Browse Topic: Neck
The return to Earth is a rough ride for astronauts, from the violent turbulence of atmospheric entry to a jarring landing. Hitting the ground in a Soyuz capsule is the equivalent of driving a car backward into a brick wall at 20 mph, and it’s resulting in more head and neck injuries than NASA computer models predicted. To collect more data, NASA’s Johnson Space Center in Houston commissioned a Small Business Innovation Research (SBIR) project to develop a wearable data recorder for astronaut spacesuits. One result, created by Diversified Technical Systems Inc. (DTS), is a miniature commercial device that now collects and transmits data for any application from airplane test flights to tracking high-value shipments.
The effect of seat belt misuse and/or misrouting is important to consider because it can influence occupant kinematics, reduce restraint effectiveness, and increase injury risk. As new seatbelt technologies are introduced, it is important to understand the prevalence of seatbelt misuse. This type of information is scarce due to limitations in available field data coding, such as in NASS-CDS and FARS. One explanation may be partially due to assessment complexity in identifying misuse and/or misrouting. An objective of this study was to first identify types of lap-shoulder belt misuse/misrouting and associated injury patterns from a literature review. Nine belt misuse/misrouting scenarios were identified including shoulder belt only, lap belt only, or shoulder belt under the arm, for example, while belt misrouting included lap belt on the abdomen, shoulder belt above the breasts, or shoulder belt on the neck. Next, the literature review identified various methods used to assess misuse/misrouting including testimonies and physical evidence on the occupant (i.e., belt marks/injury pattern) and on the vehicle interior and/or restraint system (i.e., loading marks). The literature review also highlighted the scarcity of test data on this topic, which may be beneficial to help guide technologies used to address and detect such scenarios. A surrogate study with a female volunteer was conducted for each of the nine belt misuse/misrouting scenarios identified from the literature review. The webbing lengths and angles at the hardware were measured. The results provide a first step in documenting evidence that could be part of a crash investigation. Additional studies with various size occupants are suggested, in conjunction with physical and/or mathematical simulation tests. Based on the literature review, a comprehensive and integrated framework to determine belt misuse/misrouting was summarized. The framework is based on information from police and accident vehicle investigation, and medical and radiology records. It also highlighted the need to measure webbing lengths and seat belt hardware angles that can be used in conjunction with surrogate studies and dynamic tests. Technologies such as video footage from in-vehicle cameras have the potential to provide additional data.
Rear-end vehicle collisions may lead to whiplash-associated disorders (WADs), comprising a variety of neck and head pain responses. Specifically, increased axial head rotation has been associated with the risk of injuries during rear impacts, while specific tissues, including the capsular ligaments, have been implicated in pain response. Given the limited experimental data for out-of-position rear impact scenarios, computational human body models (HBMs) can inform the potential for tissue-level injury. Previous studies have considered external boundary conditions to reposition the head axially but were limited in reproducing a biofidelic movement. The objectives of this study were to implement a novel head repositioning method to achieve targeted axial rotations and evaluate the tissue-level response for a rear impact condition. The repositioning method used reference geometries to rotate the head to three target positions, showing good correspondence to reported interverbal rotations. Under a 7 g rear impact scenario, the head-turned models were compared with the neutral position and demonstrated increases in the maximum capsular ligament distractions. Increased head rotation was associated with increased ligament distractions. The locations with critical ligament distractions shifted to the lower cervical spine (below C3) and lateral portion of the capsular ligaments for the head-turned position cases. The proposed repositioning method introduced in this study enabled the model to achieve steady head rotations with realistic cervical spine movements, increasing the biofidelity of out-of-position rear impact simulations.
Eighteen research posters were prepared and presented by student authors at the 18th Annual Injury Biomechanics Symposium. The posters covered a wide breadth of works-in-progress and recently completed projects. Topics included a variety of body regions and injury scenarios such as: Head: Defining the mass, center of mass, and anatomical coordinate system of the pig head and brain; the influence of friction on oblique helmet testing; validation of an in-ear sensor for measuring head impact exposure in American football Neck and spine: Design of paramedic mannequin neck informed by adult passive neck stiffness and range of motion data; identifying injury from flexion-compression loading of porcine lumbar intervertebral disc Thorax: Tensile material properties of costal cartilage perichondrium; finite element models of both an ovine thorax and adipose tissue for high-rate non-penetrating blunt impact Pelvis: Injurious pelvis deformation in high-speed rear-facing frontal impacts Lower extremities: Generation of 3D pediatric femur models from 2D radiographs; plantar thickness and stiffness using ultrasound; knee injuries in skiing and snowboarding using artificial intelligence 3D modeling; jumping kinematics, and kinetics in athletes with secondary task of heading a soccer ball Full body, vehicle occupants: Comparison of Hybrid III, THOR mid-size male, and small female ATDs in frontal sled tests; effects of booster seat on reclined small females during lateral oblique low-acceleration impacts; airbag deployment for out-of-position 50th percentile male human body model Full body, unique loading scenarios: Development of seat fixture and restraints for FE human body model during vertical loading; methodology for PMHS-occupied powered two wheeler and motor vehicle crash scenario
The purpose of this document is to provide the user with the procedures needed to properly assemble and disassemble the 50th percentile male Hybrid III dummy, certify its components and verify its mass and dimensions. Also within this manual are guidelines for handling accelerometers, repairing flesh and setting joints.
