Machine-learning-based head impact subtyping based on the spectral densities of the measurable head kinematics

• Main Authors: Xianghao Zhan (Author), Yiheng Li (Author), Yuzhe Liu (Author), Nicholas J. Cecchi (Author), Samuel J. Raymond (Author), Zhou Zhou (Author), Hossein Vahid Alizadeh (Author), Jesse Ruan (Author), Saeed Barbat (Author), Stephen Tiernan (Author), Olivier Gevaert (Author), Michael M. Zeineh (Author), Gerald A. Grant (Author), David B. Camarillo (Author)
• Format: Book
• Published: Elsevier, 2023-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Background: 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 may undergo, and the characteristics of different types of impacts are not well studied. We investigated the spectral ch...