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Hockey STAR: A Methodology for Assessing the Biomechanical Performance of Hockey Helmets

Overview of attention for article published in Annals of Biomedical Engineering, March 2015
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Title
Hockey STAR: A Methodology for Assessing the Biomechanical Performance of Hockey Helmets
Published in
Annals of Biomedical Engineering, March 2015
DOI 10.1007/s10439-015-1278-7
Pubmed ID
Authors

Bethany Rowson, Steven Rowson, Stefan M. Duma

Abstract

Optimizing the protective capabilities of helmets is one of several methods of reducing brain injury risk in sports. This paper presents the experimental and analytical development of a hockey helmet evaluation methodology. The Summation of Tests for the Analysis of Risk (STAR) formula combines head impact exposure with brain injury probability over the broad range of 227 head impacts that a hockey player is likely to experience during one season. These impact exposure data are mapped to laboratory testing parameters using a series of 12 impact conditions comprised of three energy levels and four head impact locations, which include centric and non-centric directions of force. Injury risk is determined using a multivariate injury risk function that incorporates both linear and rotational head acceleration measurements. All testing parameters are presented along with exemplar helmet test data. The Hockey STAR methodology provides a scientific framework for manufacturers to optimize hockey helmet design for injury risk reduction, as well as providing consumers with a meaningful metric to assess the relative performance of hockey helmets.

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The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 157 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 23%
Student > Master 24 15%
Student > Bachelor 20 13%
Researcher 15 9%
Student > Doctoral Student 12 8%
Other 18 11%
Unknown 33 21%
Readers by discipline Count As %
Engineering 44 28%
Sports and Recreations 16 10%
Medicine and Dentistry 13 8%
Agricultural and Biological Sciences 10 6%
Nursing and Health Professions 8 5%
Other 16 10%
Unknown 51 32%