旋转载荷下脑位移的平均响应计算模型验证。

IF 4.4 2区 医学 Q2 ENGINEERING, BIOMEDICAL
Ahmed A Alshareef, J Sebastian Giudice, Taotao Wu, Matthew B Panzer
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引用次数: 0

摘要

目的:大脑的计算模型通常使用来自大脑运动数据集的个体受试者进行验证,但是与个体受试者的比较没有考虑自然存在于人群中的生物力学变化。当来自多个受试者的数据可用时,构建生物力学走廊来评估模型的生物保真度。然而,由于应用头部运动学,大脑生物力学响应的一组健壮的走廊并不存在模型验证。本研究的目的是基于原位脑位移数据集创建通道,该数据集包括在12种加载条件下测试的6个样本。方法:使该任务复杂化的主要因素有三个,包括头部运动学的变化、传感器初始位置的差异以及空间分散数据的聚类。我们采用了各种数值和统计方法来解释这些实验变化,并使用现有的原位数据集和计算脑模型对技术进行了优化和验证。结果:走廊是使用数据集中24个脑内离散位置的样本反应的平均值和标准差构建的。在大多数脑传感器位置,峰值位移的差异小于30%。结论:走廊将作为评估计算脑模型生物保真度的更好的验证工具,并将有助于理解脑生物力学的学科间变异性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Average Responses of Brain Displacement Under Rotational Loading for Computational Model Validation.

Objective: Computational models of the brain are typically validated using individual subjects from datasets of brain motion, but a comparison to an individual subject does not consider the biomechanical variation that naturally exists in the population. When data from multiple subjects is available, biomechanical corridors are constructed for the assessment of model biofidelity. However, a robust set of corridors for brain's biomechanical response due to applied head kinematics does not exist for model validation. The aim of this study was to create corridors based on a dataset of in situ brain displacement that included six specimens tested under a set of twelve loading conditions.

Methods: There were three main factors that complicated this task, including variation in head kinematics, differences in the initial position of the sensors, and the clustering of spatially scattered data. We employed various numerical and statistical methods to account for these experimental variations, with optimization and validation of the techniques conducted using the existing in situ dataset and a computational brain model.

Results: Corridors were constructed using average and standard deviation of the specimen responses in the dataset for 24 discrete locations within the brain. Peak displacement showed a variance of less than 30% for most brain sensor locations.

Conclusion: The corridors will serve as a better validation tool for assessing the biofidelity of computational brain models and will help understand inter-subject variability in brain biomechanics.

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来源期刊
IEEE Transactions on Biomedical Engineering
IEEE Transactions on Biomedical Engineering 工程技术-工程:生物医学
CiteScore
9.40
自引率
4.30%
发文量
880
审稿时长
2.5 months
期刊介绍: IEEE Transactions on Biomedical Engineering contains basic and applied papers dealing with biomedical engineering. Papers range from engineering development in methods and techniques with biomedical applications to experimental and clinical investigations with engineering contributions.
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