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Review

Neurotrauma Prevention Review: Improving Helmet Design and Implementation

1
Department of Neurosurgery, University of Florida, Gainesville, FL 32601, USA
2
College of Medicine-Phoenix, University of Arizona, Child Health, Phoenix, AZ 85721, USA
3
BARROW Neurological Institute at Phoenix Children’s Hospital, Phoenix Children’s Hospital, Phoenix, AZ 85016, USA
4
College of Graduate Studies, Midwestern University, Downers Grove, IL 60515, USA
5
Phoenix VA Healthcare System, Phoenix, AZ 85012, USA
*
Author to whom correspondence should be addressed.
Biomechanics 2022, 2(4), 500-512; https://doi.org/10.3390/biomechanics2040039
Submission received: 27 July 2022 / Revised: 18 September 2022 / Accepted: 19 September 2022 / Published: 23 September 2022

Abstract

:
Neurotrauma continues to contribute to significant mortality and disability. The need for better protective equipment is apparent. This review focuses on improved helmet design and the necessity for continued research. We start by highlighting current innovations in helmet design for sport and subsequent utilization in the lay community for construction. The current standards by sport and organization are summarized. We then address current standards within the military environment. The pathophysiology is discussed with emphasis on how helmets provide protection. As innovative designs emerge, protection against secondary injury becomes apparent. Much research is needed, but this focused paper is intended to serve as a catalyst for improvement in helmet design and implementation to provide more efficient and reliable neuroprotection across broad arenas.

1. Introduction

Neurotrauma is an important, often preventable cause of morbidity and mortality. Between 180 and 250 traumatic brain injuries (TBIs) occur per 100,000 population per year in the U.S. [1]. Helmets have been employed by humans for thousands of years and have served as a crucial instrument by which we protect ourselves from and minimize the effects of traumatic brain injury [2]. Substantial evidence from systematic reviews and meta-analyses points toward the protective effectiveness (often >60%) of helmets in preventing TBIs in athletes, cyclists and motorcyclists [3,4,5,6]. However, when stratifying TBI by severity, helmets may be less effective or even ineffective in preventing milder forms of TBI such as concussion [2]. Helmet design has been predicated on linear acceleration as a metric corresponding to head injury [7,8]. This has served well in preventing catastrophic injuries. However, rotational acceleration is more likely implicated in the pathophysiology of milder brain injuries, including concussion [7].
Substantial challenges exist in research involving helmets. For example, a diversity of helmet types based on sport and occupation limits statistical power for studies, along with nonuniform definitions of concussion [2]. Furthermore, prospective studies involving helmets are unethical, and animal models of helmets might not be comparable to those involving humans [2]. Material scientist, engineer, neuroscientist, neurologist, and neurosurgeon inputs will be essential to design better helmets.
The following literature review aims to discuss helmet design in various contexts, along with suggested steps to promote better protection against neurotrauma. A Pubmed search was employed with key terms including “neurotrauma”, “TBI”, “concussion”, “helmet”, and stratified by helmet context, including construction, military, and sport.

