Literature DB >> 8188730

The selection of a standard convention for analyzing gait data based on the analysis of relevant biomechanical factors.

P DeVita1.   

Abstract

The gait cycle is usually analyzed using one of two conventions: heel contact initiates the cycle and stance is followed by swing phases or toe-off initiates the cycle and swing then stance phases are analyzed. The purpose of the study is to demonstrate that based on a consideration of relevant biomechanical measures, a convention identifying toe-off as the beginning of the gait cycle and presenting swing followed by stance phases is the superior convention. Net joint torques and electromyographic (EMG) data from selected muscles in the lower extremity were obtained from four subjects while walking and running. Data were collected for consecutive swing, stance and swing phases to compare the variables at the swing-to-stance and stance-to-swing transitions. Larger joint torques were observed at the swing-to-stance transition at the hip and knee for both gaits compared to the other transition. EMG results showed greater activation levels for five of the six muscles at the swing-to-stance transition. Results indicated that the subjects needed to prepare for the initiation of stance and the application of relatively large external forces and moments. Further, the transition from stance to swing did not seem to be as critical a point in the gait cycle since the movements and EMG were relatively low. This being the case, the stance-to-swing transition should be used as the beginning and ending of the gait cycle (toe-off initiating the cycle) and the more meaningful transition of swing-to-stance phases should occur in the middle of the analysis.

Mesh:

Year:  1994        PMID: 8188730     DOI: 10.1016/0021-9290(94)90025-6

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


  6 in total

1.  Adaptational phenomena and mechanical responses during running: effect of surface, aging and task experience.

Authors:  Kiros Karamanidis; Adamantios Arampatzis; Gert-Peter Brüggemann
Journal:  Eur J Appl Physiol       Date:  2006-08-25       Impact factor: 3.078

2.  The effect of pharmacological treatment on gait biomechanics in peripheral arterial disease patients.

Authors:  Jessie M Huisinga; Iraklis I Pipinos; Jason M Johanning; Nicholas Stergiou
Journal:  J Neuroeng Rehabil       Date:  2010-06-07       Impact factor: 4.262

3.  Parametric equations to study and predict lower-limb joint kinematics and kinetics during human walking and slow running on slopes.

Authors:  Anat Shkedy Rabani; Sarai Mizrachi; Gregory S Sawicki; Raziel Riemer
Journal:  PLoS One       Date:  2022-08-04       Impact factor: 3.752

4.  Estimation of quasi-stiffness and propulsive work of the human ankle in the stance phase of walking.

Authors:  Kamran Shamaei; Gregory S Sawicki; Aaron M Dollar
Journal:  PLoS One       Date:  2013-03-21       Impact factor: 3.240

5.  Estimation of quasi-stiffness of the human knee in the stance phase of walking.

Authors:  Kamran Shamaei; Gregory S Sawicki; Aaron M Dollar
Journal:  PLoS One       Date:  2013-03-22       Impact factor: 3.240

6.  Estimation of quasi-stiffness of the human hip in the stance phase of walking.

Authors:  Kamran Shamaei; Gregory S Sawicki; Aaron M Dollar
Journal:  PLoS One       Date:  2013-12-09       Impact factor: 3.240

  6 in total

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