Literature DB >> 7698785

Characterization of human gait by means of body center of mass oscillations derived from ground reaction forces.

A Crowe1, P Schiereck, R W de Boer, W Keessen.   

Abstract

Ground reaction forces from two force plates are used to determine the cyclic oscillations of the body center of mass while walking at preferred speed. Good approximations to the oscillations may be obtained from formulae containing just the first- and second-order Fourier coefficients of the combined left-right ground reaction forces taken over a complete walking cycle. The symmetric components of the oscillations have consistent mutual phase relations for normal subjects, so that the amplitudes alone can be used as sufficient parameters to characterize the body center of mass oscillations. The analytical technique enables detection of small but consistent gait asymmetries.

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Year:  1995        PMID: 7698785     DOI: 10.1109/10.364516

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  5 in total

1.  Walking dynamics are symmetric (enough).

Authors:  M Mert Ankaralı; Shahin Sefati; Manu S Madhav; Andrew Long; Amy J Bastian; Noah J Cowan
Journal:  J R Soc Interface       Date:  2015-07-06       Impact factor: 4.118

2.  Identifying the Effects of Age and Speed on Whole-Body Gait Symmetry by Using a Single Wearable Sensor.

Authors:  Antonino Casabona; Maria Stella Valle; Giulia Rita Agata Mangano; Matteo Cioni
Journal:  Sensors (Basel)       Date:  2022-07-02       Impact factor: 3.847

3.  Peripheral arterial disease affects the frequency response of ground reaction forces during walking.

Authors:  Denise McGrath; Timothy N Judkins; Iraklis I Pipinos; Jason M Johanning; Sara A Myers
Journal:  Clin Biomech (Bristol, Avon)       Date:  2012-09-09       Impact factor: 2.063

4.  Symmetry Analysis of Amputee Gait Based on Body Center of Mass Trajectory and Discrete Fourier Transform.

Authors:  Claudia Ochoa-Diaz; Antônio Padilha L Bó
Journal:  Sensors (Basel)       Date:  2020-04-23       Impact factor: 3.576

5.  Gait parameters are differently affected by concurrent smartphone-based activities with scaled levels of cognitive effort.

Authors:  Carlotta Caramia; Ivan Bernabucci; Carmen D'Anna; Cristiano De Marchis; Maurizio Schmid
Journal:  PLoS One       Date:  2017-10-12       Impact factor: 3.240

  5 in total

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