2. Current Sports Helmet Design

The mandated use of helmets in organized sports dates back as early as the 1940’s when the National Collegiate Athletic Association (NCAA) and National Football League (NFL) made helmets a requirement for players to reduce head-related injuries [9]. Since this time, multiple organizations have developed standards for testing and producing sports helmets (Table 1). While the implementation of sports helmets has successfully reduced catastrophic head-related injuries, including traumatic brain injuries (TBI) and orofacial injuries, the risk of concussive injuries remains unmitigated. This discrepancy in selective protection may be explained by how helmets are tested and certified, with the current standard for testing helmets focusing on the use of linear acceleration, which has demonstrated a reduction of TBI and skull fractures, but not concussive injury [10]. Research has demonstrated that the primary mechanism of injury leading to concussions in sports is the result of rotational acceleration, which is not explicitly tested for by certifying organizations [11,12].
Current sports helmets are designed to protect against punches, falls, projectiles, collisions, and abrasion, and can be grossly organized into two main categories—single-impact and multi-impact helmets [13]. However, virtually all current sports helmets have the basic design of an inner comfort liner, an impact energy attenuating liner, a restraint system, and an outer shell [14]. Single-impact helmets are designed to withstand high-impact encounters only once. Examples of these include bicycle, mountaineering, and equestrian helmets. The energy attenuating liner in these helmets is typically constructed of lightweight expanded polystyrene (EPS) foam, which does well in dissipating energy, but permanently deforms after impact [9]. On the other hand, multi-impact helmets are designed to withstand multiple impacts and are used in US football, hockey, motorcross, and rugby. The resilience to multiple impacts is accomplished by construction with either vinyl nitrile (VN) or expanded polypropylene (EPP) foam for the energy attenuating liner. VN and EPP can return to their original form after impact; however, VN performs better with lower energy impacts than EPP, which performs better at higher energy impacts [9,15]. In both helmets, the outer shell functions to distribute the force of impact along the area of the energy attenuating liner. Shells are commonly constructed of polycarbonate (PC) or ABS plastic, but some helmets may have hard shells composed of composites, such as fiberglass or carbon fiber [7,16].
Further variations in helmet design exist according to the dangers encountered in each sport, as well as practicality, ease of use, and aesthetics. Sports (e.g., lacrosse, hockey, and baseball) where the impact from a projectile is of concern may implement a face guard (typically either a wired frame or an extension of the helmet’s shell) to protect against orofacial injuries [17,18]. Cycling and mountaineering helmets are often engineered to be highly aerodynamic and as light as possible to avoid hindering the user’s performance [19]. Helmets used in motorcycle-variant sports are designed with thicker protective layers that aerodynamically encapsulate the entire head to protect against greater risks associated with high speed [20]. A list of sports helmet types, activities, and applicable standards may be found in Table 1 and Table 2.
Table 1. Sports helmet standards (‘x’ indicates standard) [14,21].
Table 1. Sports helmet standards (‘x’ indicates standard) [14,21].
Sport CategoryASTMAS/NZSCSADOTEN (Incl. BSI, DIN NSAI)FIFA, FISI, IHF, IRBNOCSAEISOSnell
American Footballx x
Animal Ridingx
Baseballx x
Cricket x x (BSI)
Cycling Sportsxxx x x
Footballx
Ice Hockey x x xx
Lacrosse x
Motorized Sports x x
Mountaineering x x
Pole Vaultingx
Polo x
Rugby x (IRB)
Skateboard Sportsx x
Snow Sportsx x x
Water Sports x
AS/NZS, Standards Australia/New Zealand Standards; ASTM, ASTM International; BSI, none; CSA, Canadian Standards Association; DIN, Germany Industry Standards; DOT, Department of Transportation; FIFA, Federation International Football Associations; FIS, International Ski Federation; IIHF, International Ice Hockey Federation; IRB, International Rugby Board; ISO, International Standards Organization; NOCSAE, National Operating Committee on Standards for Athletic Equipment; NSAI, National Standards Authority Ireland; Snell, Snell Memorial Foundation.

3. Current Military Helmet Design

The current issue US military helmet for combat use is the advanced combat helmet (ACH), and previously was the personnel armor system for ground troops (PASGT) in the late 1990’ and early 2000s [24]. Prior work has highlighted the blunt impact standard limitation to linear head acceleration [25], with the need to focus on rotational head motion, the likely mechanism contributing to diffuse axonal injury (DAI) [25,26,27,28]. Military specification (mil-spec) requires a blunt impact acceleration limit testing for pass/fail criteria of the ACH, but does not require rotational component testing [27]. Blast-induced TBI (BTBI) is also a mechanism of combat-induced diffuse axonal injury where blast waves cause rotational forces on the brain to induce DAI.
The ACH is equipped with high-strength Kevlar 129 fibers, housed in a 7.8 mm thick composite shell [2,29]. Previous literature has highlighted the efficacy of the ACH head protection in reduced likelihood of blast-induced mild TBI (mTBI), where levels of protection increase with peak blast exposure [27], as well as protection against blast-induced intracranial pressure (ICP) increases and brain strains [30,31]. Although there is increased overall protection against blast exposures, helmet design still has limitations. For example, Zhang et al. [30] demonstrated that blast waves could directly penetrate through the gap between the forehead and the helmet, causing further deformation of padding.
Warfighters who engage in parachute combat rather than ground combat are twice as likely to sustain any form of TBI [32] and are three times more likely to sustain a mild form of a TBI wearing the PASGT combat helmet compared to the ACH [32]. This is likely due to the higher velocity impacts sustained in parachute jumping and a suspension system that is not as advanced as the ACH. The current ACH uses a suspension padding system that offers protection against axonal shearing, but the preclinical models are still limited regarding how effective these padding systems are in humans [26].
Thus, slight modifications to the ACH and/or future helmet design mil-spec testing may reduce the incidence of DAI and the prevalence of military-related TBI for warfighters. Preclinical animal models may provide further adequate preliminary evidence of the need to address diffuse rotational injury associated with warfighters.
Table 3 describes the two military helmets mentioned in this section.

