Imperial College London
Alternate

Dr Mazdak Ghajari

Faculty of Engineering, Dyson School of Design Engineering

Reader in Brain Biomechanics
 
 
 
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Contact

 

+44 (0)20 7594 9236m.ghajari Website

 
 
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Location

 

Dyson BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Fahlstedt:2021:10.1007/s10439-020-02703-w,
author = {Fahlstedt, M and Abayazid, F and Panzer, MB and Trotta, A and Zhao, W and Ghajari, M and Gilchrist, MD and Ji, S and Kleiven, S and Li, X and Annaidh, AN and Halldin, P},
doi = {10.1007/s10439-020-02703-w},
journal = {Annals of Biomedical Engineering},
pages = {1097--1109},
title = {Ranking and rating bicycle helmet safety performance in oblique impacts using eight different brain injury models},
url = {http://dx.doi.org/10.1007/s10439-020-02703-w},
volume = {49},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Fahlstedt,M
AU  - Abayazid,F
AU  - Panzer,MB
AU  - Trotta,A
AU  - Zhao,W
AU  - Ghajari,M
AU  - Gilchrist,MD
AU  - Ji,S
AU  - Kleiven,S
AU  - Li,X
AU  - Annaidh,AN
AU  - Halldin,P
DO  - 10.1007/s10439-020-02703-w
EP  - 1109
PY  - 2021///
SN  - 0090-6964
SP  - 1097
TI  - Ranking and rating bicycle helmet safety performance in oblique impacts using eight different brain injury models
T2  - Annals of Biomedical Engineering
UR  - http://dx.doi.org/10.1007/s10439-020-02703-w
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000609366100003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://link.springer.com/article/10.1007%2Fs10439-020-02703-w
UR  - http://hdl.handle.net/10044/1/91088
VL  - 49
ER  -
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