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Comparison of Ice Hockey Goaltender Helmets for Concussion Type Impacts

Overview of attention for article published in Annals of Biomedical Engineering, March 2018
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Title
Comparison of Ice Hockey Goaltender Helmets for Concussion Type Impacts
Published in
Annals of Biomedical Engineering, March 2018
DOI 10.1007/s10439-018-2017-7
Pubmed ID
Authors

J. Michio Clark, Karen Taylor, Andrew Post, T. Blaine Hoshizaki, Michael D. Gilchrist

Abstract

Concussions are among the most common injuries sustained by ice hockey goaltenders and can result from collisions, falls and puck impacts. However, ice hockey goaltender helmet certification standards solely involve drop tests to a rigid surface. This study examined how the design characteristics of different ice hockey goaltender helmets affect head kinematics and brain strain for the three most common impact events associated with concussion for goaltenders. A NOCSAE headform was impacted under conditions representing falls, puck impacts and shoulder collisions while wearing three different types of ice hockey goaltender helmet models. Resulting linear and rotational acceleration as well as maximum principal strain were measured for each impact condition. The results indicate that a thick liner and stiff shell material are desirable design characteristics for falls and puck impacts to reduce head kinematic and brain tissue responses. However for collisions, the shoulder being more compliant than the materials of the helmet causes insufficient compression of the helmet materials and minimizing any potential performance differences. This suggests that current ice hockey goaltender helmets can be optimized for protection against falls and puck impacts. However, given collisions are the leading cause of concussion for ice hockey goaltenders and the tested helmets provided little to no protection, a clear opportunity exists to design new goaltender helmets which can better protect ice hockey goaltenders from collisions.

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Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 23%
Student > Master 8 15%
Student > Bachelor 7 13%
Professor 3 6%
Other 2 4%
Other 7 13%
Unknown 13 25%
Readers by discipline Count As %
Engineering 13 25%
Sports and Recreations 6 12%
Medicine and Dentistry 4 8%
Nursing and Health Professions 3 6%
Unspecified 2 4%
Other 4 8%
Unknown 20 38%