A Study on the Impact of Helmet Padding Materials on the Brain Pressure Under Shock Loads

2012 ◽  
Author(s):  
Mehdi Salimi Jazi ◽  
Asghar Rezaei ◽  
Ghodrat Karami ◽  
Fardad Azarmi ◽  
Mariusz Ziejewski
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Motor Vehicle ◽  
Human Head ◽  
Motor Vehicle Crashes ◽  
Ballistic Impacts ◽  
Common Causes ◽  
The Impact ◽  
The Brain ◽  
Brain Pressure

A traumatic brain injury (TBI) can occur from a sharp strain, or acceleration, to the human head. Based on the level of injury, TBIs are classified as mild, moderate, or severe, with the most common causes being motor vehicle crashes; violence related injuries; collisions in sports; and falls are the most common causes of TBIs for the general public. Many soldiers experience a TBI in combat zones when they are exposed to the shock waves from blasts, or to ballistic impacts.

Traumatic Brain Injury Caused by +Gz Acceleration

2016 ◽  
Author(s):  
Abbas Shafiee ◽  
Mohammad Taghi Ahmadian ◽  
Maryam Hoviattalab
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Damage Threshold ◽  
Human Head ◽  
Loss Of Consciousness ◽  
Time Duration ◽  
University Of Technology ◽  
Trauma Model ◽  
The Brain ◽  
Brain Pressure

Traumatic brain injury (TBI) has long been known as one of the most anonymous reasons for death around the world. This phenomenon has been under study for many years and yet it remains a question due to physiological, geometrical and computational complexity. Although the modeling facilities for soft tissue have improved, the precise CT-imaging of human head has revealed novel details of the brain, skull and meninges. In this study a 3D human head including the brain, skull, and meninges is modeled using CT-scan and MRI data of a 30-year old human. This model is named “Sharif University of Technology Head Trauma Model (SUTHTM)”. By validating SUTHTM, the model is then used to study the effect of +Gz acceleration on the human brain. Damage threshold based on loss of consciousness in terms of acceleration and time duration is developed using Maximum Brain Pressure criteria. Results revealed that the Max. Brain Pressure ≥3.1 are representation of loss of consciousness. 3D domains for the loss of consciousness are based on Max. Brain Pressure is developed.

Sertraline to improve arousal and alertness in severe traumatic brain injury secondary to motor vehicle crashes

Brain Injury ◽  
2001 ◽  
Vol 15 (4) ◽  
pp. 321-331 ◽  
Author(s):  
Jay M. Meythaler ◽  
Lawrence Depalma ◽  
Michael J. Devivo ◽  
Sharon Guin-Renfroe ◽  
Thomas A. Novack
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Severe Traumatic Brain Injury ◽  
Motor Vehicle ◽  
Motor Vehicle Crashes ◽  
Vehicle Crashes

Traumatic Brain Injury: The Silent Epidemic

1992 ◽  
Vol 3 (1) ◽  
pp. 9-18 ◽  
Author(s):  
Kathy Coburn
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
National Database ◽  
Assessment Practices ◽  
Term Outcome ◽  
Long Term Outcome ◽  
Acute Health Care ◽  
Focal Injury ◽  
The Impact ◽  
The Brain

It is difficult to accurately determine the number of people affected annually by the devastating effects of traumatic brain injury. It is clear, however, that the impact of traumatic brain injury exceeds the financial cost of acute health care. The long-term outcome of patients with traumatic brain injury has been targeted specifically for improvement during this decade. The initial brain injury—known as the primary injury—may occur in one area of the brain (focal injury) or may affect the entire brain (diffuse injury). The outcome depends on many factors, including the severity of the brain injury and the effectiveness of the interventions received. Accurate assessment of the scope of the problem would be improved by the development of a national database and the standardization of assessment practices. Critical care nurses can contribute skill and knowledge in the care of patients with traumatic brain injury and in efforts to prevent the accidents and violence that cause traumatic brain injury

scholarly journals P053: Characteristics and patterns of major traumatic brain injury in Nova Scotia: a 12-year retrospective analysis

CJEM ◽  
2016 ◽  
Vol 18 (S1) ◽  
pp. S96-S96
Author(s):  
R. Green ◽  
N. Kureshi ◽  
L. Fenerty ◽  
G. Thibault-Halman ◽  
M. Erdogan ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Nova Scotia ◽  
Brain Injury ◽  
Motor Vehicle ◽  
Case Series ◽  
Penetrating Trauma ◽  
Motor Vehicle Crashes ◽  
Series Data ◽  
Vehicle Crashes ◽  
Injury Rates

Introduction: Traumatic brain injury (TBI) is a leading cause of death and disability in Nova Scotia. TBI occurs in approximately 50% of major trauma seen annually in the province. The purpose of this study was to describe the characteristics and patterns of major TBI seen in Nova Scotia over a 12-year period. Methods: This was a retrospective case series. Data were obtained from the Nova Scotia Trauma Registry for all patients presenting with major TBI (abbreviated injury score [AIS] head ≥3) between 2002 and 2013. Injury rates were calculated on the basis of 100,000 population (all ages) using population estimates from Statistics Canada. Results: Overall, 4152 major TBI patients were seen in Nova Scotia hospitals during the study period. Mean age of TBI patients was 51±25 years; 73% were male. The majority of injuries were the result of blunt trauma (93%), with relatively few major TBIs resulting from penetrating trauma (7%). The most common mechanisms of injury were falls (44%) and motor vehicle crashes (27%). Analysis of census-based subpopulations of the province showed that injury rates varied significantly among counties (from 25 to 63 per 100,000 population). We observed an increase in the number of major TBI patients over twelve years. Conclusion: Our findings suggest significant regional variation in major TBI rates in Nova Scotia. There are ongoing needs for prevention and intervention efforts that focus on unintentional falls and motor vehicle crashes, especially in older adults. These results also suggest that geographically targeted efforts may be warranted.

