Multi-Directional Dynamic Model for Traumatic Brain Injury Detection.

ABSTRACT: Given the worldwide adverse impact of traumatic brain injury (TBI) on the human population, its diagnosis and prediction are of utmost importance. Historically, many studies have focused on associating head kinematics to brain injury risk. Recently, there has been a push toward using computationally expensive finite element (FE) models of the brain to create tissue deformation metrics of brain injury. Here, we develop a new brain injury metric, the brain angle metric (BAM), based on the dynamics of a 3 degree-of-freedom lumped parameter brain model. The brain model is built based on the measured natural frequencies of an FE brain model simulated with live human impact data. We show that it can be used to rapidly estimate peak brain strains experienced during head rotational accelerations t

SUBMITTER: Laksari K 

PROVIDER: S-EPMC7175617 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature