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  1. Article

    Correction: Identifying Factors Associated with Head Impact Kinematics and Brain Strain in High School American Football via Instrumented Mouthguards

    Nicholas J. Cecchi, August G. Domel, Yuzhe Liu in Annals of Biomedical Engineering (2023)

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    Physics-Informed Machine Learning Improves Detection of Head Impacts

    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. Monitoring player impacts is vit...

    Samuel J. Raymond, Nicholas J. Cecchi in Annals of Biomedical Engineering (2022)

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    Article

    Identifying Factors Associated with Head Impact Kinematics and Brain Strain in High School American Football via Instrumented Mouthguards

    Repeated head impact exposure and concussions are common in American football. Identifying the factors associated with high magnitude impacts aids in informing sport policy changes, improvements to protective ...

    Nicholas J. Cecchi, August G. Domel, Yuzhe Liu in Annals of Biomedical Engineering (2021)

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

    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 kinematics on the head, finit...

    **anghao Zhan, Yiheng Li, Yuzhe Liu, August G. Domel in Annals of Biomedical Engineering (2021)

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    Article

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

    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 to collect and save the kinematic...

    Yuzhe Liu, August G. Domel, Nicholas J. Cecchi in Annals of Biomedical Engineering (2021)