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Dive into the research topics where Stephen A. Ridella is active.

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Featured researches published by Stephen A. Ridella.


Journal of Trauma-injury Infection and Critical Care | 2009

Association of contact loading in diffuse axonal injuries from motor vehicle crashes

Narayan Yoganandan; Thomas A. Gennarelli; Jiangyue Zhang; Frank A. Pintar; Erik G. Takhounts; Stephen A. Ridella

BACKGROUND Although studies have been conducted to analyze brain injuries from motor vehicle crashes, the association of head contact has not been fully established. This study examined the association in occupants sustaining diffuse axonal injuries (DAIs). METHODS The 1997 to 2006 motor vehicle Crash Injury Research Engineering Network database was used. All crash modes and all changes in velocity were included; ejections and rollovers were excluded; injuries to front and rear seat occupants with and without restraint use were considered. DAI were coded in the database using Abbreviated Injury Scale 1990. Loss of consciousness was included and head contact was based on medical- and crash-related data. RESULTS Sixty-seven occupants with varying ages were coded with DAI. Forty-one adult occupants (mean, 33 years of age, 171-cm tall, 71-kg weight; 30 drivers, 11 passengers) were analyzed. Mean change in velocity was 41.2 km/h and Glasgow Coma Scale score was 4. There were 33 lateral, 6 frontal, and 2 rear crashes with 32 survivors and 9 were fatalities. Two occupants in the same crash did not sustain DAI. Although skull fractures and scalp injuries occurred in some impacts, head contact was identified in all frontal, rear, and far side, and all but one nearside crashes. CONCLUSIONS Using a large sample size of occupants sustaining DAI in 1991 to 2006 model year vehicles, DAI occurred more frequently in side than frontal crashes, is most commonly associated with impact load transfer, and is not always accompanied by skull fractures. The association of head contact in >95% of cases underscores the importance of evaluating crash-related variables and medical information for trauma analysis. It would be prudent to include contact loading in addition to angular kinematics in the analysis and characterization of DAI.


Accident Analysis & Prevention | 2010

Severe-to-fatal head injuries in motor vehicle impacts

Narayan Yoganandan; Jamie L. Baisden; Dennis J. Maiman; Thomas A. Gennarelli; Yabo Guan; Frank A. Pintar; Prakash Laud; Stephen A. Ridella

Severe-to-fatal head injuries in motor vehicle environments were analyzed using the United States Crash Injury Research and Engineering Network database for the years 1997-2006. Medical evaluations included details and photographs of injury, and on-scene, trauma bay, emergency room, intensive care unit, radiological, operating room, in-patient, and rehabilitation records. Data were synthesized on a case-by-case basis. X-rays, computed tomography scans, and magnetic resonance images were reviewed along with field evaluations of scene and photographs for the analyses of brain injuries and skull fractures. Injuries to the parenchyma, arteries, brainstem, cerebellum, cerebrum, and loss of consciousness were included. In addition to the analyses of severe-to-fatal (AIS4+) injuries, cervical spine, face, and scalp trauma were used to determine the potential for head contact. Fatalities and survivors were compared using nonparametric tests and confidence intervals for medians. Results were categorized based on the mode of impact with a focus on head contact. Out of the 3178 medical cases and 169 occupants sustaining head injuries, 132 adults were in frontal (54), side (75), and rear (3) crashes. Head contact locations are presented for each mode. A majority of cases clustered around the mid-size anthropometry and normal body mass index (BMI). Injuries occurred at change in velocities (DeltaV) representative of US regulations. Statistically significant differences in DeltaV between fatalities and survivors were found for side but not for frontal impacts. Independent of the impact mode and survivorship, contact locations were found to be superior to the center of gravity of the head, suggesting a greater role for angular than translational head kinematics. However, contact locations were biased to the impact mode: anterior aspects of the frontal bone and face were involved in frontal impacts while temporal-parietal regions were involved in side impacts. Because head injuries occur at regulatory DeltaV in modern vehicles and angular accelerations are not directly incorporated in crashworthiness standards, these findings from the largest dataset in literature, offer a field-based rationale for including rotational kinematics in injury assessments. In addition, it may be necessary to develop injury criteria and evaluate dummy biofidelity based on contact locations as this parameter depended on the impact mode. The current field-based analysis has identified the importance of both angular acceleration and contact location in head injury assessment and mitigation.


