An Examination of Isolated and Interaction-Based Biomechanical Metrics for Potential Lower Neck Injury Criteria

Author(s):  
Sajal Chirvi ◽  
Frank A. Pintar ◽  
Narayan Yoganandan

Lower neck injuries inferior to C4 level, such as fractures and dislocations, occur in motor vehicle crashes, sports, and military events. The recently developed interaction criterion, termed Nij, has been used in automotive safety standards and is applicable to the upper neck. Such criterion does not exist for the lower neck. This study was designed to conduct an analysis of data of lower neck injury metrics toward the development of a mechanistically appropriate injury criterion. Axial loads were applied to the crown of the head of post mortem human subject (PMHS) head-neck complexes at different loading rates. The generalized force histories at the inferior end of the head-neck complex were recorded using a load cell and were transformed to the cervical-thoracic joint. Peak force and peak moment (flexion or extension) were quantified for each test from corresponding time histories. Initially, a survival analysis approach was used to derive injury probability curves based on peak force and peak moment alone. Both force and moment were considered as primary variables and age a covariate in the survival analysis. Age was found to be a significant (p<0.05) covariate for the compressive force and flexion moment but insignificant for extension moment (p>0.05). A lower neck Nij formulation was done to derive a combined interactive metric. To derive cadaver-based metrics, critical intercepts were obtained from the 90% injury probability point on peak force and peak moment curves. The PMHS-based critical intercepts derived from this study for compressive force, flexion, and extension moment were 4471 N, 218 Nm, and 120 Nm respectively. The lower cervical spine injury criterion, Lower Nij (LNij), was evaluated in two different formulations: peak LNij and mechanistic peak LNij. Peak LNij was obtained from the LNij time history regardless of when it occurred. Mechanistic peak LNij was obtained from the LNij time history only during the time when the resulting injury mechanism occurred. Injury mechanism categorization included compression-flexion, compression-extension, and those best represented by a more pure compression-related classification. Mechanistic peak LNij was identified based on the peak timing of the injury mechanism. Peak LNij and mechanistic peak LNij were found to be significant (p<0.05) predictors of injury with age as a covariate. The 50% injury probability was 1.38 and 1.13 for peak LNij and mechanistic peak LNij, respectively. These results provide preliminary data based on PMHS tests for establishing lower neck injury criteria that may be used in automotive applications, sports and military research to advance safety systems.

2017 ◽  
Vol 45 (5) ◽  
pp. 1194-1203 ◽  
Author(s):  
Narayan Yoganandan ◽  
Frank A. Pintar ◽  
Anjishnu Banerjee

2020 ◽  
pp. 1-3
Author(s):  
Narayan Yoganandan ◽  
John Humm ◽  
Preston Greenhalgh ◽  
Jeffrey Somers

Author(s):  
Ekaterina Smotrova ◽  
Lucy Morris ◽  
Donal McNally

Abstract Purpose We present a unique opportunity to compare standard neck injury criteria (used by the automotive industry to predict injury) with real-life injuries. The injuries sustained during, and the overall kinematics of, a television demonstration of whiplash mechanics were used to inform and validate a vertebral level model of neck mechanics to examine the relevance of current injury criteria used by the automotive industry. Methods Frontal and rear impact pulses, obtained from videos of sled motion, were used to drive a MADYMO human model to generate detailed segmental level biomechanics. The maximum amplitude of the frontal and rear crash pulses was 166 ms−2 and 196 ms−2, respectively, both with a duration of 0.137 s. The MADYMO model was used to predict standard automotive neck injury criteria as well as detailed mechanics of each cervical segment. Results Whilst the subject suffered significant upper neck injuries, these were not predicted by conventional upper neck injury criteria (Nij and Nkm). However, the model did predict anterior accelerations of C1 and C2 of 40 g, which is 5 times higher than the threshold of the acceleration for alar ligament injury. Similarly, excessive anterior shear displacement (15 mm) of the skull relative to C2 was predicted. Predictions of NIC, an injury criterion relevant to the lower neck, as well as maximum flexion angles for the lower cervical segments (C3–T1) exceeded injury thresholds. Conclusion The criteria used by the automotive industry as standard surrogates for upper neck injury (Nij and Nkm) did not predict the significant cranio-cervical junction injury observed clinically.


Author(s):  
J Latchford ◽  
E C Chirwa ◽  
T Chen ◽  
M Mao

Car-rear-impact-induced cervical spine injuries present a serious burden on society and, in response, seats offering enhanced protection have been introduced. Seats are evaluated for neck protection performance but only at one specific backrest angle, whereas in the real world this varies greatly owing to the variation in occupant physique. Changing the backrest angle modifies the seat geometry and thereby the nature of its interaction with the occupant. Low-velocity rear-impact tests on a BioRID II anthropomorphic test dummy (ATD) have shown that changes in backrest angle have a significant proportionate effect on dummy kinematics. A close correlation was found between changes in backrest angle and the responses of neck injury predictors such as lower neck loading and lower neck shear but not for the neck injury criterion NICmax. Torso ramping was evident, however, with negligible effect in low-velocity impacts. The backrest angle ranged from 20° to 30° whereas the BioRID II spine was adapted to a range from 20° to 26.5°. Nevertheless, in general, instrumentation outputs correlated well, indicating that this ATD could be used for evaluating seats over a 20–30° range rather than solely at 25° as required by current approval test specifications.


2019 ◽  
Vol 162 (2) ◽  
pp. 241-247 ◽  
Author(s):  
Jacob R. Brodsky ◽  
Sophie Lipson ◽  
Neil Bhattacharyya

Objectives Understand the prevalence of vestibular symptoms in US children. Study Design Cross-sectional analysis Setting 2016 National Health Interview Survey. Subjects and Methods Responses from the 2016 National Health Interview Survey for children ages 3 to 17 years were examined to determine the prevalence of vestibular symptoms and provider-assigned diagnoses. Results Dizziness or imbalance was reported in 3.5 (95% confidence interval, 3.1-3.9) million patients (5.6%) with a mean age of 11.5 years. Dizziness was reported in 1.2 million patients (2.0%) with a mean age of 12.7 years and balance impairment in 2.3 million patients (3.7%) with a mean age of 10.6 years. Prevalence of dizziness and imbalance did not vary by sex ( P = .6, P = .2). Evaluation by a health professional was reported for 42% of patients with dizziness and 43% of patients with imbalance, with diagnoses reported in 45% and 48% of patients with dizziness and imbalance, respectively. The most common diagnoses reported for dizziness were depression or child psychiatric disorder (12%), side effects from medications (11%), head/neck injury or concussion (8.4%), and developmental motor coordination disorder (8.3%). The most common diagnoses reported for imbalance were blurred vision with head motion, “bouncing” or rapid eye movements (9.1%), depression or child psychiatric disorder (6.2%), head/neck injury or concussion (6.1%), and side effects from medications (5.9%). Conclusion The national prevalence of childhood vestibular symptoms is more common than previously thought. Reported diagnoses varied greatly from the literature, suggesting a need for increased awareness of causes of vestibular symptoms in children.


2010 ◽  
Vol 3 (1) ◽  
pp. 308-323
Author(s):  
Christine Raasch ◽  
Michael Carhart ◽  
B. Johan Ivarsson ◽  
Scott Lucas

Sign in / Sign up

Export Citation Format

Share Document