Use of brain biomechanical models for monitoring impact exposure in contact sports

S Ji, M Ghajari, H Mao, RH Kraft… - Annals of Biomedical …, 2022 - Springer
Head acceleration measurement sensors are now widely deployed in the field to monitor
head kinematic exposure in contact sports. The wealth of impact kinematics data provides …

Translational models of mild traumatic brain injury tissue biomechanics

X Zhan, A Oeur, Y Liu, MM Zeineh, GA Grant… - Current Opinion in …, 2022 - Elsevier
Traumatic brain injury (TBI) is a global health concern. Mild TBI (mTBI) which accounts for
the majority of TBI cases, is hard to detect since often the imaging is normal but can still …

Identifying Factors Associated with Head Impact Kinematics and Brain Strain in High School American Football via Instrumented Mouthguards

NJ Cecchi, AG Domel, Y Liu, E Rice, R Lu… - Annals of biomedical …, 2021 - Springer
Repeated head impact exposure and concussions are common in American football.
Identifying the factors associated with high magnitude impacts aids in informing sport policy …

Rapid estimation of entire brain strain using deep learning models

X Zhan, Y Liu, SJ Raymond… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Objective: Many recent studies suggest that brain deformation resulting from head impacts
are linked to the corresponding clinical outcome, such as mild traumatic brain injury (mTBI) …

Consensus head acceleration measurement practices (CHAMP): laboratory validation of wearable head kinematic devices

L Gabler, D Patton, M Begonia, R Daniel… - Annals of Biomedical …, 2022 - Springer
Wearable devices are increasingly used to measure real-world head impacts and study
brain injury mechanisms. These devices must undergo validation testing to ensure they …

The relationship between brain injury criteria and brain strain across different types of head impacts can be different

X Zhan, Y Li, Y Liu, AG Domel… - Journal of the …, 2021 - royalsocietypublishing.org
Multiple brain injury criteria (BIC) are developed to quickly quantify brain injury risks after
head impacts. These BIC originated from different head impact types (eg sports and car …

Predictive factors of kinematics in traumatic brain injury from head impacts based on statistical interpretation

X Zhan, Y Li, Y Liu, AG Domel, HV Alizadeh… - Annals of biomedical …, 2021 - Springer
Brain tissue deformation resulting from head impacts is primarily caused by rotation and can
lead to traumatic brain injury. To quantify brain injury risk based on measurements of …

Brain deformation estimation with transfer learning for head impact datasets across impact types

X Zhan, Y Liu, NJ Cecchi, O Gevaert… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Objective: The machine-learning head model (MLHM) to accelerate the calculation of brain
strain and strain rate, which are the predictors for traumatic brain injury (TBI), but the model …

A morphologically individualized deep learning brain injury model

N Lin, S Wu, S Ji - Journal of Neurotrauma, 2023 - liebertpub.com
The brain injury modeling community has recommended improving model subject specificity
and simulation efficiency. Here, we extend an instantaneous (< 1 sec) convolutional neural …

A sensor-enabled cloud-based computing platform for computational brain biomechanics

RR Menghani, A Das, RH Kraft - Computer Methods and Programs in …, 2023 - Elsevier
Abstract Background and Objectives Driven by the risk of repetitive head trauma, sensors
have been integrated into mouthguards to measure head impacts in contact sports and …