Predicting Cumulative and Maximum Brain Strain Measures From HybridIII Head Kinematics: A Combined Laboratory Study and Post-Hoc Regression Analysis

Annals of Biomedical Engineering
Brooklynn M Knowles, Christopher R Dennison

Abstract

Due to growing concern on brain injury in sport, and the role that helmets could play in preventing brain injury caused by impact, biomechanics researchers and helmet certification organizations are discussing how helmet assessment methods might change to assess helmets based on impact parameters relevant to brain injury. To understand the relationship between kinematic measures and brain strain, we completed hundreds of impacts using a 50th percentile Hybrid III head-neck wearing an ice hockey helmet and input three-dimensional impact kinematics to a finite element brain model called the Simulated Injury Monitor (SIMon) (n = 267). Impacts to the helmet front, back and side included impact speeds from 1.2 to 5.8 ms-1. Linear regression models, compared through multiple regression techniques, calculating adjusted R 2 and the F-statistic, determined the most efficient set of kinematics capable of predicting SIMon-computed brain strain, including the cumulative strain damage measure (specifically CSDM-15) and maximum principal strain (MPS). Resultant change in angular velocity, Δω R, better predicted CSDM-15 and MPS than the current helmet certification metric, peak g, and was the most efficient model for predicting strain, regard...Continue Reading

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Citations

Dec 12, 2018·Sports Biomechanics·Loren Z F Chiu, Gabriella L vonGaza
Oct 9, 2019·Annals of Biomedical Engineering·Bethany RowsonStefan M Duma
Feb 8, 2021·Dental Traumatology : Official Publication of International Association for Dental Traumatology·Kathryn P HougChristopher R Dennison
Sep 3, 2021·Annals of Biomedical Engineering·Yanir LevyHaojie Mao

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Software Mentioned

Simulated Injury Monitor ( SIMon )
SIMon
Labview
Matlab

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