Altair
Case Studies
Developing an Injury Threshold for Human Brain Concussion using IoT
Overview
Developing an Injury Threshold for Human Brain Concussion using IoTAltair |
Analytics & Modeling - Digital Twin / Simulation Sensors - Haptic Sensors | |
Automotive Life Sciences | |
Product Research & Development | |
Digital Twin Virtual Reality | |
Testing & Certification | |
Operational Impact
The operational results of this solution were significant. The finite element simulations allowed for predictions of the intracranial pressure distribution and local stress/strain of intracranial mechanical responses for a given input associated with either a concussion or a non-injury event. The mechanical response parameters of intracranial pressure and brain shear stress, both predicted by the simulation model, were selected as the most promising indicators of MTBI. The study concluded that intracranial pressure can serve as a global response indicator for MTBI and that high translational shear stress concentrations were found to be localized in the upper brain stem and thalamus regions. The induced shear stress may alter brain function leading to mild brain injury. The solution also proposed an injury tolerance based on head kinematics, applicable to football and across a broad range of activities. | |
Quantitative Benefit
Approximately 2 million TBI cases occur each year, the solution aims to reduce this number significantly. | |
The WSUHIM model has fine anatomic detail of the cranium and brain with more than 300,000 HyperMesh elements. | |
The cranium of the modified FE model was loaded by translational and rotational accelerations measured from 24 laboratory head impact reconstructions. | |