Nano-Composite Foam Sensor System in Football Helmets

  • A. Jake Merrell
  • William F. Christensen
  • Matthew K. Seeley
  • Anton E. Bowden
  • David T. Fullwood
Article

Abstract

American football has both the highest rate of concussion incidences as well as the highest number of concussions of all contact sports due to both the number of athletes and nature of the sport. Recent research has linked concussions with long term health complications such as chronic traumatic encephalopathy and early onset Alzheimer’s. Understanding the mechanical characteristics of concussive impacts is critical to help protect athletes from these debilitating diseases and is now possible using helmet-based sensor systems. To date, real time on-field measurement of head impacts has been almost exclusively measured by devices that rely on accelerometers or gyroscopes attached to the player’s helmet, or embedded in a mouth guard. These systems monitor motion of the head or helmet, but do not directly measure impact energy. This paper evaluates the accuracy of a novel, multifunctional foam-based sensor that replaces a portion of the helmet foam to measure impact. All modified helmets were tested using a National Operating Committee Standards for Athletic Equipment-style drop tower with a total of 24 drop tests (4 locations with 6 impact energies). The impacts were evaluated using a headform, instrumented with a tri-axial accelerometer, mounted to a Hybrid III neck assembly. The resultant accelerations were evaluated for both the peak acceleration and the severity indices. These data were then compared to the voltage response from multiple Nano Composite Foam sensors located throughout the helmet. The foam sensor system proved to be accurate in measuring both the HIC and Gadd severity index, as well as peak acceleration while also providing additional details that were previously difficult to obtain, such as impact energy.

Keywords

Football helmet Impact detection Piezoelectric foam Self-sensing foam Impact energy Impact velocity Acceleration Severity index 

