Scholarly Works, Center for Injury Biomechanics
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Browsing Scholarly Works, Center for Injury Biomechanics by Author "Duma, Stefan M."
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- Brain Injury Prediction: Assessing the Combined Probability of Concussion Using Linear and Rotational Head AccelerationRowson, Steven; Duma, Stefan M. (BMES, 2013-05)Recent research has suggested possible long term effects due to repetitive concussions, highlighting the importance of developing methods to accurately quantify concussion risk. This study introduces a new injury metric, the combined probability of concussion, which computes the overall risk of concussion based on the peak linear and rotational accelerations experienced by the head during impact. The combined probability of concussion is unique in that it determines the likelihood of sustaining a concussion for a given impact, regardless of whether the injury would be reported or not. The risk curve was derived from data collected from instrumented football players (63,011 impacts including 37 concussions), which was adjusted to account for the underreporting of concussion. The predictive capability of this new metric is compared to that of single biomechanical parameters. The capabilities of these parameters to accurately predict concussion incidence were evaluated using two separate datasets: the Head Impact Telemetry System (HITS) data and National Football League (NFL) data collected from impact reconstructions using dummies (58 impacts including 25 concussions). Receiver operating characteristic curves were generated, and all parameters were significantly better at predicting injury than random guessing. The combined probability of concussion had the greatest area under the curve for all datasets. In the HITS dataset, the combined probability of concussion and linear acceleration were significantly better predictors of concussion than rotational acceleration alone, but not different from each other. In the NFL dataset, there were no significant differences between parameters. The combined probability of concussion is a valuable method to assess concussion risk in a laboratory setting for evaluating product safety.
- Methodology for assessing the biomechanical performance of helmets(United States Patent and Trademark Office, 2017-10-24)The present invention provides a method for testing a helmet that uses a risk function that incorporates both linear and rotational acceleration to predict the helmet's ability to prevent a concussion. In certain embodiments, the testing matrix includes 3 impact energy levels and 4 impact locations, for a total of 12 testing conditions per helmet.
- Virginia Tech-Wake Forest University Center for Injury Biomechanics 10 Year HistoryDuma, Stefan M. (Brain Injuries and Biomechanics Symposium, 2013-09-19)The Virginia Tech-Wake Forest University Center for Injury Biomechanics (CIB) has completed 10 years of research in the fields of automobile safety, military restraints, and sports biomechanics. The CIB has grown to include 74 researchers lead by 10 faculty and 48 staff and student researchers. These researchers examine human tolerance across a range of dynamic loading environments for all body regions. The CIB is the largest university based injury biomechanics research group in the world. It includes five separate laboratory facilities with over 40,000 sq. ft. of dedicated research space. The faculty and staff have published nearly 300 journal and refereed conference papers in 10 general research areas. The objective of this paper is to summarize briefly the CIB research capabilities and accomplishments.