4. Current Construction Helmet Design

In the United States, the construction industry is responsible for the largest portion of industrial injuries and induces an estimated healthcare and economic burden of $11.5 billion in direct medical costs and lost wages, as last investigated in 2002 [35]. The United States Bureau of Labor Statistics reports that falls in the construction industry account for 62.9% of all fatal falls [36]. Industrial workers 65 years of age and older are at the greatest risk for more severe outcomes after TBI, including death. In addition, this age group has a higher incidence of falls, and within the construction industry, these workers have the highest (57%) frequency of fall-related injuries, including TBIs. This increased risk for injury demonstrates the importance of proper personal protective equipment (PPE), such as helmets. PPE is defined as a control measure used in hazardous situations where the hazard cannot be eliminated or controlled to an acceptable level through engineering design or administrative actions [37]. According to Occupational Safety and Health Administration (OSHA) and the United States Army Corps of Engineers (USACE) regulations, all employees and visitors to a construction site must wear a provided hard hat [37]. These industrial safety helmets are required in conditions where objects might fall from above and strike workers on the head, workers may bump their heads against objects, or there is possible contact with electrical hazards. The American National Standards Institute (ANSI) regulates hard hats by setting performance and requirement testing standards. Type I and II helmets reduce force to the top of the head, while type III classified helmets can reduce impact to the top and sides of the head. Industrial safety helmets have a suspension design that is intended to reduce the force of impact and penetrations of small objects. Furthermore, a study was performed to assess their effectiveness against larger objects and found these helmets were capable of reducing the force and linear acceleration for vertical impact [36,37,38]. They also reduced the likelihood of skull fracture and severe injury, further supporting the importance of industrial safety helmets.
Construction-related injuries to the head can result in skull fractures and localized underlying brain injury, closed head injuries, neck injuries, and rotational injuries leading to diffuse axonal injury [39]. A study was performed to assess the impact of hard hats during varied neck movements utilizing surface electromyography sensors on the upper trapezius muscles of volunteer subjects [40]. The researchers demonstrated that muscle activity and fatigue were not increased while wearing an industrial hard hat, suggesting that this protective equipment is not causing further detriment to workers’ neck strain [40]. Vertical impact occurs in 36% of falling object cases, yet most injuries include a rotational injury [39]. Though industrial safety helmets are required PPE in the construction industry, these helmets have suspension designs that primarily protect against vertical impact. This design may be beneficial for many types of possible injury at a construction site, but it does not protect the wearer during a fall or when faced with a rotational injury (Figure 1).
Finite element analysis is a numerical analysis technique utilized to assess the engineering and design of helmets by mathematically modeling physical contributions such as force. This mathematical modeling utilizes a scoring system such as the head injury criteria (HIC) score, incorporating acceleration and time, where a score of 1000 is considered a safe limit [41]. This widely used score has been utilized to improve and test different helmet materials such as Carbon Fiber and Polyethylene [42]. In addition, finite element analysis can be utilized to assess diffuse axonal injury computationally via von Mises stress [38]. A study evaluating simulation-based impact on construction helmets indicated that a 2 kg cylinder vertical impact has a 50% chance of causing mild diffuse axonal injury, which increases in severity as impact speed increases. However, this study was limited by the lack of modeling any elements of rotational acceleration [38]. This testing provides classifications for helmets for one-time impact, yet industrial helmets regularly endure multiple impacts. One study evaluated the damage and vulnerability induced by repeated impacts on the helmets’ shock absorption performance [43]. An endurance limit was determined for the helmet, where cumulative damage from multiple impacts degraded the shock absorption performance when the impacts were greater than the endurance limit. For example, a type I industrial helmet’s endurance limit was found to be a drop height of 1.22 m [43].
The largest challenge with construction-related safety is workers wearing the industrial safety helmet. Industrial safety helmets have been accused of being too heavy and uncomfortable to wear while working; thus, many workers often choose not to wear helmets when possible. One initiative for promoting wearing helmets on construction sites has been artificial intelligence technology for safety helmet recognition [44]. While improvements in industrial helmet design are needed for comfort and protection against rotational injury, the use of these safety helmets is still effective in protecting the wearer from injury. An analysis of work-related injuries demonstrated that safety helmets meeting current OSHA and ANSI requirements more effectively prevented intracranial injury in comparison to no helmet at all [45].
While helmets can effectively dissipate and reduce impact and acceleration-deceleration forces, they do not entirely prevent energy transfer and the risk of concussion. The pathophysiological consequences of single or repeated concussions while wearing a helmet are needed but present challenges when adapting experiments to translational TBI models. Helmets are designed for human heads and impact based on bipedal kinematics, where common TBI animal models introduce varied head and brain shapes and quadrupedal movement that can change the fundamental dynamics of applied forces, where the temporal and spatial profile of physiological alterations, diffuse axonal injury, and secondary injury sequelae can be influenced.
In conclusion, industrial safety helmets are beneficial for preventing head injury, but there is a large gap in work-related injury research. Mechanistic understanding and appropriate injury models, including rotational acceleration, are required to develop more protective helmets for work-related traumatic brain injuries.