References

  1. 1.
    Allison, M. A., et al. Validation of a helmet-based system to measure head impact biomechanics in ice hockey. Med. Sci. Sports Exerc. 46(1):115–123, 2014.CrossRefPubMedGoogle Scholar
  2. 2.
    Buzzini, S. R. R., and K. M. Guskiewicz. Sport-related concussion in the young athlete. Curr. Opin. Pediatr. 18(4):376–382, 2006.CrossRefPubMedGoogle Scholar
  3. 3.
    Camarillo, D. B., et al. An instrumented mouthguard for measuring linear and angular head impact kinematics in American football. Ann. Biomed. Eng. 41(9):1939–1949, 2013.CrossRefPubMedPubMedCentralGoogle Scholar
  4. 4.
    Campbell, K. R., et al. Laboratory evaluation of the gForce Tracker™, a head impact kinematic measuring device for use in football helmets. Ann. Biomed. Eng. 44(4):1246–1256, 2016.CrossRefPubMedGoogle Scholar
  5. 5.
    Conidi, F. X. Helmets, sensors, and more: a review. Pract. Neurol. 15(2):32–36, 2015.Google Scholar
  6. 6.
    Crisco, J. J., et al. Frequency and location of head impact exposures in individual collegiate football players. J. Athl. Train. 45(6):549–559, 2010.CrossRefPubMedPubMedCentralGoogle Scholar
  7. 7.
    Crisco, J. J., et al. Head impact exposure in collegiate football players. J. Biomech. 44(15):2673–2678, 2011.CrossRefPubMedPubMedCentralGoogle Scholar
  8. 8.
    Daniel, R. W., S. Rowson, and S. M. Duma. Head impact exposure in youth football. Ann. Biomed. Eng. 40:976–981, 2012.CrossRefPubMedPubMedCentralGoogle Scholar
  9. 9.
    Duma, S. M., et al. Analysis of real-time head accelerations in collegiate football players. Clin. J. Sport Med. 15:3–8, 2005.CrossRefPubMedGoogle Scholar
  10. 10.
    Duma, S. M., et al. Analysis of real-time head accelerations in collegiate football players. Clin. J. Sport Med. 15(1):3–8, 2005.CrossRefPubMedGoogle Scholar
  11. 11.
    Fainaru-Wada, M., and S. Fainaru. League of Denial: The NFL, Concussions, and the Battle for Truth. New York: Three Rivers Press, 2013.Google Scholar
  12. 12.
    Foster, J. K., J. O. Kortge, and M. J. Wolanin. Hybrid III-A Biomechanically-Based Crash Test Dummy. SAE International, 1977.Google Scholar
  13. 13.
    Funk, J. R., et al. Biomechanical Risk Estimates for Mild Traumatic Brain Injury. Annual proceedings/Association for the Advancement of Automotive Medicine. Association for the Advancement of Automotive Medicine, vol. 51, pp. 343–361, 2007.Google Scholar
  14. 14.
    Funk, J. R., et al. Validation of concussion risk curves for collegiate football players derived from HITS data. Ann. Biomed. Eng. 40(1):79–89, 2012.CrossRefPubMedGoogle Scholar
  15. 15.
    Gadd, C. W. Use of a Weighted-Impulse Criterion for Estimating Injury Hazard. SAE Technical Paper, 1966.Google Scholar
  16. 16.
    Gurdjian, E. S., V. Roberts, and L. M. Thomas. Tolerance curves of acceleration and intracranial pressure and protective index in experimental head injury. J. Trauma Acute Care Surg. 6(5):600–604, 1966.CrossRefGoogle Scholar
  17. 17.
    Gurdjian, E., et al. Quantitative determination of acceleration and intracranial pressure in experimental head injury preliminary report. Neurology 3(6):417, 1953.CrossRefPubMedGoogle Scholar
  18. 18.
    Gurdjian, E. S., et al. Evaluation of the protective characteristics of helmets in sports. J. Trauma Acute Care Surg. 4(3):309–324, 1964.CrossRefGoogle Scholar
  19. 19.
    Guskiewicz, K. M., and J. P. Mihalik. Biomechanics of sport concussion: quest for the elusive injury threshold. Exerc. Sport Sci. Rev. 39(1):4–11, 2011.CrossRefPubMedGoogle Scholar
  20. 20.
    Guskiewicz, K. M., et al. Cumulative effects associated with recurrent concussion in collegiate football players—the NCAA concussion study. JAMA 290(19):2549–2555, 2003.CrossRefPubMedGoogle Scholar
  21. 21.
    Guskiewicz, K. M., et al. Association between recurrent concussion and late-life cognitive impairment in retired professional football players. Neurosurgery 57(4):719–724, 2005.CrossRefPubMedGoogle Scholar
  22. 22.
    Guskiewicz, K. M., et al. Recurrent concussion and risk of depression in retired professional football players. Med. Sci. Sports Exerc. 39(6):903–909, 2007.CrossRefPubMedGoogle Scholar
  23. 23.
    Hanlon, E. M., and C. A. Bir. Real-time head acceleration measurement in girls’ youth soccer. Med. Sci. Sports Exercise 44(6):1102–1108, 2012.CrossRefGoogle Scholar
  24. 24.
    Hernandez, F., et al. Six degree-of-freedom measurements of human mild traumatic brain injury. Ann. Biomed. Eng. 43(8):1918–1934, 2015.CrossRefPubMedGoogle Scholar
  25. 25.
