IDEAS home Printed from https://ideas.repec.org/a/jfr/jbar11/v6y2017i2p50-62.html
   My bibliography  Save this article

Kinematics of Shoulder Injuries in Throwing Sports

Author

Listed:
  • Hongqiong Deng
  • Yuan Li
  • Hong Xie
  • Shiwei Li

Abstract

Muscle injury mechanism should be studied to know how to prevent the muscle injuries. The purpose of this article is to construct a protecting model of shoulder injuries based on classical mechanism and kinematics in throwing sports like baseball pitching, badminton smash, volleyball smash, javelin throwing process etc, and then introduce the products design. Firstly, the biomechanics of muscle were analyzed based on Newton's classical mechanics; then a finite element analysis was used to simulate the shoulder muscles protection. Protective parameters were got to make the protective clothes; finally, the protective performance and the comfortableness has been evaluated by ten healthy participants with the mean age, height, body mass were 23.5 years (SD, 1.5), 1.75m (SD, 0.07), 60.5 kg (SD, 9.1), respectively. The throwing test including the baseball pitching, the badminton smash, the process of volleyball smash, and the javelin throwing process. Three protective clothes have been produced and all of them have a protective effect on the muscle while participants were doing the baseball pitching motion, the badminton smashes motion and the volleyball smash. And it has also met the requirement of the human body. But protecting effect each style given was different in different sports motions.

Suggested Citation

  • Hongqiong Deng & Yuan Li & Hong Xie & Shiwei Li, 2017. "Kinematics of Shoulder Injuries in Throwing Sports," Journal of Business Administration Research, Journal of Business Administration Research, Sciedu Press, vol. 6(2), pages 50-62, October.
  • Handle: RePEc:jfr:jbar11:v:6:y:2017:i:2:p:50-62
    as

    Download full text from publisher

    File URL: http://www.sciedupress.com/journal/index.php/jbar/article/download/12394/7633
    Download Restriction: no

    File URL: http://www.sciedupress.com/journal/index.php/jbar/article/view/12394
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Brinkerink, Jasper & De Massis, Alfredo & Kellermanns, Franz, 2022. "One finding is no finding: Toward a replication culture in family business research," Journal of Family Business Strategy, Elsevier, vol. 13(4).

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:jfr:jbar11:v:6:y:2017:i:2:p:50-62. 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: Grace Lee (email available below). General contact details of provider: http://jbar.sciedupress.com .

    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.