5. Secondary Injury Prevention

While there are likely a plethora of factors that influence TBI, linear and rotational acceleration are two of the most significant. Linear acceleration is believed to produce focal trauma at both coup and contrecoup locations within the brain [46]. Examples of focal injuries include epidural hematomas, skull fractures, and cerebral contusions [46,47]. Conversely, rotational acceleration produces more diffuse trauma within the brain through shearing forces [46,48]. For years, reducing linear acceleration has been one of the primary goals of helmet design. However, it was not until 2018 that the National Operating Committee for Standards in Athletic Equipment updated the criteria to include rotational acceleration in the design of new helmets [49]. In a 2020 evaluation of combat helmets released by the US Army Combat Capabilities Development Command, they demonstrated that while, on average, the Army Advanced Combat Helmet (ACH) produced a statistically significant reduction in linear acceleration compared to no helmet. However, it failed to produce a statistically significant average reduction in rotational acceleration and even increased rotational acceleration at higher force impacts [50]. Consequently, helmet designs in sports and combat have historically neglected to consider rotational acceleration and the resultant more mild traumatic brain injuries (mTBI) such as concussion and subconcusion [7,51].
Rotational acceleration produces axonal shearing, obstructing axonal function, and causing an accumulation of amyloid-beta precursor protein that peaks after 24–48 h [52,53,54]. In addition, shearing and mechanical forces produce plasma membrane instability resulting in potassium leakage and neuronal depolarization [55,56]. As a result, the excitatory neurotransmitter glutamate is released and binds NMDA receptors, generating a cycle of potentially neurotoxic hyperexcitation [54,57,58,59]. This drastically elevates intercellular calcium and sodium concentrations and destabilizes mitochondrial function as a vital calcium buffer system within the cell [60,61,62]. As a result, calcium-dependent proteases and lipases are activated and reactive oxygen species production increases, causing oxidative stress within the cell [63,64]. Elevated oxidative stress within the cell is believed to promote perturbation within the endoplasmic reticulum (ER) and a subsequent accumulation of unfolded proteins. The unfolded protein response (UPR) initially functions to resolve ER stress through inhibition of protein synthesis and proteolysis of misfolded or unfolded proteins [65,66]. With a failure of ER stress resolution over time, the ER UPR pathway ultimately upregulates caspases and pro-apoptotic pathways, promoting cell death [65,67,68,69]. These functions can be exacerbated with repeated injury, and may be targeted for helmet innovation.

