Literature DB >> 28900565

COMPARISON OF A HEAD MOUNTED IMPACT MEASUREMENT DEVICE TO THE HYBRID III ANTHROPOMORPHIC TESTING DEVICE IN A CONTROLLED LABORATORY SETTING.

Eric Schussler1, David Stark2, John H Bolte2, Yun Seok Kang2, James A Onate2.   

Abstract

BACKGROUND: Reports estimate that 1.6 to 3.8 million cases of concussion occur in sports and recreation each year in the United States. Despite continued efforts to reduce the occurrence of concussion, the rate of diagnosis continues to increase. The mechanisms of concussion are thought to involve linear and rotational head accelerations and velocities. One method of quantifying the kinematics experienced during sport participation is to place measurement devices into the athlete's helmet or directly on the athlete's head.
PURPOSE: The purpose of this research to determine the accuracy of a head mounted device for measuring the head accelerations experienced by the wearer. This will be accomplished by identifying the error in Peak Linear Acceleration (PLA), Peak Rotational Acceleration (PRA) and Peak Rotational Velocity (PRV) of the device. STUDY
DESIGN: Laboratory study.
METHODS: A helmeted Hybrid III 50th percentile male headform was impacted via a pneumatic ram from the front, side, rear, front oblique and rear oblique at speeds from 1.5 to 5 m/s. The X2 Biosystems xPatch® (Seattle, WA) sensor was placed on the headform's right side at the approximate location of the mastoid process. Measures of PLA, PRA, PRV from the xPatch ® and Hybrid III were analyzed for Root Mean Square Error (RMSE), and Absolute and Relative Error (AE, RE). RESULT: Seventy-six impacts were analyzed. All measures of correlation, fixed through the origin, were found to be strong: PLA R2=0.967 p<0.01, PRA R2=0.933 p<0.01, PRV R2=0.999 p<0.00. PLA RMSE was 34%, RE 31.0%±14.0, and AE 31.1%±13.7. PRA RMSE was 23.4%, RE -6.7 ± 22.4 and AE 18.9%±13.8. PRV RMSE was 2.2%, RE 0.1 ± 2.2, and AE 1.8 ± 1.3.
CONCLUSION: Without including corrections for effect of skin artifact, the xPatch® produces measurements highly correlated with the gold standard yet above the average error of testing devices in both PLA and PRA, but a low error in PRV. PLA measures from the xPatch® system demonstrated a high level of correlation with the PLA data from the Hybrid III mounted data collection system. LEVEL OF EVIDENCE: 3.

Keywords:  Concussion; head acceleration; head velocity

Year:  2017        PMID: 28900565      PMCID: PMC5534149     

Source DB:  PubMed          Journal:  Int J Sports Phys Ther        ISSN: 2159-2896


  27 in total

1.  Epidemiology of concussion in collegiate and high school football players.

Authors:  K M Guskiewicz; N L Weaver; D A Padua; W E Garrett
Journal:  Am J Sports Med       Date:  2000 Sep-Oct       Impact factor: 6.202

2.  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

3.  Instrumented mouthguard acceleration analyses for head impacts in amateur rugby union players over a season of matches.

Authors:  Doug King; Patria A Hume; Matt Brughelli; Conor Gissane
Journal:  Am J Sports Med       Date:  2014-12-22       Impact factor: 6.202

4.  The epidemiology and impact of traumatic brain injury: a brief overview.

Authors:  Jean A Langlois; Wesley Rutland-Brown; Marlena M Wald
Journal:  J Head Trauma Rehabil       Date:  2006 Sep-Oct       Impact factor: 2.710

5.  Six Degree-of-Freedom Measurements of Human Mild Traumatic Brain Injury.

Authors:  Fidel Hernandez; Lyndia C Wu; Michael C Yip; Kaveh Laksari; Andrew R Hoffman; Jaime R Lopez; Gerald A Grant; Svein Kleiven; David B Camarillo
Journal:  Ann Biomed Eng       Date:  2014-12-23       Impact factor: 3.934

6.  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

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

Authors:  Jonathan G Beckwith; Richard M Greenwald; Jeffrey J Chu
Journal:  Ann Biomed Eng       Date:  2011-10-13       Impact factor: 3.934

8.  An instrumented mouthguard for measuring linear and angular head impact kinematics in American football.

Authors:  David B Camarillo; Pete B Shull; James Mattson; Rebecca Shultz; Daniel Garza
Journal:  Ann Biomed Eng       Date:  2013-04-19       Impact factor: 3.934

9.  Development of brain injury criteria (BrIC).

Authors:  Erik G Takhounts; Matthew J Craig; Kevin Moorhouse; Joe McFadden; Vikas Hasija
Journal:  Stapp Car Crash J       Date:  2013-11

10.  Inadequate Helmet Fit Increases Concussion Severity in American High School Football Players.

Authors:  Dustin A Greenhill; Paul Navo; Huaqing Zhao; Joseph Torg; R Dawn Comstock; Barry P Boden
Journal:  Sports Health       Date:  2016-03-22       Impact factor: 3.843

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  3 in total

1.  An acute bout of controlled subconcussive impacts can alter dynamic cerebral autoregulation indices: a preliminary investigation.

Authors:  Jonathan D Smirl; Dakota Peacock; Joel S Burma; Alexander D Wright; Kevin J Bouliane; Jill Dierijck; Michael Kennefick; Colin Wallace; Paul van Donkelaar
Journal:  Eur J Appl Physiol       Date:  2022-02-16       Impact factor: 3.078

2.  Head Impact Research Using Inertial Sensors in Sport: A Systematic Review of Methods, Demographics, and Factors Contributing to Exposure.

Authors:  Enora Le Flao; Gunter P Siegmund; Robert Borotkanics
Journal:  Sports Med       Date:  2021-10-22       Impact factor: 11.136

3.  THE EFFECT OF TACKLING TRAINING ON HEAD ACCELERATIONS IN YOUTH AMERICAN FOOTBALL.

Authors:  Eric Schussler; Richard J Jagacinski; Susan E White; Ajit M Chaudhari; John A Buford; James A Onate
Journal:  Int J Sports Phys Ther       Date:  2018-04
  3 in total

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