Injury risk prediction using elderly digital human body model

被引：2
|
作者：
Choi, H. Y. [1 ]
机构：
[1] Hongik Univ, Dept Mech Syst Design Engn, Seoul 121791, South Korea
来源：
INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY | 2015年 / 16卷 / 03期
关键词：
Elderly human body model; Injury risk; Frontal sled simulation; Rib fracture; Chest deflection;
D O I：
10.1007/s12239-015-0048-8
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Frontal crash sled simulation is performed with Hybrid III dummy and elderly human body model to assess the relative high injury risk of older population. The sled model representing a typical driver side seat with a restraint system is validated against the test result. The current restraint design is tailored to the younger generation and found to be less effective for the older driver. The 48kph frontal crash simulation predicted AIS 4 level chest injury (7 rib fractures) of the elderly driver while 10 % risk of rib fracture was found with the Hybrid III dummy.
引用
收藏
页码：465 / 469
页数：5
相关论文
共 50 条
  • [21] The prediction model of fall risk for the elderly based on gait analysis
    Jia, Shuqi
    Si, Yanran
    Guo, Chengcheng
    Wang, Peng
    Li, Shufan
    Wang, Jing
    Wang, Xing
    BMC PUBLIC HEALTH, 2024, 24 (01)
  • [22] Construction of a mortality risk prediction model for elderly people at risk of lobectomy for NSCLC
    Zhang, Hongzhen
    Ren, Dingfei
    Cheng, Danqing
    Wang, Wenping
    Li, Yongtian
    Wang, Yisong
    Lu, Dekun
    Zhao, Feng
    FRONTIERS IN SURGERY, 2023, 9
  • [23] Fall Prediction Model for the Elderly Using Postural Sway
    Kang, Dongwon
    Choi, Jinseung
    Seo, Jeongwoo
    Tack, Gyerae
    2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2017, : 2261 - 2263
  • [24] Injury Risk Prediction in Soccer Using Machine Learning
    Shen, Brendan
    Shalaginov, Mikhail Y.
    Zeng, Tingying Helen
    22ND IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA 2023, 2023, : 2103 - 2106
  • [25] Development and validation of an elderly human body model for frontal impacts
    Umale, Sagar
    Khandelwal, Prashant
    Humm, John
    Yoganandan, Narayan
    TRAFFIC INJURY PREVENTION, 2020, 21 : S147 - S149
  • [26] Statistical Human Body Shape Model including Elderly People
    Yoshiyasu, Yusuke
    Samy, Vincent
    Imamura, Yumeko
    Ayusuwa, Ko
    Sagawa, Ryuusuke
    Yoshida, Eiichi
    42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20, 2020, : 4848 - 4853
  • [27] Digital human body-human body system digital science
    Bi, SW
    Proceedings of the World Engineers' Convention 2004, Vol B, Biological Engineering and Health Care, 2004, : 258 - 263
  • [28] Computerized task risk assessment using digital human modeling based Job Risk Classification Model
    Tian, Renran
    Duffy, Vincent G.
    COMPUTERS & INDUSTRIAL ENGINEERING, 2011, 61 (04) : 1044 - 1052
  • [29] Risk Factors for Digital Replantation Failure: A Nomogram Prediction Model
    Guo, Tianhao
    Ma, Tao
    Gao, Ruijiao
    Yu, Kunlun
    Bai, Jiangbo
    THERAPEUTICS AND CLINICAL RISK MANAGEMENT, 2024, 20 : 929 - 937
  • [30] Development of seismic response analysis model of human body by CART-type double inverted pendulum model for prediction of human injury during earthquake
    Hida T.
    Ohno A.
    Itoi T.
    Takada T.
    Journal of Structural and Construction Engineering, 2019, 84 (765): : 1377 - 1387
12345