Literature DB >> 14741302

Sensitivity of the results produced by the inverse dynamic analysis of a human stride to perturbed input data.

Miguel P T Silva1, Jorge A C Ambrósio.   

Abstract

The results of the inverse dynamic procedures used in gait analysis are known to be highly dependent on the quality of the kinematic and dynamic input data and on the biomechanical model anatomical data. In this paper the sensitivities of the system response to imprecision in the input data and biomechanical model were calculated. It was shown that the gait analysis results were very sensitive to the identification of the point of application of the external forces. The quality of the results was less sensitive to errors made during motion reconstruction and to uncertainties in the biomechanical anatomical data. In this study it is also shown that the adopted inverse dynamic analysis method, based on natural coordinates, effectively shielded any error made on a particular kinematic chain from propagation to other branches of the biomechanical model.

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Year:  2004        PMID: 14741302     DOI: 10.1016/s0966-6362(03)00013-4

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  10 in total

1.  3D inverse dynamics in non-orthonormal segment coordinate system.

Authors:  R Dumas; L Chèze
Journal:  Med Biol Eng Comput       Date:  2007-01-25       Impact factor: 2.602

2.  Are patient-specific joint and inertial parameters necessary for accurate inverse dynamics analyses of gait?

Authors:  Jeffrey A Reinbolt; Raphael T Haftka; Terese L Chmielewski; Benjamin J Fregly
Journal:  IEEE Trans Biomed Eng       Date:  2007-05       Impact factor: 4.538

3.  Is my model good enough? Best practices for verification and validation of musculoskeletal models and simulations of movement.

Authors:  Jennifer L Hicks; Thomas K Uchida; Ajay Seth; Apoorva Rajagopal; Scott L Delp
Journal:  J Biomech Eng       Date:  2015-01-26       Impact factor: 2.097

Review 4.  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

5.  Human walking isn't all hard work: evidence of soft tissue contributions to energy dissipation and return.

Authors:  Karl E Zelik; Arthur D Kuo
Journal:  J Exp Biol       Date:  2010-12-15       Impact factor: 3.312

6.  Differences in geriatric anthropometric data between DXA-based subject-specific estimates and non-age-specific traditional regression models.

Authors:  April J Chambers; Alison L Sukits; Jean L McCrory; Rakie Cham
Journal:  J Appl Biomech       Date:  2011-08       Impact factor: 1.833

7.  Estimating body segment parameters from three-dimensional human body scans.

Authors:  Pawel Kudzia; Erika Jackson; Genevieve Dumas
Journal:  PLoS One       Date:  2022-01-05       Impact factor: 3.240

8.  Kinematic and biomimetic assessment of a hydraulic ankle/foot in level ground and camber walking.

Authors:  Xuefei Bai; David Ewins; Andrew D Crocombe; Wei Xu
Journal:  PLoS One       Date:  2017-07-13       Impact factor: 3.240

9.  Center of pressure based segment inertial parameters validation.

Authors:  Clint Hansen; Nasser Rezzoug; Philippe Gorce; Brice Isableu; Gentiane Venture
Journal:  PLoS One       Date:  2017-06-29       Impact factor: 3.240

10.  Influence of Body Composition on Gait Kinetics throughout Pregnancy and Postpartum Period.

Authors:  Marco Branco; Rita Santos-Rocha; Filomena Vieira; Maria-Raquel Silva; Liliana Aguiar; António P Veloso
Journal:  Scientifica (Cairo)       Date:  2016-03-17
  10 in total

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