Literature DB >> 17655480

Differences between local and orbital dynamic stability during human walking.

Jonathan B Dingwell1, Hyun Gu Kang.   

Abstract

Currently there is no commonly accepted way to define, much less quantify, locomotor stability. In engineering, "orbital stability" is defined using Floquet multipliers that quantify how purely periodic systems respond to perturbations discretely from one cycle to the next. For aperiodic systems, "local stability" is defined by local divergence exponents that quantify how the system responds to very small perturbations continuously in real time. Triaxial trunk accelerations and lower extremity sagittal plane joint angles were recorded from ten young healthy subjects as they walked for 10 min over level ground and on a motorized treadmill at the same speed. Maximum Floquet multipliers (Max FM) were computed at each percent of the gait cycle (from 0% to 100%) for each time series to quantify the orbital stability of these movements. Analyses of variance comparing Max FM values between walking conditions and correlations between Max FM values and previously published local divergence exponent results were computed. All subjects exhibited orbitally stable walking kinematics (i.e., magnitudes of Max FM < 1.0), even though these same kinematics were previously found to be locally unstable. Variations in orbital stability across the gait cycle were generally small and exhibited no systematic patterns. Walking on the treadmill led to small, but statistically significant improvements in the orbital stability of mediolateral (p = 0.040) and vertical (p = 0.038) trunk accelerations and ankle joint kinematics (p = 0.002). However, these improvements were not exhibited by all subjects (p < or = 0.012 for subject x condition interaction effects). Correlations between Max FM values and previously published local divergence exponents were inconsistent and 11 of the 12 comparisons made were not statistically significant (r2 < or = 19.8%; p > or = 0.049). Thus, the variability inherent in human walking, which manifests itself as local instability, does not substantially adversely affect the orbital stability of walking. The results of this study will allow future efforts to gain a better understanding of where the boundaries lie between locally unstable movements that remain orbitally stable and those that lead to global instability (i.e., falling).

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Year:  2007        PMID: 17655480     DOI: 10.1115/1.2746383

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  60 in total

1.  Dynamic stability of human walking in visually and mechanically destabilizing environments.

Authors:  Patricia M McAndrew; Jason M Wilken; Jonathan B Dingwell
Journal:  J Biomech       Date:  2010-11-20       Impact factor: 2.712

Review 2.  Using dynamic walking models to identify factors that contribute to increased risk of falling in older adults.

Authors:  Paulien E Roos; Jonathan B Dingwell
Journal:  Hum Mov Sci       Date:  2013-10-10       Impact factor: 2.161

3.  Dynamic stability of superior vs. inferior body segments in individuals with transtibial amputation walking in destabilizing environments.

Authors:  Rainer Beurskens; Jason M Wilken; Jonathan B Dingwell
Journal:  J Biomech       Date:  2014-07-10       Impact factor: 2.712

Review 4.  Human movement variability, nonlinear dynamics, and pathology: is there a connection?

Authors:  Nicholas Stergiou; Leslie M Decker
Journal:  Hum Mov Sci       Date:  2011-07-29       Impact factor: 2.161

5.  Influence of simulated neuromuscular noise on the dynamic stability and fall risk of a 3D dynamic walking model.

Authors:  Paulien E Roos; Jonathan B Dingwell
Journal:  J Biomech       Date:  2011-03-26       Impact factor: 2.712

6.  Kinematic measures for assessing gait stability in elderly individuals: a systematic review.

Authors:  D Hamacher; N B Singh; J H Van Dieën; M O Heller; W R Taylor
Journal:  J R Soc Interface       Date:  2011-08-31       Impact factor: 4.118

7.  The primacy of rhythm: how discrete actions merge into a stable rhythmic pattern.

Authors:  Zhaoran Zhang; Dagmar Sternad
Journal:  J Neurophysiol       Date:  2018-12-19       Impact factor: 2.714

8.  Underactuated Potential Energy Shaping with Contact Constraints: Application to a Powered Knee-Ankle Orthosis.

Authors:  Ge Lv; Robert D Gregg
Journal:  IEEE Trans Control Syst Technol       Date:  2017-01-17       Impact factor: 5.485

Review 9.  Movement variability near goal equivalent manifolds: fluctuations, control, and model-based analysis.

Authors:  Joseph P Cusumano; Jonathan B Dingwell
Journal:  Hum Mov Sci       Date:  2013-11-07       Impact factor: 2.161

10.  Dynamic instability during post-stroke hemiparetic walking.

Authors:  Pei-Chun Kao; Jonathan B Dingwell; Jill S Higginson; Stuart Binder-Macleod
Journal:  Gait Posture       Date:  2014-06-04       Impact factor: 2.840

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