Traumatic Brain Injury

AI-based identification of head impact locations, speeds, and force based on head kinematics simulations
Objective: With the development of wearable sensors, head kinematics data have become widely available. However, key impact …
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Differences between two maximal principal strain rate calculation schemes in traumatic brain analysis with in-vivo and in-silico datasets
Brain deformation caused by a head impact leads to traumatic brain injury (TBI). The maximum principal strain (MPS) was used to measure …
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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 …
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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 …
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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 …
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Finding the Spatial Co-Variation of Brain Deformation With Principal Component Analysis
This study applies principal component analysis (PCA) to investigate spatial co-variation patterns of traumatic brain injury metrics, …
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