Literature DB >> 10900056

The swing phase of human walking is not a passive movement.

S N Whittlesey1, R E van Emmerik, J Hamill.   

Abstract

Many studies have assumed that the swing phase of human walking at preferred velocity is largely passive and thus highly analogous to the swing of an unforced pendulum. In other words, while swing-phase joint moments are generally nonzero during swing, it was assumed that they were either zero or at least negligibly small compared to gravity. While neglect of joint moments does not invalidate a study by default, it remains that the limitations of such an assumption have not been explored thoroughly. This paper makes five arguments that the swing phase cannot be passive, using both original data and the literature: (1) Computer simulations of the swing phase require muscular control to be accurate. (2) Swing-phase joint moments, while smaller than those during stance, are still greater than those due to gravity. (3) Gravity accounts for a minority of the total kinetics of a swing phase. (4) The kinetics due to gravity do not have the pattern needed to develop a normal swing phase. (5) There is no correlation between pendular swing times and human walking periods in overground walking. The conclusion of this paper is that the swing phase must be an actively controlled process, and should be assumed to be passive only when a study does not require a quantitative result. This conclusion has significant implications for many areas of gait research, including clinical study, control theory, and mechanical modeling.

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Year:  2000        PMID: 10900056     DOI: 10.1123/mcj.4.3.273

Source DB:  PubMed          Journal:  Motor Control        ISSN: 1087-1640            Impact factor:   1.422


  12 in total

1.  The strategies to regulate and to modulate the propulsive forces during gait initiation in lower limb amputees.

Authors:  V Michel; R K Y Chong
Journal:  Exp Brain Res       Date:  2004-05-27       Impact factor: 1.972

2.  Stance and swing phase costs in human walking.

Authors:  Brian R Umberger
Journal:  J R Soc Interface       Date:  2010-03-31       Impact factor: 4.118

3.  Inertial properties of hominoid limb segments.

Authors:  Karin Isler; Rachel C Payne; Michael M Günther; Susannah K S Thorpe; Yu Li; Russell Savage; Robin H Crompton
Journal:  J Anat       Date:  2006-08       Impact factor: 2.610

4.  Constraints on perception of information from obstacles during foot clearance in people with chronic stroke.

Authors:  Mohsen Shafizadeh; Jonathan Wheat; Keith Davids; Noureddin Nakhostin Ansari; Ali Ali; Samira Garmabi
Journal:  Exp Brain Res       Date:  2017-03-07       Impact factor: 1.972

5.  The effect of modelling parameters in the development and validation of knee joint models on ligament mechanics: A systematic review.

Authors:  Sara Sadat Farshidfar; Joseph Cadman; Danny Deng; Richard Appleyard; Danè Dabirrahmani
Journal:  PLoS One       Date:  2022-01-27       Impact factor: 3.240

6.  Morphometrics and inertial properties in the body segments of chimpanzees (Pan troglodytes).

Authors:  Kirsten Schoonaert; Kristiaan D'Août; Peter Aerts
Journal:  J Anat       Date:  2007-05       Impact factor: 2.610

7.  Hysteresis in Center of Mass Velocity Control during the Stance Phase of Treadmill Walking.

Authors:  Kyoung-Hyun Lee; Raymond K Chong
Journal:  Front Hum Neurosci       Date:  2017-04-27       Impact factor: 3.169

8.  Pendulum test in chronic hemiplegic stroke population: additional ambulatory information beyond spasticity.

Authors:  Yin-Kai Dean Huang; Wei Li; Yi-Lin Chou; Erica Shih-Wei Hung; Jiunn-Horng Kang
Journal:  Sci Rep       Date:  2021-07-20       Impact factor: 4.379

9.  Simulation of normal and pathological gaits using a fusion knowledge strategy.

Authors:  Fabio Martínez; Christian Cifuentes; Eduardo Romero
Journal:  J Neuroeng Rehabil       Date:  2013-07-11       Impact factor: 4.262

10.  Correlating mechanical work with energy consumption during gait throughout pregnancy.

Authors:  Zarko Krkeljas; Sarah Johanna Moss
Journal:  BMC Pregnancy Childbirth       Date:  2015-11-20       Impact factor: 3.007

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