Literature DB >> 21994068

Measuring head kinematics in football: correlation between the head impact telemetry system and Hybrid III headform.

Jonathan G Beckwith1, Richard M Greenwald, Jeffrey J Chu.   

Abstract

Over the last decade, advances in technology have enabled researchers to evaluate concussion biomechanics through measurement of head impacts sustained during play using two primary methods: (1) laboratory reconstruction of open-field head contact, and (2) instrumented helmets. The purpose of this study was to correlate measures of head kinematics recorded by the Head Impact Telemetry (HIT) System (Simbex, NH) with those obtained from a Hybrid III (HIII) anthropometric headform under conditions that mimicked impacts occurring in the NFL. Linear regression analysis was performed to correlate peak linear acceleration, peak rotational acceleration, Gadd Severity Index (GSI), and Head Injury Criterion (HIC(15)) obtained from the instrumented helmet and HIII. The average absolute location error between instrumented helmet impact location and the direction of HIII head linear acceleration were also calculated. The HIT System overestimated Hybrid III peak linear acceleration by 0.9% and underestimated peak rotational acceleration by 6.1% for impact sites and velocities previously identified by the NFL as occurring during play. Acceleration measures for all impacts were correlated; however, linear was higher (r(2) = 0.903) than rotational (r(2) = 0.528) primarily due to lower HIT System rotational acceleration estimates at the frontal facemask test site. Severity measures GSI and HIC were also found to be correlated, albeit less than peak linear acceleration, with the overall difference between the two systems being less than 6.1% for either measure. Mean absolute impact location difference between systems was 31.2 ± 46.3° (approximately 0.038 ± 0.050 m), which was less than the diameter of the impactor surface in the test. In instances of severe helmet deflection (2.54-7.62 cm off the head), the instrumented helmet accurately measured impact location but overpredicted all severity metrics recorded by the HIII. Results from this study indicate that measurements from the two methods of study are correlated and provide a link that can be used to better interpret findings from future study using either technology.

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Mesh:

Year:  2011        PMID: 21994068      PMCID: PMC3248620          DOI: 10.1007/s10439-011-0422-2

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  34 in total

1.  Comparison of impact data in hockey, football, and soccer.

Authors:  R S Naunheim; J Standeven; C Richter; L M Lewis
Journal:  J Trauma       Date:  2000-05

2.  Background on the National Football League's research on concussion in professional football.

Authors:  Elliot J Pellman
Journal:  Neurosurgery       Date:  2003-10       Impact factor: 4.654

3.  An investigation of the NOCSAE linear impactor test method based on in vivo measures of head impact acceleration in American football.

Authors:  Joseph T Gwin; Jeffery J Chu; Solomon G Diamond; P David Halstead; Joseph J Crisco; Richard M Greenwald
Journal:  J Biomech Eng       Date:  2010-01       Impact factor: 2.097

4.  Concussion in professional football: helmet testing to assess impact performance--part 11.

Authors:  Elliot J Pellman; David C Viano; Chris Withnall; Nick Shewchenko; Cynthia A Bir; P David Halstead
Journal:  Neurosurgery       Date:  2006-01       Impact factor: 4.654

5.  Head acceleration is less than 10 percent of helmet acceleration in football impacts.

Authors:  Sarah Manoogian; David McNeely; Stefan Duma; Gunnar Brolinson; Richard Greenwald
Journal:  Biomed Sci Instrum       Date:  2006

6.  Analysis of linear head accelerations from collegiate football impacts.

Authors:  P Gunnar Brolinson; Sarah Manoogian; David McNeely; Mike Goforth; Richard Greenwald; Stefan Duma
Journal:  Curr Sports Med Rep       Date:  2006-02       Impact factor: 1.733

7.  Peak head acceleration of athletes during competition--football.

Authors:  D W Moon; C W Beedle; C R Kovacic
Journal:  Med Sci Sports       Date:  1971

8.  Head impact exposure in collegiate football players.

Authors:  Joseph J Crisco; Bethany J Wilcox; Jonathan G Beckwith; Jeffrey J Chu; Ann-Christine Duhaime; Steven Rowson; Stefan M Duma; Arthur C Maerlender; Thomas W McAllister; Richard M Greenwald
Journal:  J Biomech       Date:  2011-08-27       Impact factor: 2.712

Review 9.  Concussion in professional football: epidemiological features of game injuries and review of the literature--part 3.