scholarly journals A Biomechanical Evaluation of a Novel Airbag Bicycle Helmet Concept for Traumatic Brain Injury Mitigation

2021 ◽  
Vol 8 (11) ◽  
pp. 173
Author(s):  
Kwong Ming Tse ◽  
Daniel Holder
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Injury Risk ◽  
Synergetic Effect ◽  
Human Head ◽  
Head Model ◽  
Bicycle Helmet ◽  
Impact Simulations ◽  
The Impact ◽  
Helmet Design

In this study, a novel expandable bicycle helmet, which integrates an airbag system into the conventional helmet design, was proposed to explore the potential synergetic effect of an expandable airbag and a standard commuter-type EPS helmet. The traumatic brain injury mitigation performance of the proposed expandable helmet was evaluated against that of a typical traditional bicycle helmet. A series of dynamic impact simulations on both a helmeted headform and a representative human head with different configurations were carried out in accordance with the widely recognised international bicycle helmet test standards. The impact simulations were initially performed on a ballast headform for validation and benchmarking purposes, while the subsequent ones on a biofidelic human head model were used for assessing any potential intracranial injury. It was found that the proposed expandable helmet performed admirably better when compared to a conventional helmet design—showing improvements in impact energy attenuation, as well as kinematic and biometric injury risk reduction. More importantly, this expandable helmet concept, integrating the airbag system in the conventional design, offers adequate protection to the cyclist in the unlikely case of airbag deployment failure.

scholarly journals A Predictive Model to Analyze the Factors Affecting the Presence of Traumatic Brain Injury in the Elderly Occupants of Motor Vehicle Crashes Based on Korean In-Depth Accident Study (KIDAS) Database

2021 ◽  
Vol 18 (8) ◽  
pp. 3975
Author(s):  
Hee Young Lee ◽  
Hyun Youk ◽  
Oh Hyun Kim ◽  
Chan Young Kang ◽  
Joon Seok Kong ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Brain Injury ◽  
Predictive Model ◽  
Motor Vehicle ◽  
The Elderly ◽  
Motor Vehicle Crashes ◽  
Vehicle Crashes ◽  
Factors Affecting

Traumatic brain injury (TBI), also known as intracranial injury, occurs when an external force injures the brain. This study aimed to analyze the factors affecting the presence of TBI in the elderly occupants of motor vehicle crashes. We defined elderly occupants as those more than 55 years old. Damage to the vehicle was presented using the Collision Deformation Classification (CDC) code by evaluation of photos of the damaged vehicle, and a trauma score was used for evaluation of the severity of the patient’s injury. A logistic regression model was used to identify factors affecting TBI in elderly occupants and a predictive model was constructed. We performed this study retrospectively and gathered all the data under the Korean In-Depth Accident Study (KIDAS) investigation system. Among 3697 patients who visited the emergency room in the regional emergency medical center due to motor vehicle crashes from 2011 to 2018, we analyzed the data of 822 elderly occupants, which were divided into two groups: the TBI patients (N = 357) and the non-TBI patients (N = 465). According to multiple logistic regression analysis, the probabilities of TBI in the elderly caused by rear-end (OR = 1.833) and multiple collisions (OR = 1.897) were higher than in frontal collision. Furthermore, the probability of TBI in the elderly was 1.677 times higher in those with unfastened seatbelts compared to those with fastened seatbelts (OR = 1.677). This study was meaningful in that it incorporated several indicators that affected the occurrence of the TBI in the elderly occupants. In addition, it was performed to determine the probability of TBI according to sex, vehicle type, seating position, seatbelt status, collision type, and crush extent using logistic regression analysis. In order to derive more precise predictive models, it would be needed to analyze more factors for vehicle damage, environment, and occupant injury in future studies.

scholarly journals Head Impact Injury Mitigation to Vehicle Occupants: An Investigation of Interior Padding and Head Form Modeling Options against Vehicle Crash

2021 ◽  
Author(s):  
Ermias G. Koricho ◽  
Elizabeth Dimsdale
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Brain Injuries ◽  
Motor Vehicle ◽  
Impact Load ◽  
Age Groups ◽  
Vehicle Crash ◽  
Materials Modeling ◽  
Head Form ◽  
The Brain

Traumatic Brain Injuries (TBI) occur approximately 1.7 million times each year in the U.S., with motor vehicle crashes as the second leading cause of TBI-related hospitalizations, and the first leading cause of TBI-related deaths among specific age groups. Several studies have been conducted to better understand the impact on the brain in vehicle crash scenarios. However, the complexity of the head is challenging to replicate numerically the head response during vehicle crash and the resulting traumatic Brain Injury. Hence, this study aims to investigate the effect of vehicle structural padding and head form modeling representation on the head response and the resulting causation and Traumatic Brain Injury (TBI). In this study, a simplified and complex head forms with various geometries and materials including the skull, cerebrospinal fluid (CSF), neck, and muscle were considered to better understand and predict the behavior of each part and their effect on the response of the brain during an impact scenario. The effect of padding thickness was also considered to further analyze the interaction of vehicle structure and the head response. The numeral results revealed that the responses of the head skull and the brain under impact load were highly influenced by the padding thickness, head skull material modeling and assumptions, and neck compliance. Generally, the current work could be considered an alternative insight to understand the correlation between vehicle structural padding, head forms, and materials modeling techniques, and TBI resulted from a vehicle crash.

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