NDLI: Assessment of Kinematic Brain Injury Metrics for Predicting Strain Responses in Diverse Automotive Impact Conditions

Content Provider	Springer Nature Link
Author	Gabler, Lee F. Crandall, Jeff R. Panzer, Matthew B.
Copyright Year	2016
Abstract	Numerous injury criteria have been developed to predict brain injury using the kinematic response of the head during impact. Each criterion utilizes a metric that is some mathematical combination of the velocity and/or acceleration components of translational and/or rotational head motion. Early metrics were based on linear acceleration of the head, but recent injury criteria have shifted towards rotational-based metrics. Currently, there is no universally accepted metric that is suitable for a diverse range of head impacts. In this study, we assessed the capability of fifteen existing kinematic-based metrics for predicting strain-based brain response using four different automotive impact conditions. Tissue-level strains were obtained through finite element model simulation of 660 head impacts including occupant and pedestrian crash tests, and pendulum head impacts. Correlations between head kinematic metrics and predicted brain strain-based metrics were evaluated. Correlations between brain strain and metrics based on angular velocity were highest among those evaluated, while metrics based on linear acceleration were least correlative. BrIC and RVCI were the kinematic metrics with the highest overall correlation; however, each metric had limitations in certain impact conditions. The results of this study suggest that rotational head kinematics are the most important parameters for brain injury criteria.
Starting Page	3705
Ending Page	3718
Page Count	14
File Format	PDF
ISSN	00906964
Journal	Annals of Biomedical Engineering
Volume Number	44
Issue Number	12
e-ISSN	15739686
Language	English
Publisher	Springer US
Publisher Date	2016-07-19
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Brain injury criteria Head kinematics Translational Rotational Finite element modeling Biomedicine Biomedical Engineering Biological and Medical Physics, Biophysics Classical Mechanics Biochemistry
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

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