6. Innovations in Helmet Design

While the outward appearance of many helmets may not change with safety innovations, the internal design continues to dramatically transform with each new development. The NFL launched its Helmet Challenge in November 2019, with the top-performing prototypes being announced in 2021 [70]. The NFL awarded grants to Kollide, Xenith, and Impressio based on prototype NFL lab performance testing that surpassed the current NFL top-performing helmet [70]. Kollide used a 3D printed helmet containing a 95 pad mesh liner [71]. The 3D printed design allowed for unique customization of the shape of each player’s head [72,73]. Xenith combined a 3D printed polymer lattice with fitted foam inserts [70]. Impressio’s helmet prototype contains liquid crystal elastomers housed within 3D printed columns [71,74]. Liquid crystal elastomers combine the self-organization of the liquid crystalline phase with the elasticity of an elastomer, offering an innovative and potentially superior approach to absorbing impact energy [75,76,77]. All three companies incorporated 3D printing into their design with an increased focus on the customization of helmet fit for each individual. Experimental evaluation is ongoing.
The overall benefit of impact sensors (accelerometer and gyroscope) in helmets has been widely debated, as numerous studies have highlighted the significant error in data measurement and consequently limited clinical utility [78,79]. The 2017 Berlin Concussion in Sport Group concluded that head impact sensors did not offer any beneficial information in diagnosing a concussion [80]. More recent research into developing more accurate impact sensors in helmet and mouthpieces have offered some insight into the duration, direction, magnitude of head motion, and impact [81]. One study examining the use of fiber optics sensors coupled with a machine learning model could accurately predict (R2∼0.90) blunt-force trauma magnitude and direction from novel impacts not yet experienced by the system [82]. When examining angular acceleration and velocity, using a sensor patch placed against the neck has shown some promise in the prediction of head rotational kinematics (R2 > 0.9) [83]. Such a device could be used in conjunction with a helmet sensor to reduce measurement error. Unfortunately, many helmets and patch impact sensors tend to overpredict linear and rotational acceleration with false positive high acceleration impacts [84]. Without visual confirmation of the motion to support the recorded data, this high false positive rate limits the benefit of current impact sensors in practice. As technology advances in the field of impact sensors and analysis of kinetic data, helmet, patch, and mouthpiece sensors may offer valuable information to future clinicians.
For military paratroopers and civilian parachute enthusiasts, parachute opening shock has been associated with the incidence of neck and back injuries [85]. Wing loading, referring to the ratio of weight carried by the individual to the area of the parachute canopy, is believed to affect head acceleration responsible for these injuries [85]. NASA has worked to reduce water landing neck injuries by developing an Orion helmet support assembly (HSA) to mitigate dynamic loading on the neck [86,87]. Their preliminary design was composed of a rigid HSA secured to the helmet with a metal bar braced behind the shoulders [86]. The metal bar was fixed in place by shoulder straps [86]. With dynamic impact testing, this rigid HSA design demonstrated overall increased upper neck loading with an elevated neck injury metric [86]. This data led to the development of a flexible HSA consisting of steel wires attached to both the front and back of the helmet [86]. These interconnected steel wires were bent to fit the chest and back of the wearer, with a shoulder harness attached to the helmet [86]. Overall, NASA’s flexible HSA design demonstrated reduced neck loading and neck injury metrics with testing across various body types [86]. This data suggests that a helmet neck support system may reduce neck injuries in astronauts and potentially paratroopers, while an overly rigid HSA could induce further injury. While protection typically comes with a trade-off of lost mobility, this study indicates that limited mobility may provide some benefit in the reduction of injury.

