Literature DB >> 11747889

The fundamental problem of myoskeletal inverse dynamics and its implications.

Herbert Hatze1.   

Abstract

The validity of current inverse dynamics models utilized for motion analysis is investigated. It is shown that observables generated by the real biosystem, such as ground reaction forces, are incompatible with comparable responses of skeletodynamical inverse models currently in use. This implies that results obtained with such models are erroneous to varying degrees while a quantification of these errors is difficult or impossible. This phenomenon is termed the fundamental myoskeletal inverse dynamics problem. A model fidelity indicator is proposed which, for a specific inverse dynamics model applied to a particular motion, provides a dimensionless numerical measure for the replicative validity of that model and the fidelity of its input data. A practical example demonstrates the usefulness of this indicator. It is suggested that the development of structurally sufficiently complex and biologically more realistic skeletomechanical models as well as substantial error reductions in data measuring and processing procedures will be necessary to improve the accuracy of inverse dynamics model computations.

Mesh:

Year:  2002        PMID: 11747889     DOI: 10.1016/s0021-9290(01)00158-0

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  5 in total

1.  Computational Models for Neuromuscular Function.

Authors:  Francisco J Valero-Cuevas; Heiko Hoffmann; Manish U Kurse; Jason J Kutch; Evangelos A Theodorou
Journal:  IEEE Rev Biomed Eng       Date:  2009

2.  Estimation of Joint Moments During Turning Maneuvers in Alpine Skiing Using a Three Dimensional Musculoskeletal Skier Model and a Forward Dynamics Optimization Framework.

Authors:  Dieter Heinrich; Antonie J Van den Bogert; Werner Nachbauer
Journal:  Front Bioeng Biotechnol       Date:  2022-06-24

3.  Inverse dynamics of mechanical multibody systems: An improved algorithm that ensures consistency between kinematics and external forces.

Authors:  Herre Faber; Arthur J van Soest; Dinant A Kistemaker
Journal:  PLoS One       Date:  2018-09-28       Impact factor: 3.240

4.  Characterizing Motor Control of Mastication With Soft Actor-Critic.

Authors:  Amir H Abdi; Benedikt Sagl; Venkata P Srungarapu; Ian Stavness; Eitan Prisman; Purang Abolmaesumi; Sidney Fels
Journal:  Front Hum Neurosci       Date:  2020-05-26       Impact factor: 3.169

5.  A Co-driven Functional Electrical Stimulation Control Strategy by Dynamic Surface Electromyography and Joint Angle.

Authors:  Rui Xu; Xinyu Zhao; Ziyao Wang; Hengyu Zhang; Lin Meng; Dong Ming
Journal:  Front Neurosci       Date:  2022-07-08       Impact factor: 5.152

  5 in total

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