Skip to main content
Log in

Development and Evaluation of a Test Method for Assessing the Performance of American Football Helmets

  • Concussion Biomechanics in Football
  • Published:
Annals of Biomedical Engineering Aims and scope Submit manuscript

Abstract

As more is learned about injury mechanisms of concussion and scenarios under which injuries are sustained in football games, methods used to evaluate protective equipment must adapt. A combination of video review, videogrammetry, and laboratory reconstructions was used to characterize concussive impacts from National Football League games during the 2015-2017 seasons. Test conditions were generated based upon impact locations and speeds from this data set, and a method for scoring overall helmet performance was created. Head kinematics generated using a linear impactor and sliding table fixture were comparable to those from laboratory reconstructions of concussive impacts at similar impact conditions. Impact tests were performed on 36 football helmet models at two laboratories to evaluate the reproducibility of results from the resulting test protocol. Head acceleration response metric, a head impact severity metric, varied 2.9–5.6% for helmet impacts in the same lab, and 3.8–6.0% for tests performed in a separate lab when averaged by location for the models tested. Overall inter-lab helmet performance varied by 1.1 ± 0.9%, while the standard deviation in helmet performance score was 7.0%. The worst helmet performance score was 33% greater than the score of the best-performing helmet evaluated by this study.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8

Similar content being viewed by others

References

  1. Alem, N. M. Helmet impact test system development. Highway Safety Research Institute. Final Report UM-HSRI-80-72-1, 1980.

  2. Bailey, A., J. Funk, D. Lessley, C. Sherwood, J. Crandall, W. Neale, and N. Rose. Validation of a videogrammetry technique for analysing American football helmet kinematics. Sports Biomech. 19(5):678–700, 2018.

    Article  Google Scholar 

  3. Bailey, A. M., C. Sherwood, J. R. Funk, J. R. Crandall, N. Carter, D. Hessel, S. Beier, and W. Neale. Characterization of concussive events in professional American football using videogrammetry. Ann. Biomed. Eng. 2020. https://doi.org/10.1007/s10439-020-02637-3.

    Article  PubMed  Google Scholar 

  4. Bartsch, A., E. Benzel, V. Miele, D. Morr, and V. Prakash. Hybrid III anthropomorphic test device (ATD) response to head impacts and potential implications for athletic headgear testing. Accid. Anal. Prev. 48:285–291, 2012.

    Article  Google Scholar 

  5. Biomechanics Consulting and Research, LLC. Helmet test protocol. 2019. at www.biocorellc.com/resources

  6. Breedlove, K. M., E. L. Breedlove, T. G. Bowman, E. M. Arruda, and E. A. Nauman. The effect of football helmet facemasks on impact behavior during linear drop tests. J. Biomech. 79:227–231, 2018.

    Article  Google Scholar 

  7. Campolettano, E. T., D. W. Sproule, M. T. Begonia, and S. Rowson. Youth football helmet STAR methodology. 2019.

  8. Cobb, B. R., A. MacAlister, T. J. Young, A. R. Kemper, S. Rowson, and S. M. Duma. Quantitative comparison of Hybrid III and National Operating Committee on Standards for Athletic Equipment headform shape characteristics and implications on football helmet fit. Proc. Inst. Mech. Eng. Part P J. Sports Eng. Technol. 229:39–46, 2015.

  9. Cobb, B., Tyson, A. M., Rowson, S. Head acceleration measurement techniques: reliability of angular rate sensor data in helmeted impact testing. Proc IMechE Part P: J Sports Eng. and Tech. 232(2): 176-181.

  10. DiMasi, F. P. Transformation of nine-accelerometer-package (NAP) data for replicating headpart kinematics and dynamic loading. United States. National Highway Traffic Safety Administration, 1995. DiMasi, F. P. Transformation of nine-accelerometer-package (NAP) data for replicating headpart kinematics and dynamic loading. United States. National Highway Traffic Safety Administration, 1995.

  11. Elkin, B. S., L. F. Gabler, M. B. Panzer, and G. P. Siegmund. Brain tissue strains vary with head impact location: a possible explanation for increased concussion risk in struck versus striking football players. Clin. Biomech. 64:49–57, 2019.

    Article  Google Scholar 

  12. Ellenbogen, R. G., H. Batjer, J. Cardenas, M. Berger, J. Bailes, E. Pieroth, and R. Heyer. National football league head, neck and spine committee’s concussion diagnosis and management protocol: 2017-18 season. Br. J. Sports Med. 52:894–902, 2018.

    Article  Google Scholar 

  13. Funk, J. R., R. Jadischke, A. Bailey, J. R. Crandall, J. McCarthy, K. B. Arbogast, and B. S. Myers. Laboratory reconstructions of concussive helmet-to-helmet impacts in the National Football League. Ann. Biomed. Eng., in review.

  14. Gabler, L. F., A. M. Bailey, J. R. Funk, J. R. Crandall, K. B. Arbogast, and B. S. Myers. Development of a metric for ranking the performance off football helmets. Proceedings of the 2019 Biomedical Engineering Society Conference, Philadelphia, PA, 2019.

  15. Gabler, L. F., J. R. Crandall, and M. B. Panzer. Development of a metric for predicting brain strain responses using head kinematics. Ann. Biomed. Eng. 46:972–985, 2018.

