Prediction of pedestrian brain injury due to vehicle impact using computational biomechanics models: Are head-only models sufficient?

Wang, Fang; Yu, Chao; Wang, Bingyu; Li, Guibing; Miller, Karol; Wittek, Adam

Wang, Fang; Yu, Chao; Wang, Bingyu; Li, Guibing; Miller, Karol; Wittek, Adam.

Afiliação

Wang F; School of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen, Fujian, China.
Yu C; School of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen, Fujian, China.
Wang B; School of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen, Fujian, China.
Li G; School of Mechanical Engineering, Hunan University of Science and Technology, Xiangtan, Hunan, China.
Miller K; Intelligent System for Medicine Laboratory, Department of Mechanical Engineering, The University of Western Australia, Perth, Western Australia, Australia.
Wittek A; Intelligent System for Medicine Laboratory, Department of Mechanical Engineering, The University of Western Australia, Perth, Western Australia, Australia.

Traffic Inj Prev ; 21(1): 102-107, 2020.

Article em En | MEDLINE | ID: mdl-31770038

Assuntos

Acidentes de Trânsito/estatística & dados numéricos; Lesões Encefálicas/epidemiologia; Pedestres; Fenômenos Biomecânicos; Análise de Elementos Finitos; Cabeça/fisiologia; Humanos; Masculino; Pessoa de Meia-Idade; Reprodutibilidade dos Testes

Palavras-chave

Car-to-pedestrian impact; accident reconstruction; biomechanics; computational model; coupling; head/brain injury risk

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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Lesões Encefálicas / Acidentes de Trânsito / Pedestres Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans / Male / Middle aged Idioma: En Revista: Traffic Inj Prev Ano de publicação: 2020 Tipo de documento: Article

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