7. Conclusions, Future Directions

Considering the effectiveness of helmets in preventing catastrophic TBIs, efforts can be made to promote greater helmet usage and awareness. For example, in India, which has a large number of TBIs related to road accidents, public efforts to promote helmet usage and improved prehospital EMS care resulted in plateauing in road traffic deaths [88]. A systematic review of helmet laws found helmet laws to increase compliance and decrease road traffic-related head injuries and fatalities [89]. This is an important consideration in low-income nations, where many people, including pediatric populations, rely on motorcycles, scooters, and bicycles [89]. Certain sports, such as equestrian-related sports, feature low helmet usage and high rates of TBI, so increasing awareness and promotion of helmet use and mandatory helmet laws could also prevent TBIs by up to 50% [90,91]. Other efforts include educating people about replacing helmets within 5–10 years of use, especially when there are signs of cracking and shell/liner damage [92].
Nonetheless, as described in this review, current helmets may not be effective in preventing concussions or mild TBIs [2,7]. This has promoted the development of various new helmets incorporating rotational acceleration testing and rotational damping technology that may decrease concussion incidence or magnitude [93,94,95,96]. For example, Hoshizaki et al. [93] employed drops onto a 45° anvil to simulate the rotational dynamics of head impacts, showing that two helmets (WAVECEL and MIPS) fitted with rotational damping technologies better mitigated rotational acceleration compared to a standard helmet. DiGiacomo et al. [94] similarly used drops onto a 45° anvil to show that rotational damping-based snow helmets significantly reduce rotational acceleration and concussion probability compared to standard helmets. The WAVECEL bicycle helmet uses a compressible cellular structure to provide rotational suspension and has demonstrated significant mitigation of rotational acceleration in 45° anvil drops [95]. It is an extension of prior research by Hansen et al. on an Angular Impact Mitigation (AIM) system consisting of an aluminum honeycomb liner elastically suspended between an inner liner and outer shell, which was shown to reduce linear and angular acceleration, neck loading, and concussion and DAI risk [96]. Similarly, the Multi-Directional Impact Protection System (MIPS) is a slip liner (compared to the standard expanded polystyrene foam bicycle helmet liner) that covers the inside of a helmet to allow for head-helmet sliding during collisions, and also demonstrates significant rotational acceleration mitigation [95]. Another helmet technology involves airbag expansion based on impact sensors, and also demonstrates promising brain injury mitigation results [97,98]. MIPS, WAVECEL, and airbag (Hövding) helmets also reduce brain strain in important regions, according to computational analysis [95,99]. However, these rotational damping technologies do not appear to effectively prevent brain injuries with industrial helmets [100]. More testing of the different rotational damping helmets is necessary to see which provides the most effective protection against concussions in different settings and at different impact locations. Further examination of impact location can inform optimization of padding placement to minimize rotational angular acceleration in more vulnerable locations [99,101]. For example, Fanton et al. [101] found mandibular impacts to be the most significant. Other important metrics to continue to evaluate in helmet testing include the effect of helmet liners in simulating head sliding during impacts, along with cadaveric testing of scalp friction to design better headforms for future studies [49]. Models for assessing helmet design often utilize crash dummies with a rigid spine and do not allow for realistic evaluations of vertical impact on neck injury. Improvements in performance testing have resulted from the use of flexible neck dummies that can better emulate neck compression and rotational impact [39]. These measures should be considered in the development of new safety helmets [39].
Work done at Virginia Tech has focused on rating helmets to help consumers select the safest helmets, which will likely lead manufacturers to continue improving helmet design, better preventing TBIs and concussions [102,103,104]. The STAR evaluation system incorporates a variety of rotational and linear head acceleration testing into helmet ratings, and weighs results by frequency of particular impacts in the given activity, including football, hockey, and cycling [102,103,104]. Extending STAR based systems to evaluate helmets in other sports and activities, including construction and military, will likely result in further development of safer helmets.
Now that rotational acceleration is becoming a vital consideration of helmet testing, further testing and models to correlate head kinematics (particularly rotational acceleration) with brain strain will be important [105,106,107]. For example, Ghazi et al. [108] developed a convolutional neural network that approximates brain strain and demonstrated significant variations in brain strains between 23 football helmet models, suggesting continued room for improvement in helmet design. Future helmets might use such data to initiate warnings in helmets when concussion is probable [7]. Other efforts to reduce concussions and improve helmets include standardizing definitions of concussion by using protocols involving eye-tracking assessments and/or serum biomarkers (such as total tau, STAT3 pathway proteins, and glial fibrillary acid protein) to better analyze and differentiate data in future helmet studies [2,109,110]. Perhaps helmet selection will evolve to increased selection based on multiple contexts and sports-related risks due to technological innovations and assessment of impact kinematics. Nonetheless, more helmet research considering rotational acceleration will likely advance the field.

