Author
Listed:
- Andrew Post
- Marshall Kendall
- Janie Cournoyer
- Clara Karton
- R. Anna Oeur
- Lauren Dawson
- T. Blaine Hoshizaki
Abstract
Concussion in American football is a prevalent concern. Research has been conducted examining frequencies, location, and thresholds for concussion from impacts. Little work has been done examining how impact location may affect risk of concussive injury. The purpose of this research was to examine how impact site on the helmet and type of impact, affects the risk of concussive injury as quantified using finite element modelling of the human head and brain. A linear impactor was used to impact a helmeted Hybrid III headform in several locations and using centric and non-centric impact vectors. The resulting dynamic response was used as input for the Wayne State Brain Injury Model to determine the risk of concussive injury by utilizing maximum principal strain as the predictive variable. The results demonstrated that impacts that occur primarily to the side of the head resulted in higher magnitudes of strain in the grey and white matter, as well as the brain stem. Finally, commonly worn American football helmets were used in this research and significant risk of injury was incurred for all impacts. These results suggest that improvements in American football helmets are warranted, in particular for impacts to the side of the helmet.
Suggested Citation
Andrew Post & Marshall Kendall & Janie Cournoyer & Clara Karton & R. Anna Oeur & Lauren Dawson & T. Blaine Hoshizaki, 2018.
"Brain tissue analysis of impacts to American football helmets,"
Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 21(3), pages 264-277, February.
Handle:
RePEc:taf:gcmbxx:v:21:y:2018:i:3:p:264-277
DOI: 10.1080/10255842.2018.1445229
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
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:21:y:2018:i:3:p:264-277. 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.