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Six Degree-of-Freedom Measurements of Human Mild Traumatic Brain Injury
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2015 (English)In: Annals of Biomedical Engineering, ISSN 0090-6964, E-ISSN 1521-6047, Vol. 43, no 8, 1918-1934 p.Article in journal (Refereed) Published
Abstract [en]

This preliminary study investigated whether direct measurement of head rotation improves prediction of mild traumatic brain injury (mTBI). Although many studies have implicated rotation as a primary cause of mTBI, regulatory safety standards use 3 degree-of-freedom (3DOF) translation-only kinematic criteria to predict injury. Direct 6DOF measurements of human head rotation (3DOF) and translation (3DOF) have not been previously available to examine whether additional DOFs improve injury prediction. We measured head impacts in American football, boxing, and mixed martial arts using 6DOF instrumented mouthguards, and predicted clinician-diagnosed injury using 12 existing kinematic criteria and 6 existing brain finite element (FE) criteria. Among 513 measured impacts were the first two 6DOF measurements of clinically diagnosed mTBI. For this dataset, 6DOF criteria were the most predictive of injury, more than 3DOF translation-only and 3DOF rotation-only criteria. Peak principal strain in the corpus callosum, a 6DOF FE criteria, was the strongest predictor, followed by two criteria that included rotation measurements, peak rotational acceleration magnitude and Head Impact Power (HIP). These results suggest head rotation measurements may improve injury prediction. However, more 6DOF data is needed to confirm this evaluation of existing injury criteria, and to develop new criteria that considers directional sensitivity to injury.

Place, publisher, year, edition, pages
2015. Vol. 43, no 8, 1918-1934 p.
Keyword [en]
Concussion, Mild traumatic brain injury (mTBI), Instrumented mouthguard, Six degree-of-freedom (6DOF) kinematics, Finite element model, Brain strain
National Category
Biomedical Laboratory Science/Technology
URN: urn:nbn:se:kth:diva-172151DOI: 10.1007/s10439-014-1212-4ISI: 000358249800018PubMedID: 25533767ScopusID: 2-s2.0-84937922371OAI: diva2:847285

QC 20150819

Available from: 2015-08-19 Created: 2015-08-14 Last updated: 2015-08-19Bibliographically approved

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Kleiven, Svein
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Neuronic Engineering
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