Assessment of brain response in operators subject to recoil force from firing long-range rifles

Front Bioeng Biotechnol. 2024 Feb 14:12:1352387. doi: 10.3389/fbioe.2024.1352387. eCollection 2024.

Abstract

Mild traumatic brain injury (mTBI) may be caused by occupational hazards military personnel encounter, such as falls, shocks, exposure to blast overpressure events, and recoil from weapon firing. While it is important to protect against injurious head impacts, the repeated exposure of Canadian Armed Forces (CAF) service members to sub-concussive events during the course of their service may lead to a significant reduction in quality of life. Symptoms may include headaches, difficulty concentrating, and noise sensitivity, impacting how personnel complete their duties and causing chronic health issues. This study investigates how the exposure to the recoil force of long-range rifles results in head motion and brain deformation. Direct measurements of head kinematics of a controlled population of military personnel during firing events were obtained using instrumented mouthguards. The experimentally measured head kinematics were then used as inputs to a finite element (FE) head model to quantify the brain strains observed during each firing event. The efficacy of a concept recoil mitigation system (RMS), designed to mitigate loads applied to the operators was quantified, and the RMS resulted in lower loading to the operators. The outcomes of this study provide valuable insights into the magnitudes of head kinematics observed when firing long-range rifles, and a methodology to quantify effects, which in turn will help craft exposure guidelines, guide training to mitigate the risk of injury, and improve the quality of lives of current and future CAF service members and veterans.

Keywords: 0.50 caliber rifles; brain strain; finite element head model; instrumented mouthguards; mild traumatic brain injury; recoil force; repeated exposure; sub-concussive injury.

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The authors gratefully acknowledge funding from Defence Research and Development Canada, Valcartier Research Centre, the Natural Sciences and Engineering Research Council of Canada, Kapsul and Voxel.AI. We thank the Global Human Body Model Consortium for the use of the HBM, and the Digital Research Alliance of Canada for computational resources. This research was undertaken, in part, thanks to funding from the Canada Research Chairs Program.