Measuring Blunt Force Head Impacts in Athletes
Abstract Introduction Although concussion continues to be a major source of acute and chronic injuries, concussion injury mechanisms and risk functions are ill-defined. This lack of definition has hindered efforts to develop standardized concussion monitoring, safety testing, and protective counterm...
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Published in | Military medicine Vol. 185; no. Supplement_1; pp. 190 - 196 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Oxford University Press
07.01.2020
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Subjects | |
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Abstract | Abstract
Introduction
Although concussion continues to be a major source of acute and chronic injuries, concussion injury mechanisms and risk functions are ill-defined. This lack of definition has hindered efforts to develop standardized concussion monitoring, safety testing, and protective countermeasures. To overcome this knowledge gap, we have developed, tested, and deployed a head impact monitoring mouthguard (IMM) system.
Materials and Methods
The IMM system was first calibrated in 731 laboratory tests. Versus reference, Laboratory IMM data fit a linear model, with results close to the ideal linear model of form y = x + 0, R2 = 1. Next, during on-field play involving n = 54 amateur American athletes in football and boxing, there were tens of thousands of events collected by the IMM. A total of 890 true-positive head impacts were confirmed using a combination of signal processing and National Institute of Neurological Disorders and Stroke/National Institutes of Health Common Data Elements methods.
Results
The median and 99th percentile of peak scalar linear acceleration and peak angular acceleration were 20 and 50 g and 1,700 and 4,600 rad/s2, respectively. No athletes were diagnosed with concussion.
Conclusions
While these data are useful for preliminary human tolerance limits, a larger population must be used to quantify real-world dose response as a function of impact magnitude, direction, location, and accumulation. This work is ongoing. |
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AbstractList | Introduction Although concussion continues to be a major source of acute and chronic injuries, concussion injury mechanisms and risk functions are ill-defined. This lack of definition has hindered efforts to develop standardized concussion monitoring, safety testing, and protective countermeasures. To overcome this knowledge gap, we have developed, tested, and deployed a head impact monitoring mouthguard (IMM) system. Materials and Methods The IMM system was first calibrated in 731 laboratory tests. Versus reference, Laboratory IMM data fit a linear model, with results close to the ideal linear model of form y = x + 0, R2 = 1. Next, during on-field play involving n = 54 amateur American athletes in football and boxing, there were tens of thousands of events collected by the IMM. A total of 890 true-positive head impacts were confirmed using a combination of signal processing and National Institute of Neurological Disorders and Stroke/National Institutes of Health Common Data Elements methods. Results The median and 99th percentile of peak scalar linear acceleration and peak angular acceleration were 20 and 50 g and 1,700 and 4,600 rad/s2, respectively. No athletes were diagnosed with concussion. Conclusions While these data are useful for preliminary human tolerance limits, a larger population must be used to quantify real-world dose response as a function of impact magnitude, direction, location, and accumulation. This work is ongoing. Abstract Introduction Although concussion continues to be a major source of acute and chronic injuries, concussion injury mechanisms and risk functions are ill-defined. This lack of definition has hindered efforts to develop standardized concussion monitoring, safety testing, and protective countermeasures. To overcome this knowledge gap, we have developed, tested, and deployed a head impact monitoring mouthguard (IMM) system. Materials and Methods The IMM system was first calibrated in 731 laboratory tests. Versus reference, Laboratory IMM data fit a linear model, with results close to the ideal linear model of form y = x + 0, R2 = 1. Next, during on-field play involving n = 54 amateur American athletes in football and boxing, there were tens of thousands of events collected by the IMM. A total of 890 true-positive head impacts were confirmed using a combination of signal processing and National Institute of Neurological Disorders and Stroke/National Institutes of Health Common Data Elements methods. Results The median and 99th percentile of peak scalar linear acceleration and peak angular acceleration were 20 and 50 g and 1,700 and 4,600 rad/s2, respectively. No athletes were diagnosed with concussion. Conclusions While these data are useful for preliminary human tolerance limits, a larger population must be used to quantify real-world dose response as a function of impact magnitude, direction, location, and accumulation. This work is ongoing. INTRODUCTIONAlthough concussion continues to be a major source of acute and chronic injuries, concussion injury mechanisms and risk functions are ill-defined. This lack of definition has hindered efforts to develop standardized concussion monitoring, safety testing, and protective countermeasures. To overcome this knowledge gap, we have developed, tested, and deployed a head impact monitoring mouthguard (IMM) system.MATERIALS AND METHODSThe IMM system was first calibrated in 731 laboratory tests. Versus reference, Laboratory IMM data fit a linear model, with results close to the ideal linear model of form y = x + 0, R2 = 1. Next, during on-field play involving n = 54 