Traffic Injury Prevention | 2008

Chest deflections and injuries in oblique lateral impacts

Narayan Yoganandan; Frank A. Pintar; Thomas A. Gennarelli; Peter G. Martin; Stephen A. Ridella

A majority of laboratory-driven side-impact injury assessments are conducted using postmortem human subjects (PMHS) under the pure lateral mode. Because real-world injuries occur under pure and oblique modes, this study was designed to determine chest deflections and injuries using PMHS under the latter mode. Anthropometrical data were obtained and x-rays were taken. Specimens were seated on a sled and lateral impact acceleration corresponding to a change in velocity of 24 km/h was applied such that the vector was at an angle of 20 or 30 degrees. Chestbands were fixed at the level of the axilla (upper), xyphoid process (middle), and tenth rib (lower) location. Deflection contours as a function of time at the levels of the axilla and mid-sternum, representing the thorax, and at the tenth rib level, representing the abdomen, were evaluated for peak magnitudes. All data were normalized using mass-scaling procedures. Injuries were identified following the test at autopsy. Trauma graded according to the Abbreviated Injury Score, 1990 version, indicated primarily unilateral rib fractures and soft tissue abnormalities such as lung contusion and diaphragm laceration occurred. Mean peak deflections at the upper, middle, and lower levels of the chest for the 30-degree tests were 96.2, 78.5, and 76.8 mm. For the 20-degree tests, these magnitudes were 77.5, 89.9, and 73.6 mm. Statistical analysis indicated no significant (p > 0.05) differences in peak chest deflections at all levels between the two obliquities although the metric was significantly greater in oblique than pure lateral impacts at the mid and lower thoracic levels. These response data are valuable in oblique lateral impact assessments.


Traffic Injury Prevention | 2011

BioTab--a new method for analyzing and documenting injury causation in motor-vehicle crashes.

Lawrence W. Schneider; Jonathan D. Rupp; Mark Scarboro; Frank A. Pintar; Kristy B. Arbogast; Rodney Rudd; Mark R. Sochor; Joel D. Stitzel; Christopher P. Sherwood; Joel B. MacWilliams; Dale Halloway; Stephen A. Ridella; Rolf H. Eppinger

Objective: To describe a new method for analyzing and documenting the causes of injuries in motor vehicle crashes that has been implemented since 2005 in cases investigated by the Crash Injury Research Engineering Network (CIREN). Methods: The new method, called BioTab, documents injury causation using evidence from in-depth crash investigations. BioTab focuses on developing injury causation scenarios (ICSs) that document all factors considered essential for an injury to have occurred as well as factors that contributed to the likelihood and/or severity of an injury. The elements of an injury causation scenario are (1) the source of the energy that caused the injury, (2) involved physical components (IPCs) contacted by the occupant that are considered necessary for the injury to have occurred, (3) the body region or regions contacted by each IPC, (4) the internal paths between body regions contacted by IPCs and the injured body region, (5) critical intrusions of vehicle components, and (6) factors that contributed to the likelihood and/or the severity of injury. Results: Advantages of the BioTab method are that it • attempts to identify all factors that cause or contribute to clinically significant injuries, • allows for coding of scenarios where one injury causes another injury, • associates injuries with a source of energy and allows injuries to be associated with sources of energy other than the crash, such as air bag deployment energy, • allows for documenting scenarios where an injury was caused by two different body regions contacting two different IPCs, • identifies and documents the evidence that supports ICSs and IPCs, • assigns confidence levels to ICSs and IPCs based on available evidence, and • documents body region and organ/component-level “injury mechanisms” and distinguishes these mechanisms from ICSs. Conclusion: The BioTab method provides for methodical and thorough evidenced-based analysis and documentation of injury causation in motor vehicle crashes.


