activity
20202025
most citedValidation and Comparison of Instrumented Mouthguards for Measuring Head Kinematics and Assessing Brain Deformation in Football Impacts

152 citations · 472 across the 20 of their papers we have counts for

collaborators

20 papers

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.CL2023★ 1 cited

Linking Symptom Inventories using Semantic Textual Similarity

Eamonn Kennedy, Shashank Vadlamani, Hannah M Lindsey +79

An extensive library of symptom inventories has been developed over time to measure clinical symptoms, but this variety has led to several long standing issues. Most notably, resul…

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…

physics.med-ph2022★ 2 cited

Padded Helmet Shell Covers in American Football: A Comprehensive Laboratory Evaluation with Preliminary On-Field Findings

Nicholas J. Cecchi, Ashlyn A. Callan, Landon P. Watson +8

Protective headgear effects measured in the laboratory may not always translate to the field. In this study, we evaluated the impact attenuation capabilities of a commercially avai…

q-bio.QM2021★ 15 cited

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…

cs.LG2021★ 13 cited

Rapidly and accurately estimating brain strain and strain rate across head impact types with transfer learning and data fusion

Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi +4

Brain strain and strain rate are effective in predicting traumatic brain injury (TBI) caused by head impacts. However, state-of-the-art finite element modeling (FEM) demands consid…

cs.CE2021★ 18 cited

Physics-informed machine learning improves detection of head impacts

Samuel J. Raymond, Nicholas J. Cecchi, Hossein Vahid Alizadeh +6

In this work we present a new physics-informed machine learning model that can be used to analyze kinematic data from an instrumented mouthguard and detect impacts to the head. Mon…

stat.AP2021★ 13 cited

Kinematics clustering enables head impact subtyping for better traumatic brain injury prediction

Xianghao Zhan, Yiheng Li, Yuzhe Liu +5

Traumatic brain injury can be caused by various types of head impacts. However, due to different kinematic characteristics, many brain injury risk estimation models are not general…

physics.data-an2021

A comparison of sports-related head accelerations with and without direct head impacts

Samuel J. Raymond, Yuzhe Liu, Nicholas J. Cecchi +9

Concussion and repeated exposure to mild traumatic brain injury are risks for athletes in many sports. While direct head impacts are analyzed to improve the detection and awareness…

q-bio.QM2021★ 24 cited

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…

physics.med-ph2021★ 8 cited

Time Window of Head Impact Kinematics Measurement for Calculation of Brain Strain and Strain Rate in American Football

Yuzhe Liu, August G. Domel, Nicholas J. Cecchi +8

Wearable devices have been shown to effectively measure the head movement during impacts in sports like American football. When a head impact occurs, the device is triggered to col…

physics.bio-ph2021★ 37 cited

Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation

Xianghao Zhan, Yiheng Li, Yuzhe Liu +12

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…

physics.bio-ph2020★ 9 cited

Theoretical and numerical analysis for angular acceleration being determinant of brain strain in mTBI

Yuzhe Liu, Xianghao Zhan, August G. Domel +7

Mild traumatic brain injury (mTBI, also known as concussion) caused by the head impact is a crucial global public health problem, but the physics of mTBI is still unclear. During t…

q-bio.TO2020★ 61 cited

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

Xianghao Zhan, Yiheng Li, Yuzhe Liu +10

Multiple brain injury criteria (BIC) are developed to quickly quantify brain injury risks after head impacts. These BIC originated from different types of head impacts (e.g., sport…

q-bio.TO2020★ 71 cited

Deep Learning Head Model for Real-time Estimation of Entire Brain Deformation in Concussion

Xianghao Zhan, Yuzhe Liu, Samuel J. Raymond +6

Objective: Many recent studies have suggested that brain deformation resulting from a head impact is linked to the corresponding clinical outcome, such as mild traumatic brain inju…

cs.LG2020★ 21 cited

A New Open-Access Platform for Measuring and Sharing mTBI Data

August G. Domel, Samuel J. Raymond, Chiara Giordano +22

Despite numerous research efforts, the precise mechanisms of concussion have yet to be fully uncovered. Clinical studies on high-risk populations, such as contact sports athletes,…

physics.bio-ph2020★ 152 cited

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

Yuzhe Liu, August G. Domel, Seyed Abdolmajid Yousefsani +4

Because of the relatively rigid coupling between the upper dentition and the skull, instrumented mouthguards have been shown to be a viable way of measuring head impact kinematics…