Literature DB >> 17252233

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

R Dumas1, L Chèze.   

Abstract

The net joint forces and moments may be computed by several 3D inverse dynamic methods. To do so, an orthonormal segment coordinate system (SCS) is generally mandatory. However, the segment axes ought to be selected following anatomical, functional, and inertial requirements that are hardly compatible with orthogonal axes. An alternative method based on generalized coordinates allows computing inverse dynamics using directly a set of basic points and unitary vectors. A segment definition is put forward in order to follow all of the anatomical, functional, and inertial requirements and the inverse dynamics is performed in a non orthonormal segment coordinate system (NSCS). The NSCS seems a convenient definition in biomechanics as far as anatomical, functional and inertial axes are concerned, but providing that the 3D joint forces and moments are still computable. The inverse dynamic method in NSCS is applied to the gait of a knee valgus subject and compared to a classical inverse dynamic method. The inverse dynamic method in NSCS shows comparable results but implies further clinical interpretations.

Mesh:

Year:  2007        PMID: 17252233     DOI: 10.1007/s11517-006-0156-8

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  27 in total

1.  The effect of segment parameter error on gait analysis results.

Authors:  D J Pearsall; P A Costigan
Journal:  Gait Posture       Date:  1999-07       Impact factor: 2.840

Review 2.  The study of human body segment parameters in biomechanics. An historical review and current status report.

Authors:  D J Pearsall; J G Reid
Journal:  Sports Med       Date:  1994-08       Impact factor: 11.136

3.  Bias compensated least squares estimate of the center of rotation.

Authors:  Kjartan Halvorsen
Journal:  J Biomech       Date:  2003-07       Impact factor: 2.712

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

Authors:  Miguel P T Silva; Jorge A C Ambrósio
Journal:  Gait Posture       Date:  2004-02       Impact factor: 2.840

5.  A three-dimensional kinematic and dynamic study of the lower limb during the stance phase of gait using an homogeneous matrix approach.

Authors:  Nathalie Doriot; Laurence Chèze
Journal:  IEEE Trans Biomed Eng       Date:  2004-01       Impact factor: 4.538

6.  Sensitivity of the knee joint kinematics calculation to selection of flexion axes.

Authors:  E Most; J Axe; H Rubash; G Li
Journal:  J Biomech       Date:  2004-11       Impact factor: 2.712

7.  A new method for estimating joint parameters from motion data.

Authors:  Michael H Schwartz; Adam Rozumalski
Journal:  J Biomech       Date:  2005-01       Impact factor: 2.712

8.  Influence of body segments' parameters estimation models on inverse dynamics solutions during gait.

Authors:  Guillaume Rao; David Amarantini; Eric Berton; Daniel Favier
Journal:  J Biomech       Date:  2005-06-20       Impact factor: 2.712

9.  The effect of variation in knee center location estimates on net knee joint moments.

Authors: 
Journal:  Gait Posture       Date:  1998-01-01       Impact factor: 2.840

10.  A joint coordinate system for the clinical description of three-dimensional motions: application to the knee.

Authors:  E S Grood; W J Suntay
Journal:  J Biomech Eng       Date:  1983-05       Impact factor: 2.097

View more
  8 in total

1.  Global sensitivity analysis of the joint kinematics during gait to the parameters of a lower limb multi-body model.

Authors:  Aimad El Habachi; Florent Moissenet; Sonia Duprey; Laurence Cheze; Raphaël Dumas
Journal:  Med Biol Eng Comput       Date:  2015-03-18       Impact factor: 2.602

Review 2.  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

Review 3.  Upper-limb joint kinetics expression during wheelchair propulsion.

Authors:  Melissa M B Morrow; Wendy J Hurd; Kenton R Kaufman; Kai-Nan An
Journal:  J Rehabil Res Dev       Date:  2009

Review 4.  Inertial Motion Capture-Based Wearable Systems for Estimation of Joint Kinetics: A Systematic Review.

Authors:  Chang June Lee; Jung Keun Lee
Journal:  Sensors (Basel)       Date:  2022-03-25       Impact factor: 3.576

5.  Biomechanical assessment of the ipsilesional upper limb in post-stroke patients during multi-joint reaching tasks: A quantitative study.

Authors:  Alessandro Scano; Eleonora Guanziroli; Robert M Mira; Cristina Brambilla; Lorenzo Molinari Tosatti; Franco Molteni
Journal:  Front Rehabil Sci       Date:  2022-07-28

6.  Upper Limb Kinematics Using Inertial and Magnetic Sensors: Comparison of Sensor-to-Segment Calibrations.

Authors:  Brice Bouvier; Sonia Duprey; Laurent Claudon; Raphaël Dumas; Adriana Savescu
Journal:  Sensors (Basel)       Date:  2015-07-31       Impact factor: 3.576

7.  Knee Kinematics Estimation Using Multi-Body Optimisation Embedding a Knee Joint Stiffness Matrix: A Feasibility Study.

Authors:  Vincent Richard; Giuliano Lamberto; Tung-Wu Lu; Aurelio Cappozzo; Raphaël Dumas
Journal:  PLoS One       Date:  2016-06-17       Impact factor: 3.240

8.  Optimal Biomechanical Performance in Upper-Limb Gestures Depends on Velocity and Carried Load.

Authors:  Cristina Brambilla; Matteo Malosio; Gianluigi Reni; Alessandro Scano
Journal:  Biology (Basel)       Date:  2022-03-02
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.