  Faster is better: implications for speed-intensive gait training after stroke.

Authors:  Anouk Lamontagne; Joyce Fung
Journal:  Stroke       Date:  2004-10-07       Impact factor: 7.914

10.  A user-driven treadmill control scheme for simulating overground locomotion.

Authors:  Jonghyun Kim; Christopher J Stanley; Lindsey A Curatalo; Hyung-Soon Park
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012
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  7 in total

1.  Walking speed changes in response to user-driven treadmill control after stroke.

Authors:  Nicole T Ray; Darcy S Reisman; Jill S Higginson
Journal:  J Biomech       Date:  2020-01-16       Impact factor: 2.712

2.  Adaptive treadmill control can be manipulated to increase propulsive impulse while maintaining walking speed.

Authors:  Kayla M Pariser; Margo C Donlin; Kaitlyn E Downer; Jill S Higginson
Journal:  J Biomech       Date:  2022-01-28       Impact factor: 2.712

3.  Adaptive treadmill walking encourages persistent propulsion.

Authors:  Margo C Donlin; Kayla M Pariser; Kaitlyn E Downer; Jill S Higginson
Journal:  Gait Posture       Date:  2022-02-16       Impact factor: 2.840

4.  User-driven treadmill walking promotes healthy step width after stroke.

Authors:  Margo C Donlin; Nicole T Ray; Jill S Higginson
Journal:  Gait Posture       Date:  2021-03-26       Impact factor: 2.840

5.  Quantifying the effect of sagittal plane joint angle variability on bipedal fall risk.

Authors:  Amy Mitchell; Anne E Martin
Journal:  PLoS One       Date:  2022-01-26       Impact factor: 3.240

6.  Outdoor walking exhibits peak ankle and knee flexion differences compared to fixed and adaptive-speed treadmills in older adults.

Authors:  Sheridan M Parker; Jeremy Crenshaw; Nathaniel H Hunt; Christopher Burcal; Brian A Knarr
Journal:  Biomed Eng Online       Date:  2021-10-15       Impact factor: 2.819

7.  Characterizing stroke-induced changes in the variability of lower limb kinematics using multifractal detrended fluctuation analysis.

Authors:  Pan Xu; Hairong Yu; Xiaoyun Wang; Rong Song
Journal:  Front Neurol       Date:  2022-08-05       Impact factor: 4.086

  7 in total

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