activity
20202026
most citedPredictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation

37 citations · 166 across the 15 of their papers we have counts for

collaborators

16 papers

physics.app-ph2026

Evaluating Advanced Impact Mitigation Technologies for Concussion Risk Reduction in Youth Cycling Helmets

Jessica A Towns, Fady F Abayazid, Gerald A Grant +2

The efficacy of advanced cycling helmet technologies under youth-specific impact conditions remains unclear. We evaluated how helmet technologies affect head kinematics and concuss…

physics.med-ph2025

Limitations of Rotational Acceleration for Predicting Concussion: A New Injury Risk Function

Jessica A. Towns, Nicholas J. Cecchi, James W. Hickey +9

Purpose: Rotational acceleration of the head has long been hypothesized to be a primary driver of concussion because it can generate shear strains in brain tissue, whereas linear a…

eess.SP2024★ 1 cited

Differences between Two Maximal Principal Strain Rate Calculation Schemes in Traumatic Brain Analysis with in-vivo and in-silico Datasets

Xianghao Zhan, Zhou Zhou, Yuzhe Liu +5

Brain deformation caused by a head impact leads to traumatic brain injury (TBI). The maximum principal strain (MPS) was used to measure the extent of brain deformation and predict…

eess.SP2024★ 3 cited

Identification of head impact locations, speeds, and force based on head kinematics

Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi +5

Objective: Head impact information including impact directions, speeds and force are important to study traumatic brain injury, design and evaluate protective gears. This study pre…

cs.LG2023★ 11 cited

Toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation

Xianghao Zhan, Jiawei Sun, Yuzhe Liu +5

Machine learning head models (MLHMs) are developed to estimate brain deformation for early detection of traumatic brain injury (TBI). However, the overfitting to simulated impacts…

cs.LG2022★ 12 cited

Denoising instrumented mouthguard measurements of head impact kinematics with a convolutional neural network

Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi +6

Wearable sensors for measuring head kinematics can be noisy due to imperfect interfaces with the body. Mouthguards are used to measure head kinematics during impacts in traumatic b…