    Article  Google Scholar 

  16. Kent, R., J. L. Forman, A. B. Good, C. Sherwood, and J. R. Crandall. The biomechanics of concussive helmet-to-ground impacts in the National Football League. J. Biomech. 99, 2020.

  17. Lessley, D., R. Kent, C. Sherwood, J. Cormier, J. Crandall, K. B. Arbogast, and B. S. Myers. Video analysis of reported concussion events in the National Football League During the 2015-2016 and 2016-2017 Seasons. Am. J. Sports Med. 46(14):3502–3510, 2018.

    Article  Google Scholar 

  18. Mertz, H. J. Biofidelity of the Hybrid III head. SAE Transactions. SAE 851245:97–105, 1985.

    Google Scholar 

  19. National Football League, and National Football League Players Association. NFL NFLPA 2020 helmet laboratory testing performance results, 2020. at https://www.playsmartplaysafe.com/resource/helmet-laboratory-testing-performance-results/

  20. National Operating Committee on Standards for Athletic Equipment. Standard linear impactor test method and equipment used in evaluating the performance characteristics of protective headgear and face guards (ND 081-18am19a), 2019

  21. Pellman, E. J., D. C. Viano, A. M. Tucker, I. R. Casson, and J. F. Waeckerle. Concussion in professional football: reconstruction of game impacts and injuries. Neurosurgery 53:799–814, 2003.

    Article  Google Scholar 

  22. Pellman, E. J., D. C. Viano, C. Withnall, N. Shewchenko, C. A. Bir, and P. D. Halstead. Concussion in professional football: helmet testing to assess impact performance—part 11. Neurosurgery 58:78–95, 2006.

    Article  Google Scholar 

  23. Post, A., A. Oeur, B. Hoshizaki, and M. D. Gilchrist. An examination of American football helmets using brain deformation metrics associated with concussion. Mater. Des. 45:653–662, 2013.

    Article  Google Scholar 

  24. Rowson, B., E. J. Terrell, and S. Rowson. Quantifying the effect of the facemask on helmet performance, Proc. Inst. Mech. Eng. Part P J. Sports Eng. Technol. 232:94–101, 2018.

  25. 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. 39:2130–2140, 2011.

    Article  Google Scholar 

  26. Rowson, S., and S. M. Duma. Brain injury prediction: assessing the combined probability of concussion using linear and rotational head acceleration. Ann. Biomed. Eng. 41:873–882, 2013.

    Article  Google Scholar 

  27. Rowson, S., S. M. Duma, J. G. Beckwith, J. J. Chu, R. M. Greenwald, J. J. Crisco, P. G. Brolinson, A.-C. Duhaime, T. W. McAllister, and A. C. Maerlender. Rotational head kinematics in football impacts: an injury risk function for concussion. Ann. Biomed. Eng. 40:1–13, 2012.

    Article  Google Scholar 

  28. Sanchez, E. J., L. F. Gabler, A. B. Good, J. R. Funk, J. R. Crandall, and M. B. Panzer. A reanalysis of football impact reconstructions for head kinematics and finite element modeling. Clin. Biomech. 64:82–89, 2018.

    Article  Google Scholar 

  29. Society of Automotive Engineers. J211-1 instrumentation for impact test—Part 1—electronic instrumentation. SAE Int. 211/1201403, 2014.

  30. Takhounts, E., R. Eppinger, R. Tannous, J. Q. Campbell, E. Power, L. Shook, and V. Hasija. Analysis of 3D rigid body motion using the nine accelerometer array system. Injury Biomechanics research Proc. of the Thirty-First Int. Workshop, 2003.

  31. Takhounts, E. G., M. J. Craig, K. Moorhouse, J. McFadden, and V. Hasija. Development of brain injury criteria (Br IC). Stapp Car Crash J. 57:243, 2013.

    PubMed  Google Scholar 

  32. Tyson, A. M., and S. Rowson. Varsity football helmet STAR protocol, 2018.

  33. Versace, J. A review of the severity index. Proc. 15th Stapp Car Crash Conference, 771–796, 1971.

  34. Viano, D. C., and D. Halstead. Change in size and impact performance of football helmets from the 1970s to 2010. Ann. Biomed. Eng. 40:175–184, 2012.

    Article  Google Scholar 

  35. Viano, D. C., C. Withnall, and D. Halstead. Impact performance of modern football helmets. Ann. Biomed. Eng. 40:160–174, 2012.

    Article  Google Scholar 

Download references

Acknowledgments

The research presented in this paper was made possible by a grant from Football Research, Inc. (FRI). FRI is a nonprofit corporation that receives funding from sources including the NFL and is dedicated to the research and development of novel methods to prevent, mitigate, and treat traumatic head injury. The views expressed are solely those of the authors and do not represent those of FRI or any of its affiliates or funding sources. The authors would also like to acknowledge Biokinetics and Associates Ltd., Next Generation Stats, and Kineticorp.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ann M. Bailey.

Additional information

Associate Editor Stefan M Duma oversaw the review of this article.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Electronic supplementary material 1 (PDF 605 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bailey, A.M., Sanchez, E.J., Park, G. et al. Development and Evaluation of a Test Method for Assessing the Performance of American Football Helmets. Ann Biomed Eng 48, 2566–2579 (2020). https://doi.org/10.1007/s10439-020-02626-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10439-020-02626-6

Keywords

Navigation