Authors:  Elliot J Pellman; John W Powell; David C Viano; Ira R Casson; Andrew M Tucker; Henry Feuer; Mark Lovell; Joseph F Waeckerle; Douglas W Robertson
Journal:  Neurosurgery       Date:  2004-01       Impact factor: 4.654

10.  Recurrent concussion and risk of depression in retired professional football players.

Authors:  Kevin M Guskiewicz; Stephen W Marshall; Julian Bailes; Michael McCrea; Herndon P Harding; Amy Matthews; Johna Register Mihalik; Robert C Cantu
Journal:  Med Sci Sports Exerc       Date:  2007-06       Impact factor: 5.411

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  71 in total

Review 1.  The Influence of Head Impact Threshold for Reporting Data in Contact and Collision Sports: Systematic Review and Original Data Analysis.

Authors:  D King; P Hume; C Gissane; M Brughelli; T Clark
Journal:  Sports Med       Date:  2016-02       Impact factor: 11.136

2.  A network-based response feature matrix as a brain injury metric.

Authors:  Shaoju Wu; Wei Zhao; Bethany Rowson; Steven Rowson; Songbai Ji
Journal:  Biomech Model Mechanobiol       Date:  2019-11-23

3.  Football helmet impact standards in relation to on-field impacts.

Authors:  David W Sproule; Eamon T Campolettano; Steven Rowson
Journal:  Proc Inst Mech Eng P J Sport Eng Technol       Date:  2017-07-12       Impact factor: 1.263

4.  Effect of Neck Strength on Simulated Head Impacts During Falls in Female Ice Hockey Players.

Authors:  Brittany Pennock; Derek Kivi; Carlos Zerpa
Journal:  Int J Exerc Sci       Date:  2021-04-01

5.  Performance Evaluation of a Pre-computed Brain Response Atlas in Dummy Head Impacts.

Authors:  Wei Zhao; Calvin Kuo; Lyndia Wu; David B Camarillo; Songbai Ji
Journal:  Ann Biomed Eng       Date:  2017-07-14       Impact factor: 3.934

6.  Player and Game Characteristics and Head Impacts in Female Youth Ice Hockey Players.

Authors:  Nick Reed; Tim Taha; Richard Greenwald; Michelle Keightley
Journal:  J Athl Train       Date:  2017-07-17       Impact factor: 2.860

Review 7.  Head-Impact-Measurement Devices: A Systematic Review.

Authors:  Kathryn L O'Connor; Steven Rowson; Stefan M Duma; Steven P Broglio
Journal:  J Athl Train       Date:  2017-03       Impact factor: 2.860

8.  Spectrum of acute clinical characteristics of diagnosed concussions in college athletes wearing instrumented helmets: clinical article.

Authors:  Ann-Christine Duhaime; Jonathan G Beckwith; Arthur C Maerlender; Thomas W McAllister; Joseph J Crisco; Stefan M Duma; P Gunnar Brolinson; Steven Rowson; Laura A Flashman; Jeffrey J Chu; Richard M Greenwald
Journal:  J Neurosurg       Date:  2012-10-02       Impact factor: 5.115

9.  Head-impact mechanisms in men's and women's collegiate ice hockey.

Authors:  Bethany J Wilcox; Jason T Machan; Jonathan G Beckwith; Richard M Greenwald; Emily Burmeister; Joseph J Crisco
Journal:  J Athl Train       Date:  2014-08-06       Impact factor: 2.860

10.  In Vivo Evaluation of Wearable Head Impact Sensors.

Authors:  Lyndia C Wu; Vaibhav Nangia; Kevin Bui; Bradley Hammoor; Mehmet Kurt; Fidel Hernandez; Calvin Kuo; David B Camarillo
Journal:  Ann Biomed Eng       Date:  2015-08-20       Impact factor: 3.934

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