amateur American athletes in football and boxing, there were tens of thousands of events collected by the IMM. A total of 890 true-positive head impacts were confirmed using a combination of signal processing and National Institute of Neurological Disorders and Stroke/National Institutes of Health Common Data Elements methods.RESULTSThe median and 99th percentile of peak scalar linear acceleration and peak angular acceleration were 20 and 50 g and 1,700 and 4,600 rad/s2, respectively. No athletes were diagnosed with concussion.CONCLUSIONSWhile these data are useful for preliminary human tolerance limits, a larger population must be used to quantify real-world dose response as a function of impact magnitude, direction, location, and accumulation. This work is ongoing. Although concussion continues to be a major source of acute and chronic injuries, concussion injury mechanisms and risk functions are ill-defined. This lack of definition has hindered efforts to develop standardized concussion monitoring, safety testing, and protective countermeasures. To overcome this knowledge gap, we have developed, tested, and deployed a head impact monitoring mouthguard (IMM) system. The IMM system was first calibrated in 731 laboratory tests. Versus reference, Laboratory IMM data fit a linear model, with results close to the ideal linear model of form y = x + 0, R2 = 1. Next, during on-field play involving n = 54 amateur American athletes in football and boxing, there were tens of thousands of events collected by the IMM. A total of 890 true-positive head impacts were confirmed using a combination of signal processing and National Institute of Neurological Disorders and Stroke/National Institutes of Health Common Data Elements methods. The median and 99th percentile of peak scalar linear acceleration and peak angular acceleration were 20 and 50 g and 1,700 and 4,600 rad/s2, respectively. No athletes were diagnosed with concussion. While these data are useful for preliminary human tolerance limits, a larger population must be used to quantify real-world dose response as a function of impact magnitude, direction, location, and accumulation. This work is ongoing. |
Author | McCrea, Michael Dama, Rajiv Miele, Vincent Stemper, Brian Benzel, Edward Shah, Alok Bartsch, Adam Samorezov, Sergey Humm, John Alberts, Jay |
AuthorAffiliation | 4 Medical College of Wisconsin , Zablocki VA Center, 500 W National Ave, Milwaukee, WI 53295 1 Prevent Biometrics , 4530 W 77th St, Suite 300, Edina, MN 55435 2 Cleveland Clinic , 9500 Euclid Ave, Cleveland, OH 44190 3 University of Pittsburgh Medical Center , 200 Lothrop St, Pittsburgh, PA 15213 |
AuthorAffiliation_xml | – name: 1 Prevent Biometrics , 4530 W 77th St, Suite 300, Edina, MN 55435 – name: 2 Cleveland Clinic , 9500 Euclid Ave, Cleveland, OH 44190 – name: 3 University of Pittsburgh Medical Center , 200 Lothrop St, Pittsburgh, PA 15213 – name: 4 Medical College of Wisconsin , Zablocki VA Center, 500 W National Ave, Milwaukee, WI 53295 |
Author_xml | – sequence: 1 givenname: Adam surname: Bartsch fullname: Bartsch, Adam organization: Prevent Biometrics, 4530 W 77th St, Suite 300, Edina, MN 55435 – sequence: 2 givenname: Rajiv surname: Dama fullname: Dama, Rajiv organization: Prevent Biometrics, 4530 W 77th St, Suite 300, Edina, MN 55435 – sequence: 3 givenname: Jay surname: Alberts fullname: Alberts, Jay organization: Cleveland Clinic, 9500 Euclid Ave, Cleveland, OH 44190 – sequence: 4 givenname: Sergey surname: Samorezov fullname: Samorezov, Sergey organization: Cleveland Clinic, 9500 Euclid Ave, Cleveland, OH 44190 – sequence: 5 givenname: Edward surname: Benzel fullname: Benzel, Edward organization: Cleveland Clinic, 9500 Euclid Ave, Cleveland, OH 44190 – sequence: 6 givenname: Vincent surname: Miele fullname: Miele, Vincent organization: University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 – sequence: 7 givenname: Alok surname: Shah fullname: Shah, Alok organization: Medical College of Wisconsin, Zablocki VA Center, 500 W National Ave, Milwaukee, WI 53295 – sequence: 8 givenname: John surname: Humm fullname: Humm, John organization: Medical College of Wisconsin, Zablocki VA Center, 500 W National Ave, Milwaukee, WI 53295 – sequence: 9 givenname: Michael surname: McCrea fullname: McCrea, Michael organization: Medical College of Wisconsin, Zablocki VA Center, 500 W National Ave, Milwaukee, WI 53295 – sequence: 10 givenname: Brian surname: Stemper fullname: Stemper, Brian organization: Medical College of Wisconsin, Zablocki VA Center, 500 W National Ave, Milwaukee, WI 53295 |
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Introduction
Although concussion continues to be a major source of acute and chronic injuries, concussion injury mechanisms and risk functions are... Although concussion continues to be a major source of acute and chronic injuries, concussion injury mechanisms and risk functions are ill-defined. This lack of... Introduction Although concussion continues to be a major source of acute and chronic injuries, concussion injury mechanisms and risk functions are ill-defined.... INTRODUCTIONAlthough concussion continues to be a major source of acute and chronic injuries, concussion injury mechanisms and risk functions are ill-defined.... |
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SubjectTerms | Athletes - psychology Athletes - statistics & numerical data Boxing - injuries Concussion Football - injuries Head - physiopathology Head Injuries, Closed - classification Head Injuries, Closed - etiology Humans Laboratories Mouth Protectors Sports - psychology Sports - statistics & numerical data Supplement Weights and Measures - instrumentation Weights and Measures - standards |
Title | Measuring Blunt Force Head Impacts in Athletes |
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