Literature DB >> 10575078

The effect of segment parameter error on gait analysis results.

D J Pearsall1, P A Costigan.   

Abstract

The extent to which errors in predicting body segment parameters (SP) influence biomechanical analysis of human motion is unclear. Therefore, the current study quantitatively evaluated the differences in SP estimates using literature predictive functions and computed the effect of SP variation on the kinetic output of walking. For a group of 15 young males, significant differences (P<0. 05) were observed between SP estimates for the leg and thigh using the literature predictive functions, with mass and moment of inertial values differing by more than 40%. Using kinematic and ground reaction force data collected for each subject while walking, inverse dynamic analysis was performed iteratively to compute hip forces and moments while simultaneously varying SP values over nine intervals within +/-40% of a baseline value. SP variations were found to significantly affect (P<0.05) most of the kinetic estimates produced, particularly those taken during the swing phase. However, the magnitude of these effects was generally less than 1% of body weight. The data from the current study allows researchers to estimate the errors in kinetic measures due to SP variation. The results also indicate that the accuracy of SP prediction should be of concern in biomechanical research particularly for open chain and high acceleration activities. Further study is necessary to identify the importance of SP variation on other motion skills.

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Year:  1999        PMID: 10575078     DOI: 10.1016/s0966-6362(99)00011-9

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


  11 in total

1.  Segmental Musculoskeletal Examinations using Dual-Energy X-Ray Absorptiometry (DXA): Positioning and Analysis Considerations.

Authors:  Nicolas H Hart; Sophia Nimphius; Tania Spiteri; Jodie L Cochrane; Robert U Newton
Journal:  J Sports Sci Med       Date:  2015-08-11       Impact factor: 2.988

2.  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

3.  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

4.  Joint-level kinetic redundancy is exploited to control limb-level forces during human hopping.

Authors:  Jasper T Yen; Arick G Auyang; Young-Hui Chang
Journal:  Exp Brain Res       Date:  2009-06-04       Impact factor: 1.972

5.  The relation between mild leg-length inequality and able-bodied gait asymmetry.

Authors:  Matthew K Seeley; Brian R Umberger; Jody L Clasey; Robert Shapiro
Journal:  J Sports Sci Med       Date:  2010-12-01       Impact factor: 2.988

6.  Predictive regression modeling of body segment parameters using individual-based anthropometric measurements.

Authors:  Zachary Merrill; Subashan Perera; Rakié Cham
Journal:  J Biomech       Date:  2019-10-08       Impact factor: 2.712

7.  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

8.  Impact of the seated height to stature ratio on torso segment parameters.

Authors:  Zachary Merrill; Charles Woolley; Rakié Cham
Journal:  Ergonomics       Date:  2020-07-20       Impact factor: 2.778

Review 9.  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

10.  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

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