A study on the diagnostic support system of the repetitive brain concussion based on the reconstruction analysis of the accident : The accident cases of Judo and American football
書誌事項
- タイトル
- A study on the diagnostic support system of the repetitive brain concussion based on the reconstruction analysis of the accident : The accident cases of Judo and American football
- タイトル別名
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- 事故の再現と解析による繰り返し脳震盪の診断支援システムの検討 : 柔道とアメリカンフットボールにおける事故を例として
- Diagnosis of the repetitive brain concussion
- 著者
- 青村, 茂
- 著者別名
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- アオムラ, シゲル
- Aomura, Shigeru
- 著者
- ナカダテ, ヒロミチ
- 著者別名
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- Nakadate, Hiromichi
- 著者
- Zhang, Yuelin
- 著者
- ウエノ, タカヒロ
- 著者別名
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- Ueno, Takahiro
- 著者
- 西村, 明儒
- 著者別名
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- ニシムラ, アキヨシ
- Nishimura, Akiyoshi
- 学位授与大学
- 徳島大学
- 取得学位
- 博士(医学)
- 学位授与番号
- 甲医第1570号
- 学位授与年月日
- 2023-03-23
説明
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.
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詳細情報 詳細情報について
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- CRID
- 1910022708927982080
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- NII論文ID
- 500001686144
- 500001565276
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- 本文言語コード
- en
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- データソース種別
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- IRDB
- NDLサーチ