IDEAS home Printed from https://ideas.repec.org/a/taf/gcmbxx/v13y2010i6p723-729.html
   My bibliography  Save this article

A muscle-path-plane method for representing muscle contraction during joint movement

Author

Listed:
  • Gang Tang
  • Cheng-Tao Wang

Abstract

Traditional muscle paths (the straight-line model and the viapoint-line model) emphasise either the mechanical properties that arouse joint movement or the morphological characteristics of the muscles. To consider both the factors, a muscle-path-plane (MPP) method is introduced to model the paths of muscles during joint movement. This method is based on the premise that there is a MPP, constructed by origin, insertion and MPP control point, which represents the major direction of the muscle contraction for an arbitrary joint configuration at any time. Then, we can calculate the functions and the lengths of the muscle paths during instantaneous joint movement in MPP by mathematical approaches. Taking the triceps brachii as an example, the lengths of its paths during elbow flexion are calculated and compared with the relative studies reported in the literature. It is concluded that this method can provide an insight into the simulation of the muscle contraction.

Suggested Citation

  • Gang Tang & Cheng-Tao Wang, 2010. "A muscle-path-plane method for representing muscle contraction during joint movement," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 13(6), pages 723-729.
  • Handle: RePEc:taf:gcmbxx:v:13:y:2010:i:6:p:723-729
    DOI: 10.1080/10255840903535904
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10255840903535904
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10255840903535904?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. Gang Tang & Liwei Qian & Dongmei Wang & Gaofeng Wei & Daofang Chang & Chengtao Wang & Weijian Mi, 2014. "Upper limb kinematical analysis of an elite weight lifter in the squat snatch," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 17(4), pages 388-394, March.

    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:13:y:2010:i:6:p:723-729. 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.