Literature DB >> 17161484

Speed influences on the scaling behavior of gait cycle fluctuations during treadmill running.

Kimberlee Jordan1, John H Challis, Karl M Newell.   

Abstract

The current study examined the temporal structure of gait cycle fluctuations in running. Participants ran at 80%, 90%, 100%, 110% and 120% of preferred running speed for 8min trials. Kinematic and kinetic gait cycle variables were generated from ground reaction force data. Mean, SD and CV of the kinematic and kinetic variables changed linearly with speed, whereas U-shaped functions were found for the scaling exponent alpha in 5 of the 8 variables investigated. Our findings reveal that long range correlations are present in both kinetic and kinematic variables of the gait cycle. The dependent structure of the stride interval is reduced at preferred running speed and this is hypothesized to be related to the enhanced stability and flexibility of this gait speed.

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Year:  2006        PMID: 17161484     DOI: 10.1016/j.humov.2006.10.001

Source DB:  PubMed          Journal:  Hum Mov Sci        ISSN: 0167-9457            Impact factor:   2.161


  20 in total

Review 1.  Gait dynamics, fractals and falls: finding meaning in the stride-to-stride fluctuations of human walking.

Authors:  Jeffrey M Hausdorff
Journal:  Hum Mov Sci       Date:  2007-07-05       Impact factor: 2.161

2.  Constraint-led changes in internal variability in running.

Authors:  Anita Haudum; Jürgen Birklbauer; Josef Kröll; Erich Müller
Journal:  J Sports Sci Med       Date:  2012-03-01       Impact factor: 2.988

Review 3.  Gait dynamics in Parkinson's disease: common and distinct behavior among stride length, gait variability, and fractal-like scaling.

Authors:  Jeffrey M Hausdorff
Journal:  Chaos       Date:  2009-06       Impact factor: 3.642

Review 4.  Walking and running on treadmill: the standard criteria for kinematics studies.

Authors:  Johnny Padulo; Karim Chamari; Luca Paolo Ardigò
Journal:  Muscles Ligaments Tendons J       Date:  2014-07-14

Review 5.  Assessing the stability of human locomotion: a review of current measures.

Authors:  S M Bruijn; O G Meijer; P J Beek; J H van Dieën
Journal:  J R Soc Interface       Date:  2013-03-20       Impact factor: 4.118

6.  Vascular occlusion affects gait variability patterns of healthy younger and older individuals.

Authors:  Sara A Myers; Jason M Johanning; Iraklis I Pipinos; Kendra K Schmid; Nicholas Stergiou
Journal:  Ann Biomed Eng       Date:  2012-10-09       Impact factor: 3.934

7.  Long-range correlation properties in motor timing are individual and task specific.

Authors:  Kjerstin Torre; Ramesh Balasubramaniam; Nicole Rheaume; Loic Lemoine; Howard N Zelaznik
Journal:  Psychon Bull Rev       Date:  2011-04

Review 8.  Gait analysis under the lens of statistical physics.

Authors:  Massimiliano Zanin; Felipe Olivares; Irene Pulido-Valdeolivas; Estrella Rausell; David Gomez-Andres
Journal:  Comput Struct Biotechnol J       Date:  2022-06-18       Impact factor: 6.155

9.  Increased gait variability is associated with the history of falls in patients with cerebellar ataxia.

Authors:  Roman Schniepp; Max Wuehr; Cornelia Schlick; Sabrina Huth; Cauchy Pradhan; Marianne Dieterich; Thomas Brandt; Klaus Jahn
Journal:  J Neurol       Date:  2013-11-22       Impact factor: 4.849

10.  Gait performance is not influenced by working memory when walking at a self-selected pace.

Authors:  Jordan Grubaugh; Christopher K Rhea
Journal:  Exp Brain Res       Date:  2013-11-15       Impact factor: 1.972

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