Contributions méthodologiques à l'analyse musculo-squelettique de l'humain dans l'objectif d'un compromis précision performance

Abstract : Musculoskeletal analysis becomes popular in applications fields such as ergonomics, rehabilitation or sports. This analysis enables an estimation of joint reaction forces and muscles tensions generated during motion. Models and methods used in such an analysis give more and more accurate results. As a consequence, performances of software are limited: computation time increases, and experimental protocols and associated post-process are long and tedious to define subject-specific models. Finally, such software need a high expertise level to be driven properly.In order to democratize the use of musculoskeletal analysis for a wide range of users, this thesis proposes contributions enabling better performances of such analyses and preserving accuracy, as well as contributions enabling an easy subject-specific model calibration. Firstly, in order to control the whole analysis process, the thesis is developed in a global approach of all the analysis steps: kinematics, dynamics and muscle forces estimation. For all of these steps, quick analysis methods have been proposed. Particularly, a quick muscle force sharing problem resolution method has been proposed, based on interpolated data. Moreover, a complete calibration process, based on classical motion analysis tools available in a biomechanical lab has been developed, based on motion capture and force platform data.
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Antoine Muller. Contributions méthodologiques à l'analyse musculo-squelettique de l'humain dans l'objectif d'un compromis précision performance. Biomécanique [physics.med-ph]. École normale supérieure de Rennes, 2017. Français. ⟨NNT : 2017ENSR0007⟩. ⟨tel-01591365⟩

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