This SAE Recommended Practice outlines a series of performance recommendations, which concern the whole data channel. These recommendations are not subject to any variation and all of them shall be adhered to by any agency conducting tests to this practice. However, the method of demonstrating compliance with the recommendations is flexible and can be adapted to suit the needs of the particular equipment the agency is using. It is not intended that each recommendation be taken in a literal sense, as necessitating a single test to demonstrate that the recommendation is met. Rather, it is intended that any agency proposing to conduct tests to this practice shall be able to demonstrate that if such a single test could be and were carried out, then their equipment would meet the recommendations. This demonstration shall be undertaken on the basis of reasonable deductions from evidence in their possession, such as the results of partial tests. In some systems, it may be necessary to divide the whole channel into subsystems, for calibration and checking purposes. The recommendations have been written only for the whole channel, as this is the sole route by which subsystem performances affect the quality of the output. If it is difficult to measure the whole channel performance, which is usually the case, the test agency may treat the channel as two or more convenient subsystems. The whole channel performance could then be demonstrated on the basis of subsystem results, together with a rationale for combining the subsystem results together. SAE J211-1 of this SAE Recommended Practice covers electronic instrumentation. SAE J211-2 covers photographic instrumentation.
Field accident data and vehicle crash and sled testing indicate that occupant kinematics, loading, and associated injury risk generally increase with crash severity. Further, these data demonstrate that the use of restraints, such as three-point belts, provides mitigation of kinematics and reduction in loading and injury potential. This study evaluated the role of seat belts in controlling occupant kinematics and reducing occupant loading in moderate severity frontal collisions. Frontal tests with belted and unbelted anthropomorphic test devices (ATDs) in the driver and right front passenger seats were performed at velocity changes (delta-Vs) of approximately 19 kph (12 mph) and 32 kph (20 mph) without airbag deployment. At the lower-moderate severity (19 kph), motion of the belted ATDs was primarily arrested by seat belt engagement, while motion of the unbelted ATDs was primarily arrested by interaction with forward vehicle structures. Occupant loading and injury risk was generally lower with proper belt use as compared to an unbelted occupant. At the higher-moderate severity (32 kph), both the belted and unbelted ATDs demonstrated lower extremity engagement with forward vehicle structures, though femur compression loads were substantially attenuated for the belted ATDs. With belt use, the pelvis and torso were restrained by the seat belt which reduced overall forward torso and head excursion. As the neck flexed due to torso restraint, increased lower neck flexion was observed relative to the unbelted ATDs, though upper neck flexion remained greater for the unbelted ATD. In the higher-moderate severity test, neck flexion about the torso restraint resulted in the belted driver ATD’s head contacting the steering wheel. The unbelted ATDs moved forward in an unrestrained fashion until motion was arrested via contact with forward vehicle structures, resulting in generally higher occupant loading in comparison to their belted counterparts. These findings support the effectiveness of seat belts in controlling occupant kinematics and reducing injury potential in moderate severity frontal collisions.
The three-wheeled "Auto-Rickshaws" [Auto] plays a significant role in road transportation, especially in India. The crash safety and reconstruction studies have been widely used in four-wheelers, whereas the availability of such data for Auto was limited. In recent times, accident data processing from available videos is being utilized to observe the crash scenario. The crash parameters can be given as inputs to the crash analysis. This paper focuses on the process the real-world accident data and study crash characteristics. With limitation in the availability of detailed injuries post-crash, the study was restricted to reconstructing crash kinematics and estimating indicative injuries to the driver. The source of video data is videos of crash available in public domains like YouTube. PYTHON video processing tool has been used to process the set of real-world accident video data. Object detection, Pixel per meter computation and object tracking are the significant steps to process the accident data, from which the collision speed is obtained. The auto-rickshaw CAE model and driver dummy (Adult male 50 percentile) were used in LS DYNA to conduct crash analysis at obtained collision speed. The reconstructed crash with matching kinematics showed that the driver experienced a noticeable amount of impact forces near the neck joint and knees. This methodology is proposed as a step in the direction of understanding occupant safety in auto rickshaws.
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