Consensus Head Acceleration Measurement Practices (CHAMP): origins, methods, transparency and disclosure

KB Arbogast, JB Caccese, TA Buckley… - Annals of biomedical …, 2022 - Springer
The use of head kinematic measurement devices has recently proliferated owing to
technology advances that make such measurement more feasible. In parallel, demand to …

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) …

Time window of head impact kinematics measurement for calculation of brain strain and strain rate in American football

Y Liu, AG Domel, NJ Cecchi, E Rice, AA Callan… - Annals of biomedical …, 2021 - Springer
Wearable devices have been shown to effectively measure the head's movement during
impacts in sports like American football. When a head impact occurs, the device is triggered …

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 …

A wearable hydraulic shock absorber with efficient energy dissipation

NJ Cecchi, Y Liu, RV Vegesna, X Zhan, W Yang… - International Journal of …, 2024 - Elsevier
Advances in shock absorber technology are often translated to wearable personal protective
equipment (PPE) to protect humans from impact-related injuries. However, the effectiveness …

Toward a comprehensive delineation of white matter tract-related deformation

Z Zhou, X Li, Y Liu, M Fahlstedt, M Georgiadis… - Journal of …, 2021 - liebertpub.com
Finite element (FE) models of the human head are valuable instruments to explore the
mechanobiological pathway from external loading, localized brain response, and resultant …

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 …

Adaptive machine learning head model across different head impact types using unsupervised domain adaptation and generative adversarial networks

X Zhan, J Sun, Y Liu, NJ Cecchi, E Le Flao… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Machine learning head models (MLHMs) are developed to estimate brain deformation from
sensor-based kinematics for early detection of traumatic brain injury (TBI). However, the …

The White Matter Fiber Tract Deforms Most in the Perpendicular Direction During In Vivo Volunteer Impacts

Z Zhou, C Olsson, TC Gasser, X Li… - Journal of …, 2024 - liebertpub.com
White matter (WM) tract-related strains are increasingly used to quantify brain mechanical
responses, but their dynamics in live human brains during in vivo impact conditions remain …

Finding the spatial co-variation of brain deformation with principal component analysis

X Zhan, Y Liu, NJ Cecchi, O Gevaert… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Objective: Strain and strain rate are effective traumatic brain injury metrics. In finite element
(FE) head model, thousands of elements were used to represent the spatial distribution of …