Ranking and rating bicycle helmet safety performance in oblique impacts using eight different brain injury models
| Autor: | Peter Halldin, Svein Kleiven, Matthew B. Panzer, Antonia Trotta, Xiaogai Li, Songbai Ji, Wei Zhao, Madelen Fahlstedt, Aisling Ní Annaidh, Michael D. Gilchrist, Mazdak Ghajari, Fady Abayazid |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Technology
Brain injury criteria Computer science Finite element models 0206 medical engineering Concussion Biomedical Engineering Poison control 02 engineering and technology Models Biological Occupational safety and health 09 Engineering 03 medical and health sciences 0302 clinical medicine Engineering Oblique impact tests 11. Sustainability Statistics Injury prevention medicine Humans Engineering Biomedical 11 Medical and Health Sciences Science & Technology Rank (computer programming) Human factors and ergonomics Brain Equipment Design medicine.disease 020601 biomedical engineering Bicycling Biomechanical Phenomena Bicycle helmet Ranking Accidents Brain Injuries Original Article Head Protective Devices Metric (unit) Test methods human activities 030217 neurology & neurosurgery |
| Zdroj: | Annals of Biomedical Engineering |
| Popis: | Bicycle helmets are shown to offer protection against head injuries. Rating methods and test standards are used to evaluate different helmet designs and safety performance. Both strain-based injury criteria obtained from finite element brain injury models and metrics derived from global kinematic responses can be used to evaluate helmet safety performance. Little is known about how different injury models or injury metrics would rank and rate different helmets. The objective of this study was to determine how eight brain models and eight metrics based on global kinematics rank and rate a large number of bicycle helmets (n=17) subjected to oblique impacts. The results showed that the ranking and rating are influenced by the choice of model and metric. Kendall’s tau varied between 0.50 and 0.95 when the ranking was based on maximum principal strain from brain models. One specific helmet was rated as 2-star when using one brain model but as 4-star by another model. This could cause confusion for consumers rather than inform them of the relative safety performance of a helmet. Therefore, we suggest that the biomechanics community should create a norm or recommendation for future ranking and rating methods. Electronic supplementary material The online version of this article (10.1007/s10439-020-02703-w) contains supplementary material, which is available to authorized users. |
| Databáze: | OpenAIRE |
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