245 citations · 759 across the 24 of their papers we have counts for
5 papers · 1 filter
Data-driven decomposition of brain dynamics with principal component analysis in different types of head impacts
Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi +4
Strain and strain rate are effective traumatic brain injury predictors. Kinematics-based models estimating these metrics suffer from significant different distributions of both kin…
Machine-learning-based head impact subtyping based on the spectral densities of the measurable head kinematics
Xianghao Zhan, Yiheng Li, Yuzhe Liu +11
Objective: Traumatic brain injury can be caused by head impacts, but many brain injury risk estimation models are not equally accurate across the variety of impacts that patients m…
Prevention of Traumatic Brain Injury with Liquid Shock Absorption
Hossein Vahid Alizadeh, Michael G. Fanton, August G. Domel +2
The discovery that repetitive mild traumatic brain injury (mTBI) can result in chronic traumatic encephalopathy (CTE) in high risk contact sports has led to increased scrutiny of h…
Multi-directional dynamic model for traumatic brain injury detection
Kaveh Laksari, Michael Fanton, Lyndia C. Wu +13
Traumatic brain injury (TBI) is a complex injury that is hard to predict and diagnose, with many studies focused on associating head kinematics to brain injury risk. Recently, ther…
In vivo evaluation of wearable head impact sensors
Lyndia C. Wu, Vaibhav Nangia, Kevin Bui +5
Inertial sensors are commonly used to measure human head motion. Some sensors have been validated with dummy or cadaver experiments, but methods to evaluate sensors in vivo are lac…