IDEAS home Printed from https://ideas.repec.org/a/taf/gcmbxx/v18y2015i13p1445-1458.html
   My bibliography  Save this article

Benchmarking of dynamic simulation predictions in two software platforms using an upper limb musculoskeletal model

Author

Listed:
  • Katherine R. Saul
  • Xiao Hu
  • Craig M. Goehler
  • Meghan E. Vidt
  • Melissa Daly
  • Anca Velisar
  • Wendy M. Murray

Abstract

Several opensource or commercially available software platforms are widely used to develop dynamic simulations of movement. While computational approaches are conceptually similar across platforms, technical differences in implementation may influence output. We present a new upper limb dynamic model as a tool to evaluate potential differences in predictive behavior between platforms. We evaluated to what extent differences in technical implementations in popular simulation software environments result in differences in kinematic predictions for single and multijoint movements using EMG- and optimization-based approaches for deriving control signals. We illustrate the benchmarking comparison using SIMM–Dynamics Pipeline–SD/Fast and OpenSim platforms. The most substantial divergence results from differences in muscle model and actuator paths. This model is a valuable resource and is available for download by other researchers. The model, data, and simulation results presented here can be used by future researchers to benchmark other software platforms and software upgrades for these two platforms.

Suggested Citation

  • Katherine R. Saul & Xiao Hu & Craig M. Goehler & Meghan E. Vidt & Melissa Daly & Anca Velisar & Wendy M. Murray, 2015. "Benchmarking of dynamic simulation predictions in two software platforms using an upper limb musculoskeletal model," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 18(13), pages 1445-1458, October.
  • Handle: RePEc:taf:gcmbxx:v:18:y:2015:i:13:p:1445-1458
    DOI: 10.1080/10255842.2014.916698
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10255842.2014.916698
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10255842.2014.916698?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Valeriya Gritsenko & Russell L Hardesty & Mathew T Boots & Sergiy Yakovenko, 2016. "Biomechanical Constraints Underlying Motor Primitives Derived from the Musculoskeletal Anatomy of the Human Arm," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-18, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:gcmbxx:v:18:y:2015:i:13:p:1445-1458. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/gcmb .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.