Head Kinematics

AI-Based Denoising of Head Impact Kinematics Measurements With Convolutional Neural Network for Traumatic Brain Injury Prediction

Wearable devices used for measuring head impact kinematics are inherently noisy due to imperfect coupling with the human body. This …

Xianghao Zhan, Yuzhe Liu(刘雨喆), Nicholas J. Cecchi, Ashlyn A. Callan, Enora Le Flao, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo

Brain Deformation Estimation With Transfer Learning for Head Impact Datasets Across Impact Types

Objective: The machine-learning head model (MLHM) to accelerate the calculation of brain strain and strain rate, which are the …

Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo

Piecewise Multivariate Linearity Between Kinematic Features and Cumulative Strain Damage Measure (CSDM) Across Different Types of Head Impacts

Building on previous findings that no single global linear model can describe the relationship between brain strain and kinematic …

Xianghao Zhan, Yiheng Li, Yuzhe Liu(刘雨喆), Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo

Validation and Comparison of Instrumented Mouthguards for Measuring Head Kinematics and Assessing Brain Deformation in Football Impacts

Instrumented mouthguards are widely used to measure head kinematics due to the rigid coupling of upper dentition and skull. This study …

Yuzhe Liu(刘雨喆), August G. Domel, Seyed Abdolmajid Yousefsani, Jovana Kondic, Gerald A. Grant, Michael Zeineh, David B. Camarillo