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加速度加载曲线特征对创伤性脑损伤的影响。

The influence of acceleration loading curve characteristics on traumatic brain injury.

机构信息

Human Kinetics, University of Ottawa, Ottawa, Canada.

Human Kinetics, University of Ottawa, Ottawa, Canada.

出版信息

J Biomech. 2014 Mar 21;47(5):1074-81. doi: 10.1016/j.jbiomech.2013.12.026. Epub 2014 Jan 16.

DOI:10.1016/j.jbiomech.2013.12.026
PMID:24484643
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.

摘要

为了预防脑损伤,了解损伤机制至关重要。一旦确定了脑损伤的机制,就可以开发预防技术来帮助预防脑损伤。脑损伤的发生率与脑损伤事件的运动学如何影响大脑的内部结构有关。因此,必须尝试描述线性和旋转加速度的特征如何影响特定的创伤性脑损伤病变。因此,本研究的目的是检查线性和旋转加速度脉冲的特征及其如何解释预测 TBI 病变(即挫伤、硬膜下血肿(SDH)、蛛网膜下腔出血(SAH)和硬膜外血肿(EDH))结果的差异,使用主成分分析(PCA)。进行了单轨撞击模拟导致 TBI 病变的跌倒。从这些重建中,确定了线性和旋转加速度的特征,并用于 PCA 分析。结果表明,峰值合成加速度变量不能解释 TBI 病变预测的任何差异。大部分差异由合成和分量线性和旋转加速度的持续时间决定。此外,在持续时间之后,x、y 和 z 轴上的线性和旋转加速度特征分量解释了其余大部分差异。

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