Literature DB >> 20971468

A gravitational impulse model predicts collision impulse and mechanical work during a step-to-step transition.

Jin Yeom1, Sukyung Park.   

Abstract

The simplest walking model, which assumes an instantaneous collision with negligible gravity effect, is limited in its representation of the collision mechanics of human gaits because the actual step-to-step transition occurs over a finite duration of time with finite impulsive ground reaction forces (GRFs) that have the same order of magnitude as the gravitational force. In this study, we propose a new collision model that includes the contribution of the gravitational impulse to the momentum change of the center of mass (COM) during a step-to-step transition. To validate the model, we measured the GRFs of six subjects' over-ground walking at five different gait speeds and calculated the collision impulses and mechanical work. The data showed a significant contribution of the gravitational impulse to the momentum change during collision. To compensate for the gravity, the magnitudes of collision impulse and COM work were estimated to be much greater than in previous predictions. Consistent with the model prediction, push-off propulsion fully compensated for the collision loss, implying the step-to-step transition occurred in an energetically optimal manner. The new model predicted a moderate change in the collision mechanics with gait speed, which seems to be physiologically achievable. The gravitational collision model enables us to better understand collision dynamics during a step-to-step transition.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20971468     DOI: 10.1016/j.jbiomech.2010.08.024

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


  4 in total

1.  Two biomechanical strategies for locomotor adaptation to split-belt treadmill walking in subjects with and without transtibial amputation.

Authors:  Brian P Selgrade; Megan E Toney; Young-Hui Chang
Journal:  J Biomech       Date:  2017-01-14       Impact factor: 2.712

2.  Prosthetic ankle push-off work reduces metabolic rate but not collision work in non-amputee walking.

Authors:  Joshua M Caputo; Steven H Collins
Journal:  Sci Rep       Date:  2014-12-03       Impact factor: 4.379

3.  Prediction of Lower Limb Kinetics and Kinematics during Walking by a Single IMU on the Lower Back Using Machine Learning.

Authors:  Hyerim Lim; Bumjoon Kim; Sukyung Park
Journal:  Sensors (Basel)       Date:  2019-12-24       Impact factor: 3.576

4.  Pendular energy transduction within the step during human walking on slopes at different speeds.

Authors:  Arthur H Dewolf; Yuri P Ivanenko; Francesco Lacquaniti; Patrick A Willems
Journal:  PLoS One       Date:  2017-10-26       Impact factor: 3.240

  4 in total

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