Non-invasive techniques for musculoskeletal model calibration

Abstract : Subject-specific musculoskeletal models are mandatory to conduct efficient analyses of muscle and joint forces involved in human motion. Thus, proper model calibration at geometrical, inertial, and muscular levels is critical. This article present a threefold approach for model calibration that can be easily deployed in any biomechanical lab equipped with classical motion analysis facilities. First, motion capture data is used to calibrate geometrical parameters of the model (bones lengths, joint centers, and joint orientations). The calibration minimizes the distance between real and reconstructed trajectories of markers. Second, motion capture and force platforms data are used to calibrate inertial parameters of the model. The calibration minimizes the residual forces arising from the model inertial inaccuracies in the dynamics of the system. Last, isokinetic ergometer data are used to calibrate muscular parameters. The calibration minimizes the distance between the experimental maximal isometric torque curve and the simulated one for a given joint. Examples are provided throughout the paper and results are discussed. A focus is made on the idea of using such methods as a tool in any motion analysis lab.
Document type :
Conference papers
Complete list of metadatas

Cited literature [36 references]  Display  Hide  Download

https://hal.inria.fr/hal-01524330
Contributor : Charles Pontonnier <>
Submitted on : Wednesday, May 17, 2017 - 8:50:40 PM
Last modification on : Friday, September 13, 2019 - 9:48:03 AM

File

Mulleretal_CFM2017.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01524330, version 1

Citation

Antoine Muller, Diane Haering, Charles Pontonnier, Georges Dumont. Non-invasive techniques for musculoskeletal model calibration. Congrès Français de Mécanique, Aug 2017, Lille, France. ⟨hal-01524330⟩

Share

Metrics

Record views

717

Files downloads

289