Projects per year
Abstract
In the real world, the severity of traumatic injuries is measured using the Abbreviated Injury Scale (AIS) and is often estimated, in finite element human computer models, with the maximum principal strains (MPS) tensor. MPS can predict when a serious injury is reached, but cannot provide any AIS measures lower and higher from this. To overcome these limitations, a new organ trauma model (OTM2), capable of calculating the threat to life of any organ injured, is proposed. The OTM2 model uses a power method, namely peak virtual power, and defines brain white and grey matters trauma responses. It includes human age effect (volume and stiffness), localised impact contact stiffness and provides injury severity adjustments for haemorrhaging. The focus, in this case, is on real world pedestrian brain injuries. OTM2 model was tested against three real-life pedestrian accidents and has proven to reasonably predict the post mortem (PM) outcome. Its AIS predictions are closer to the real-world injury severity than the standard maximum principal strain (MPS) methods currently used. This proof of concept suggests that OTM2 has the potential to improve forensic predictions as well as contribute to the improvement in vehicle safety design through the ability to measure injury severity. This study concludes that future advances in trauma computing would require the development of a brain model that could predict haemorrhaging.
Original language | English |
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Article number | 240542684 |
Pages (from-to) | 1563-1585 |
Number of pages | 23 |
Journal | Computer Methods in Biomechanics and Biomedical Engineering |
Volume | 27 |
Issue number | 11 |
Early online date | 1 Jul 2024 |
DOIs | |
Publication status | Published - 17 Aug 2024 |
Bibliographical note
© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis GroupThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
Funder
The authors would like to thank the Road Safety Trust for funding the ‘Reducing Road Traffic Casualties through Improved Forensic Techniques and Vehicle Design’ (‘RoaD’) (RST 65-3-2017) project.Keywords
- Peak virtual power (PVP)
- pedestrian
- accident reconstruction
- injury prediction
- Abbreviated Injury Scale (AIS)
- organ trauma model
Fingerprint
Dive into the research topics of 'A Proof of Concept Model to Calculate White and Grey Matter AIS Injuries in Pedestrian Collisions'. Together they form a unique fingerprint.Projects
- 1 Finished
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Reducing Road Traffic Casualties through Improved Forensic Techniques and Vehicle Design (RoaD)
1/03/18 → 29/02/20
Project: Research
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A Generic Brain Trauma Computer Framework to Assess Brain Injury Severity and Bridging Vein Rupture in Traumatic Falls
Bastien, C., Sturgess, C. N., Davies, H., Hardwicke, J., Cloake, T. & Zioupos, P., 26 May 2021, (E-pub ahead of print) In: Journal of Head Neck & Spine Surgery. 4, 4, p. 47-60 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile57 Downloads (Pure) -
Road Safety Trust (RST 65-3-2017) “Reducing Road Traffic Casualties through Improved Forensic Techniques and Vehicle Design (“RoaD”) - Final Report
Bastien, C., Davies, H., Sturgess, C. N. & Wellings, R., 22 May 2020, (Submitted) 36 p.Research output: Book/Report › Commissioned report › peer-review
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Press/Media
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Impact Equation
Christophe Bastien & Vadhiraj Shrinivas
9/09/24
1 Media contribution
Press/Media: Public Engagement Activities
Prizes
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Delivering Improved Pedestrian Post Crash Triage
Bastien, Christophe (Recipient), Davies, Huw (Recipient), Sturgess, Clive Neal (Recipient) & Wellings, Richard (Recipient), 2 Nov 2021
Prize: National/international honour
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