    Higgins, M., et al. Measurement of impact acceleration: mouthpiece accelerometer versus helmet accelerometer. J. Athl. Train. 42(1):5–10, 2007.PubMedPubMedCentralGoogle Scholar
  26. 26.
    Hutchinson, J., M. J. Kaiser, and H. M. Lankarani. The head injury criterion (HIC) functional. Appl. Math. Comput. 96(1):1–16, 1998.CrossRefGoogle Scholar
  27. 27.
    Jadischke, R., et al. On the accuracy of the Head Impact Telemetry (HIT) System used in football helmets. J. Biomech. 46(13):2310–2315, 2013.CrossRefPubMedGoogle Scholar
  28. 28.
    Knox, T., et al. New Sensors to Track Head Acceleration during Possible Injurious Events. DTIC Document, 2009.Google Scholar
  29. 29.
    Manoogian, S., et al. Head acceleration is less than 10 percent of helmet acceleration during a football impact. Biomed. Sci. Instrum. 42:383–388, 2006.PubMedGoogle Scholar
  30. 30.
    Marar, M., et al. Epidemiology of concussions among United States high school athletes in 20 sports. Am. J. Sports Med. 40(4):747–755, 2012.CrossRefPubMedGoogle Scholar
  31. 31.
    Miyashita, T., et al. Frequency and Location of Head Impacts in Division I Men’s Lacrosse Players. Athletic Training and Sports Health Care, 2016.Google Scholar
  32. 32.
    NOCSAE. Standard Performance Specification for Newly Manufactured Football Helmets. National Operating Committee on Standards for Athletic Equipment, 2014.Google Scholar
  33. 33.
    NOCSAE. Standard Test Method and Equipment Used in Evaluating the Performance Characteristics of Protective Headgear/Equipment, 2015.Google Scholar
  34. 34.
    Olvey, S. E., T. Knox, and K. A. Cohn. The development of a method to measure head acceleration and motion in high-impact crashes. Neurosurgery 54(3):672–677, 2004.CrossRefPubMedGoogle Scholar
  35. 35.
    Patel, D. R., and D. E. Greydanus. Neurologic considerations for adolescent athletes. Adolesc. Med. Clin. 13(3):569, 2002.Google Scholar
  36. 36.
    Patel, D. R., V. Shivdasani, and R. J. Baker. Management of sport-related concussion in young athletes. Sports Med. 35(8):671–684, 2005.CrossRefPubMedGoogle Scholar
  37. 37.
    Rowson, S., and S. M. Duma. Development of the STAR evaluation system for football helmets: integrating player head impact exposure and risk of concussion. Ann. Biomed. Eng. 39(8):2130–2140, 2011.CrossRefPubMedGoogle Scholar
  38. 38.
    Rowson, S., et al. A six degree of freedom head acceleration measurement device for use in football. J. Appl. Biomech. 27(1):8–14, 2011.CrossRefPubMedGoogle Scholar
  39. 39.
    Rowson, S., et al. Can helmet design reduce the risk of concussion in football? J. Neurosurg. 120(4):919–922, 2014.CrossRefPubMedGoogle Scholar
  40. 40.
    Siegmund, G. P., et al. Laboratory validation of two wearable sensor systems for measuring head impact severity in football players. Ann. Biomed. Eng. 44(4):1257–1274, 2016.CrossRefPubMedGoogle Scholar
  41. 41.
    Tianyi, F.-L., V. N. Agbor, and T. Njim. Motorbike-handlebar hernia-a rare traumatic abdominal wall hernia: a case report and review of the literature. J. Med. Case Rep. 11(1):87, 2017.CrossRefPubMedPubMedCentralGoogle Scholar
  42. 42.
    Versace, J. A Review of the Severity Index. SAE Technical Paper, 1971.Google Scholar
  43. 43.
    Wojtowicz, M., et al. Consistency of self-reported concussion history in adolescent athletes. J. Neurotrauma 34(2):322–327, 2017.CrossRefPubMedGoogle Scholar
  44. 44.
    Wu, L. C., et al. A head impact detection system using SVM classification and proximity sensing in an instrumented mouthguard. IEEE Trans. Biomed. Eng. 61(11):2659–2668, 2014.CrossRefPubMedGoogle Scholar
  45. 45.
    Young, T. J., et al. Head impact exposure in youth football: elementary school ages 7-8 years and the effect of returning players. Clin. J. Sport Med. 24(5):416–421, 2014.CrossRefPubMedGoogle Scholar
  46. 46.
    Zanetti, E. M., et al. Amateur football pitches: mechanical properties of the natural ground and of different artificial turf infills and their biomechanical implications. J. Sports Sci. 31(7):767–778, 2013.CrossRefPubMedGoogle Scholar

Copyright information

© Biomedical Engineering Society 2017

Authors and Affiliations

  • A. Jake Merrell
    • 1
  • William F. Christensen
    • 2
  • Matthew K. Seeley
    • 3
  • Anton E. Bowden
    • 1
  • David T. Fullwood
    • 1
  1. 1.Department of Mechanical EngineeringBrigham Young UniversityProvoUSA
  2. 2.Department of StatisticsBrigham Young UniversityProvoUSA
  3. 3.Department of Exercise ScienceBrigham Young UniversityProvoUSA

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