Subproject C02

Subproject C02

Filtering of Multimodal Motion Capture Data through Individualized Musculoskeletal Human Models

Musculoskeletal simulation results are prone to various errors like measurement noise, soft tissue artifacts, and model inaccuracies. These errors lead to dynamically inconsistent simulation results which in turn diminish the meaningfulness of the results. For this reason, the sub-project C02 explores and investigates methods for filtering and analyzing multimodal motion measurement data (e.g. position, orientation, surface data, etc.) using individualized musculoskeletal models.

Through a systematic literature review, the importance of individualized models in musculoskeletal simulations was demonstrated. Generic musculoskeletal models will be individualized in multiple domains by scaling both the skeletal and muscular systems using manual measurement data and population-based data. To gather information about the strength percentile values of a person, EMG alignment based on MVC measurements will be used. Additionally, the investigation of the effect of joint axis individualization on computation results will be assessed.

The individualized musculoskeletal models will then be used to track multimodal experimental motion data, measured using the newly developed EmpkinS technology. A multimodal inverse kinematic method will be used to transfer the measurement data onto the individualized models. Afterwards, a dynamic tracking method should compensate measurement errors and generate dynamically consistent results. It will be researched, if such a sequential process is needed (kinematic tracking followed by dynamic tracking). Or if both kinematic data transfer and measurement error correction can be achieved using only a dynamic tracking method.

Contacts

Dr.-Ing. Jörg Miehling

Principal Investigator

Prof. Dr.-Ing. Sandro Wartzack

Principal Investigator

 

Iris Wechsler, M. Sc.

Doctoral Candidate

David Scherb

Associate Doctoral Candidate

 

 

 

Additional Information

  • Gambietz M., Dröge A., Schüßler C., Stahlke M., Wirth V., Miehling J., Koelewijn A.:
    Unobtrusive Gait Reconstructions using Radar-based Optimal Control Simulations
    Asilomar Conference on Signals, Systems, and Computers (2024)
  • Miehling J., Choisne J., Koelewijn A.:
    Editorial: Human digital twins for medical and product engineering
    In: Frontiers in Bioengineering and Biotechnology 12 (2024). ISSN: 2296-4185. DOI: 10.3389/fbioe.2024.1489975
  • Wechsler I., Wartzack S., Koelewijn A., Miehling J.:
    IMU-based identification method for joint axes in OpenSim – a proof of concept
    29th Congress of the European Society of Biomechanics, Edinburgh. (Edinburgh, 30 Juni 2024 – 3 Juli 2024)
  • Wechsler I., Wolf A., Shanbhag J., Leyendecker S., Eskofier B., Koelewijn A., Wartzack S., Miehling J.:
    Bridging the sim2real gap. Investigating deviations between experimental motion measurements and musculoskeletal simulation results—a systematic review
    In: Frontiers in Bioengineering and Biotechnology 12 (2024). ISSN: 2296-4185. DOI: 10.3389/fbioe.2024.1386874
    URL: https://www.frontiersin.org/articles/10.3389/fbioe.2024.1386874
  • Gambietz M., Nitschke M., Miehling J., Koelewijn A.:
    Contributing components of metabolic energy models to metabolic cost estimations in gait
    IEEE Transactions on Biomedical Engineering (2023)
  • Scherb D., Steck P., Wartzack S., Miehling J.:
    Verification of a passive ankle-foot orthosis design method by using truss models
    28th Congress of the European Society of Biomechanics (Masstricht, 9 Juli 2023 – 12 Juli 2023)
    Open Access: https://esbiomech.org/conference/archive/2023maastricht/659.pdf
  • Scherb D., Steck P., Wechsler I., Wartzack S., Miehling J.:
    The Determination of Assistance-as-Needed Support by an Ankle–Foot Orthosis for Patients with Foot Drop
    Int. Journal of Environmental Research and Public Health (2023)
  • Scherb D., Wartzack S., Miehling J.:
    Modelling the interaction between wearable assistive devices and digital human models—A systematic review
    Frontiers in Bioengineering and Biotechnology (2023)
  • Shanbhag J., Wolf A., Wechsler I., Fleischmann S., Winkler J., Leyendecker S., Eskofier B., Koelewijn A., Wartzack S., Miehling J.:
    Methods for integrating postural control into biomechanical human simulations: A systematic review
    Journal of NeuroEngineering and Rehabilitation (2023)
  • Wechsler I., Koelewijn A., Wartzack S., Miehling J.:
    Towards individualized biomechanical models in multiple domains
    28th Congress of the European Society of Biomechanics (Maastricht, 9 Juli 2023 – 12 Juli 2023)
  • Wechsler I., Wolf A., Fleischmann S., Waibel J., Molz C., Scherb D., Shanbhag J., Franz M., Wartzack S., Miehling J.:
    Method for Using IMU-Based Experimental Motion Data in BVH Format for Musculoskeletal Simulations via OpenSim
    Sensors (2023)
  • Gambietz M., Nitschke M., Miehling J., Koelewijn A.:
    What should a metabolic energy model look like? Sensitivity of metabolic energy model parameters during gait
    9th World Congress of Biomechanics 2022 Taipei (Taipei, 10 Juli 2022 – 14 Juli 2022)
  • Wechsler I., Wolf A., Wartzack S., Miehling J.:
    Enhancing Dynamic Consistency of Multimodal Motion Data in Musculoskeletal Simulation
    27th Congress of the European Society of Biomechanics (Porto, 26 Juni 2022 – 29 Juni 2022)