The influence of acceleration loading curve characteristics on traumatic brain injury

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Title: The influence of acceleration loading curve characteristics on traumatic brain injury
Authors: Post, Andrew
Hoshizaki, Thomas Blaine
Gilchrist, M. D.
et al.
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Date: Mar-2014
Abstract: To prevent brain trauma, understanding the mechanism of injury is essential. Once the mechanism of brain injury has been identified, prevention technologies could then be developed to aid in their prevention. The incidence of brain injury is linked to how the kinematics of a brain injury event affects the internal structures of the brain. As a result it is essential that an attempt be made to describe how the characteristics of the linear and rotational acceleration influence specific traumatic brain injury lesions. As a result, the purpose of this study was to examine the influence of the characteristics of linear and rotational acceleration pulses and how they account for the variance in predicting the outcome of TBI lesions, namely contusion, subdural hematoma (SDH), subarachnoid hemorrhage (SAH), and epidural hematoma (EDH) using a principal components analysis (PCA). Monorail impacts were conducted which simulated falls which caused the TBI lesions. From these reconstructions, the characteristics of the linear and rotational acceleration were determined and used for a PCA analysis. The results indicated that peak resultant acceleration variables did not account for any of the variance in predicting TBI lesions. The majority of the variance was accounted for by duration of the resultant and component linear and rotational acceleration. In addition, the components of linear and rotational acceleration characteristics on the x, y, and z axes accounted for the majority of the remainder of the variance after duration.
Type of material: Journal Article
Publisher: Elsevier
Journal: Journal of Biomechanics
Volume: 47
Issue: 5
Start page: 1074
End page: 1081
Copyright (published version): 2014 Elsevier
Keywords: Traumatic brain injuryPrinciple components analysisKinematics
DOI: 10.1016/j.jbiomech.2013.12.026
Language: en
Status of Item: Peer reviewed
Appears in Collections:Mechanical & Materials Engineering Research Collection

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