2023 Fiscal Year Final Research Report
Development of Concussion Criteria for Various Sports Based on Head Impact Collection, Tests and Mechanical Analyses
| Project/Area Number |
20H04073
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Review Section |
Basic Section 59020:Sports sciences-related
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
中山 晴雄 東邦大学, 医学部, 講師 (10537377)
張 月琳 上智大学, 理工学部, 准教授 (20635685)
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| Project Period (FY) |
2020-04-01 – 2024-03-31
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| Keywords | スポーツ脳振盪 |
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| Outline of Final Research Achievements |
The objectives of this study are: to collect integrated data on impact conditions and diagnostic information using a mouthpiece-type impact sensor; to elucidate the mechanism of brain deformation behaviour based on reproduction tests using a novel head dummy and simulations using a human finite element model; to construct a sports concussion database linking impact conditions, diagnostic information and brain deformation information; and to establish concussion occurrence criteria for sports-specific impact conditions by machine learning. As the results, this study developed a concussion occurrence classification method and a brain strain waveform prediction model were developed using machine learning. Thus, a concussion occurrence prediction method with higher accuracy and calculation speed than conventional methods was constructed.
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| Free Research Field |
傷害バイオメカニクス
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| Academic Significance and Societal Importance of the Research Achievements |
スポーツにおける衝撃条件に対応した脳振盪発生基準を構築することを目的として，衝撃条件・脳変形情報を紐付けたスポーツ脳振盪データベースを構築し，機械学習による脳振盪発生有無分類手法，(b)深層学習による脳ひずみ波形予測モデルの構築を行った．これにより，従来よりも高精度かつ高速な脳振盪発生予測手法の構築を行うことができた．
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