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Nano-Composite Foam Sensor System in Football Helmets

Overview of attention for article published in Annals of Biomedical Engineering, September 2017
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Title
Nano-Composite Foam Sensor System in Football Helmets
Published in
Annals of Biomedical Engineering, September 2017
DOI 10.1007/s10439-017-1910-9
Pubmed ID
Authors

A. Jake Merrell, William F. Christensen, Matthew K. Seeley, Anton E. Bowden, David T. Fullwood

Abstract

American football has both the highest rate of concussion incidences as well as the highest number of concussions of all contact sports due to both the number of athletes and nature of the sport. Recent research has linked concussions with long term health complications such as chronic traumatic encephalopathy and early onset Alzheimer's. Understanding the mechanical characteristics of concussive impacts is critical to help protect athletes from these debilitating diseases and is now possible using helmet-based sensor systems. To date, real time on-field measurement of head impacts has been almost exclusively measured by devices that rely on accelerometers or gyroscopes attached to the player's helmet, or embedded in a mouth guard. These systems monitor motion of the head or helmet, but do not directly measure impact energy. This paper evaluates the accuracy of a novel, multifunctional foam-based sensor that replaces a portion of the helmet foam to measure impact. All modified helmets were tested using a National Operating Committee Standards for Athletic Equipment-style drop tower with a total of 24 drop tests (4 locations with 6 impact energies). The impacts were evaluated using a headform, instrumented with a tri-axial accelerometer, mounted to a Hybrid III neck assembly. The resultant accelerations were evaluated for both the peak acceleration and the severity indices. These data were then compared to the voltage response from multiple Nano Composite Foam sensors located throughout the helmet. The foam sensor system proved to be accurate in measuring both the HIC and Gadd severity index, as well as peak acceleration while also providing additional details that were previously difficult to obtain, such as impact energy.

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Geographical breakdown

Country Count As %
Unknown 120 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 21 18%
Student > Ph. D. Student 16 13%
Researcher 11 9%
Student > Master 10 8%
Student > Doctoral Student 10 8%
Other 17 14%
Unknown 35 29%
Readers by discipline Count As %
Engineering 18 15%
Medicine and Dentistry 15 13%
Sports and Recreations 12 10%
Nursing and Health Professions 5 4%
Materials Science 5 4%
Other 22 18%
Unknown 43 36%