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

Abstract

Department

Description

Provenance

Subjects

Citation

Published Version (Please cite this version)

10.1016/j.jshs.2023.03.003

Publication Info

Zhan, Xianghao, Yiheng Li, Yuzhe Liu, Nicholas J Cecchi, Samuel J Raymond, Zhou Zhou, Hossein Vahid Alizadeh, Jesse Ruan, et al. (2023). Machine-learning-based head impact subtyping based on the spectral densities of the measurable head kinematics. Journal of Sport and Health Science. 10.1016/j.jshs.2023.03.003 Retrieved from https://hdl.handle.net/10161/27035.

This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.

Scholars@Duke

Grant

Gerald Arthur Grant

Allan H. Friedman Distinguished Professor of Neurosurgery

Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.