Analysis of linear head accelerations from collegiate football impacts
Abstract (Summary)
Sports related concussions result in 300,000 brain injuries in the United States each year. The
purpose of this study was to utilize an in-helmet system that measures and records linear head
accelerations to analyze head impacts from collegiate football. The Head Impact Telemetry
(HIT) System is an in-helmet system with six spring mounted accelerometers and an antenna that
transmits data via radio frequency to a sideline receiver and laptop computer system. The data
reported by the HIT System includes the time of impact, location of impact, and linear
acceleration resultant of the head center of gravity. The algorithm and in-helmet application for
this system were validated in five series of tests. In particular, the validation emphasized that the
HIT System measurements are of the player’s head and not helmet accelerations as evidenced by
the helmet acceleration being 16.6 (± 3.2) times greater than the peak head accelerations
measured by the HIT System and dummy cg accelerometers. Using 130 head impacts in five
different test configurations, the mean error in measuring peak linear acceleration was 0.01%
(±18%). A total of 11,604 head impacts were recorded from the Virginia Tech football team
throughout the 2003 and 2004 football seasons during 22 games and 62 practices from a total of
52 players. The acceleration data distribution was right skewed with a mean impact acceleration
magnitude of 20.9 g and maximum value of 172.6 g. The HIC determined for each impact from
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a 15 millisecond time period was similarly distributed with the mean equal to 17.9, and the
maximum equal to 969.6. A total of three impacts with three different players resulted in
concussions. These impacts had peak linear accelerations of 55.7 g, 136.7 g, and 117.6 g with
HIC values of 120.6, 518.4, and 355.6 respectively. Each of these hits was among the highest
recorded for each respective player. Although the incidence of injury data is limited, this study
presents an extremely large data set from human head impacts that provides valuable insight into
the lower bounds of mild traumatic brain injuries.
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Bibliographical Information:
Advisor:
School:Virginia Polytechnic Institute and State University
School Location:USA - Virginia
Source Type:Master's Thesis
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