4.3 Article

Analysis of real-time head accelerations in collegiate football players

期刊

CLINICAL JOURNAL OF SPORT MEDICINE
卷 15, 期 1, 页码 3-8

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/00042752-200501000-00002

关键词

acceleration; helmet; football; concussion; head

资金

  1. EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH &HUMAN DEVELOPMENT [R43HD040743] Funding Source: NIH RePORTER
  2. NICHD NIH HHS [R43HD40743] Funding Source: Medline

向作者/读者索取更多资源

Objective: To measure and analyze head accelerations during American collegiate football practices and games. sands of head impact events and providing contemporaneous head impact parameters that can be integrated with existing clinical evaluation techniques. Methods: A newly developed in-helmet 6-accelerometer system that transmits data via radio frequency to a sideline receiver and laptop computer system was implemented. From the data transfer of these accelerometer traces, the sideline staff has real-time data including the head acceleration, the head injury criteria value, the severity index value, and the impact location. Data are presented for instrumented players for the entire 2003 football season, including practices and games. Setting: American collegiate football. Subjects: Thirty-eight players from Virginia Tech's varsity football team. Main Outcome Measurements: Accelerations and pathomechanics of head impacts. Results: A total of 3312 impacts were recorded over 35 practices and 10 games for 38 players. The average peak head acceleration, Gadd Severity Index, and Head Injury Criteria were 32 g +/- 25 g, 36 g +/- 91 g, and 26 g +/- 64 g, respectively. One concussive event was observed with a peak acceleration of 81 g, a 267 Gadd Severity Index, and 200 Head Injury Criteria. Because the concussion was not reported until the day after of the event, a retrospective diagnosis based on his history and clinical evaluation suggested a mild concussion. Conclusions: The primary finding of this study is that the helmet-mounted accelerometer system proved effective at collecting thousands of head impact events and providing contemporaneous head impact parameters that can be integrated with existing clinical evaluation techniques.

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