Accident Analysis & Prevention | 2016

Epidemiology of moderate-to-severe injury patterns observed in rollover crashes

Timothy L. McMurry; Dipan Bose; Stephen A. Ridella; Ana Maria Eigen; Jeffrey Richard Crandall; Jason R. Kerrigan

BACKGROUND Previous epidemiological studies have highlighted the high risk of injury to the head, thorax, and cervical spine in rollover crashes. However, such results provide limited information on whole-body injury distribution and multiple region injury patterns necessary for the improvement and prioritization of rollover-focused injury countermeasures. METHODS Sampled cases representing approximately 133,000 U.S. adult occupants involved in rollover crashes (between 1995 and 2013) sustaining moderate-to-severe injuries were selected from the National Automotive Sampling System Crashworthiness Data System database. A retrospective cohort study, based on a survey of population-based data, was used to identify relevant whole body injury patterns. RESULTS Among belted occupants injured in rollover crashes, 79.2% sustained injuries to only one body region. The three most frequently injured (AIS2+) body regions were head (42.1%), upper extremity (28.0%), and thorax (27.1%). The most frequent multi-region injury pattern involved the head and upper extremity, but this pattern only accounted for 2.3% of all of occupants with moderate or worse injuries. CONCLUSIONS The results indicated that for rollover-dominated crashes, the frequently observed injury patterns involved isolated body regions. In contrast, multi-region injury patterns are more frequently observed in rollovers with significant planar impacts. Identification of region-specific injury patterns in pure rollover crashes is essential for clarifying injury mitigation targets and developing whole-body injury metrics specifically applicable to rollovers.


International Journal of Crashworthiness | 2017

Comparison of response variation of THOR and Hybrid III dummy Models in a controlled rollover impact model

Stephen A. Ridella; Cezary Bojanowski

ABSTRACT Several dynamic rollover test procedures have been developed over the years; however, the repeatability of test results is often questioned. Also, there can be sensitivity of test and simulation results to small variations in the initial conditions. The objective of this study is to evaluate the response variation of three different crash dummy finite element (FE) models (two versions of a 50th percentile male Hybrid III (HIII) and a Test Device for Human Occupant Restraint (THOR) dummy) in a simulation of a controlled rollover test, using a late model vehicle FE model. A baseline model was established with each dummy, and then a global sensitivity analysis was performed for each dummy varying vehicle design and crash parameters. The simplified HIII dummy model was very sensitive to small variations in the initial conditions of the test. Both the THOR and detailed HIII models gave very consistent results presenting similar trends in the sensitivity analysis.


Stapp car crash journal | 2008

Investigation of Traumatic Brain Injuries Using the Next Generation of Simulated Injury Monitor (SIMon) Finite Element Head Model

Erik G. Takhounts; Stephen A. Ridella; Vikas Hasija; Rabih E. Tannous; J Quinn Campbell; Daniel P. Malone; Kerry A. Danelson; Joel D. Stitzel; Steven Rowson; Stefan M. Duma


Stapp car crash journal | 2009

Impact response of restrained PMHS in frontal sled tests: skeletal deformation patterns under seat belt loading

C. Gregory Shaw; Daniel Parent; Sergey V. Purtsezov; Jeffrey Richard Crandall; Richard W. Kent; Herve Guillemot; Stephen A. Ridella; Erik G. Takhounts; Peter G. Martin


Stapp car crash journal | 2009

Rear Seat Occupant Safety: An Investigation of a Progressive Force-Limiting, Pretensioning 3-Point Belt System Using Adult PMHS in Frontal Sled Tests

Jason Forman; Francisco J. López-Valdés; Matthew Kindig; Richard W. Kent; Stephen A. Ridella; Ola Boström


22nd International Technical Conference on the Enhanced Safety of Vehicles (ESV)National Highway Traffic Safety Administration | 2011

Kinematic rotational brain injury criterion (BRIC)

Erik G. Takhounts; Vikas Hasija; Stephen A. Ridella; Steve Rowson; Stefan M Duma

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Erik G. Takhounts

National Highway Traffic Safety Administration

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Frank A. Pintar

Medical College of Wisconsin

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Narayan Yoganandan

Medical College of Wisconsin

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Peter G. Martin

National Highway Traffic Safety Administration

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Matthew Craig

National Highway Traffic Safety Administration

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Rodney Rudd

National Highway Traffic Safety Administration

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Thomas A. Gennarelli

Medical College of Wisconsin

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Ana Maria Eigen

Federal Highway Administration

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