Author Contributions

Conceptualization, B.L.-W.; writing—original draft preparation, M.G., J.G., Z.S., T.C., M.W., J.W. and T.C.T.; writing—review and editing, M.G. and B.L.-W.; supervision, M.G. and B.L.-W. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Industrial safety helmets have a suspension design that prevents injury from vertical impact. These helmets are not designed to prevent injury from side or rotational impacts that would increase injury severity and diffuse axonal injury.
Figure 1. Industrial safety helmets have a suspension design that prevents injury from vertical impact. These helmets are not designed to prevent injury from side or rotational impacts that would increase injury severity and diffuse axonal injury.
Biomechanics 02 00039 g001
Table 2. Sport helmets categorized by activity [14,21].
Table 2. Sport helmets categorized by activity [14,21].
Helmet TypeActivityApplicable Standards
American FootballAmerican FootballNOCSAE ND002, ND006; ASTM F717
Baseball Batter’sBaseball
Softball
T-Ball
NOCSAE ND022
Baseball Catcher’sNOCSAE ND024
BicycleBicycling
Kick Scooter Riding
Roller Skating—Recreational
ASTM F1447, F18981; Snell B-90A, B-95, N-94; CPSC
BMXBMX CyclingASTM F2032; CPSC
Bull RidingBull RidingASTM 2530
Canoeing/White WaterCanoeing/KayakingEN 1385
CricketCricketBSI BS7928 [22]
DownhillDownhill Mountain Bike RacingASTM F1952; CPSC
EquestrianHorseback RidingASTM F1163; Snell E-2001
FootballFootballASTM F2439-06 [23]
HockeyIce HockeyNOCSAE ND030; ASTM F1045
LacrosseLacrosseNOCSAE ND041
MotorcycleMotorcyclingSnell M-2005, M-2010, CMS/CMR 20073; DOT FMVSS 218
MotorcyclePower BoatingSnell M-2005, M-2010, CMS/CMR 2007; DOT FMVSS 218
Motorcycle or KartingKarting/Go-KartingSnell K-98, M-2005, M-2010, CMS/CMR 2007; DOT FMVSS 218
Motorcycle or MopedMoped Riding
Motorized Bicycling
Powered Scooter Riding
Snell L-98, M-2005, M-2010, CMS/CMR 20073; DOT FMVSS 218
Motorcycle or MotocrossATV Riding
Dirt- and Mini-Bike Riding
Motocrossing
ROV/Side by Side/UTV Riding
Snell M-2005, M-2010, CMS/CMR 2007; DOT FMVSS 218
MountaineeringRock- and Wall-Climbing
Spelunking
EN 12492; Snell N-94
Pole VaultingPole VaultingASTM F2400
PoloPoloNOCSAE ND050
SkateboardLongboarding
Roller Skating—Trick
Skateboarding
ASTM F1492; Snell N-94
SkiSkiing
Snowboarding
Snow Tubing
ASTM F2040; CSA Z263.1; Snell RS-98, S-98
SnowmobileSnowmobilingSnell M-2005, M-2010, CMS/CMR 2007; DOT FMVSS 218
Table 3. Military Helmets.
Table 3. Military Helmets.
Standard Issue HelmetMaterialEfficacy
Advanced Combat Helmet (ACH)ballistic fabrics (Kevlar®) k129, composite shell, suspension systemEvidence of reduced ICP brain stain/limited research on diffuse TBI efficacy [27]
Personnel Armor System for Ground Troops (PASGT)ballistic fabrics (Kevlar®) K29, suspension systemPenetration protection against 0.22 caliber and lower tolerance to blast compared to k129 fibers [33,34]
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Goutnik, M.; Goeckeritz, J.; Sabetta, Z.; Curry, T.; Willman, M.; Willman, J.; Currier Thomas, T.; Lucke-Wold, B. Neurotrauma Prevention Review: Improving Helmet Design and Implementation. Biomechanics 2022, 2, 500-512. https://doi.org/10.3390/biomechanics2040039

AMA Style

Goutnik M, Goeckeritz J, Sabetta Z, Curry T, Willman M, Willman J, Currier Thomas T, Lucke-Wold B. Neurotrauma Prevention Review: Improving Helmet Design and Implementation. Biomechanics. 2022; 2(4):500-512. https://doi.org/10.3390/biomechanics2040039

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Goutnik, Michael, Joel Goeckeritz, Zackary Sabetta, Tala Curry, Matthew Willman, Jonathan Willman, Theresa Currier Thomas, and Brandon Lucke-Wold. 2022. "Neurotrauma Prevention Review: Improving Helmet Design and Implementation" Biomechanics 2, no. 4: 500-512. https://doi.org/10.3390/biomechanics2040039

APA Style

Goutnik, M., Goeckeritz, J., Sabetta, Z., Curry, T., Willman, M., Willman, J., Currier Thomas, T., & Lucke-Wold, B. (2022). Neurotrauma Prevention Review: Improving Helmet Design and Implementation. Biomechanics, 2(4), 500-512. https://doi.org/10.3390/biomechanics2040039

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