Literature DB >> 17887905

Influence of the 3D inverse dynamic method on the joint forces and moments during gait.

R Dumas1, E Nicol, L Chèze.   

Abstract

The joint forces and moments are commonly used in gait analysis. They can be computed by four different 3D inverse dynamic methods proposed in the literature, either based on vectors and Euler angles, wrenches and quaternions, homogeneous matrices, or generalized coordinates and forces. In order to analyze the influence of the inverse dynamic method, the joint forces and moments were computed during gait on nine healthy subjects. A ratio was computed between the relative dispersions (due to the method) and the absolute amplitudes of the gait curves. The influence of the inverse dynamic method was negligible at the ankle (2%) but major at the knee and the hip joints (40%). This influence seems to be due to the dynamic computation rather than the kinematic computation. Compared to the influence of the joint center location, the body segment inertial parameter estimation, and more, the influence of the inverse dynamic method is at least of equivalent importance. This point should be confirmed with other subjects, possibly pathologic, and other movements.

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Year:  2007        PMID: 17887905     DOI: 10.1115/1.2768114

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


  3 in total

Review 1.  Methodological factors affecting joint moments estimation in clinical gait analysis: a systematic review.

Authors:  Valentina Camomilla; Andrea Cereatti; Andrea Giovanni Cutti; Silvia Fantozzi; Rita Stagni; Giuseppe Vannozzi
Journal:  Biomed Eng Online       Date:  2017-08-18       Impact factor: 2.819

2.  Influence of inverse dynamics methods on the calculation of inter-segmental moments in vertical jumping and weightlifting.

Authors:  Daniel J Cleather; Anthony M J Bull
Journal:  Biomed Eng Online       Date:  2010-11-17       Impact factor: 2.819

3.  Proposition of a Classification of Adult Patients with Hemiparesis in Chronic Phase.

Authors:  Frédéric Chantraine; Paul Filipetti; Céline Schreiber; Angélique Remacle; Elisabeth Kolanowski; Florent Moissenet
Journal:  PLoS One       Date:  2016-06-07       Impact factor: 3.240

  3 in total

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