A study on the diagnostic support system of the repetitive brain concussion based on the reconstruction analysis of the accident.

IF 0.7 Q4 MEDICINE, RESEARCH & EXPERIMENTAL
Shigeru Aomura, Hiromichi Nakadate, Yuelin Zhang, Takahiro Ueno, Akiyoshi Nishimura
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引用次数: 0

Abstract

In this paper the effectiveness of the support system which predicts the risk of the repetitive brain concussion is studied biomechanically. In the risk prediction system, the accident that caused the concussion is reconstructed by analyzing the game video via multibody dynamics and the resulting brain injury is calculated in detail by the finite element method. In order to calculate the aggravation of the brain injury by the repeated brain concussion, the following two methods are examined. In the first method, the material properties of the part of the brain damaged by the1st impact are changed in the simulation of the 2nd impact. In the second method, each brain damage caused by the repeated impacts is accumulated. The system was applied to the real-life accidents that occurred during Judo and American football games. As a result of the simulations, the aggravation of the brain damage due to repetitive concussion was determined numerically in terms of the maximum strain of the brain and the brain damage rate of the whole brain. The biomechanical process of the collision accidents and the resulting brain damage were reconstructed based on the video and the results are effective to prevent the future repeated concussion accidents. J. Med. Invest. 70 : 213-220, February, 2023.

基于事故重建分析的重复性脑震荡诊断支持系统研究。
本文从生物力学角度研究了支持系统预测重复性脑震荡风险的有效性。在风险预测系统中,通过多体动力学方法对游戏视频进行分析,重构导致脑震荡的事故,并采用有限元法对事故造成的脑损伤进行详细计算。为了计算反复脑震荡对脑损伤的加重程度,研究了以下两种方法。在第一种方法中,在第二次撞击的模拟中,被第一次撞击损伤的大脑部分的材料特性发生了变化。在第二种方法中,反复撞击造成的每一次脑损伤都是累积起来的。该系统被应用于柔道和美式足球比赛中发生的现实事故。根据模拟结果,从脑最大应变和全脑损伤率两方面数值确定了重复性脑震荡脑损伤的加重程度。在此基础上重建了碰撞事故的生物力学过程及所造成的脑损伤,结果对预防未来的重复脑震荡事故是有效的。中华医学杂志,2016,31(2):379 - 379。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JOURNAL OF MEDICAL INVESTIGATION
JOURNAL OF MEDICAL INVESTIGATION MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
1.20
自引率
0.00%
发文量
55
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