Literature DB >> 21512903

Evaluation of the field relevance of several injury risk functions.

Priya Prasad1, Harold J Mertz, Danius J Dalmotas, Jeffrey S Augenstein, Kennerly Diggs.   

Abstract

An evaluation of the four injury risk curves proposed in the NHTSA NCAP for estimating the risk of AIS>= 3 injuries to the head, neck, chest and AIS>=2 injury to the Knee-Thigh-Hip (KTH) complex has been conducted. The predicted injury risk to the four body regions based on driver dummy responses in over 300 frontal NCAP tests were compared against those to drivers involved in real-world crashes of similar severity as represented in the NASS. The results of the study show that the predicted injury risks to the head and chest were slightly below those in NASS, and the predicted risk for the knee-thigh-hip complex was substantially below that observed in the NASS. The predicted risk for the neck by the Nij curve was greater than the observed risk in NASS by an order of magnitude due to the Nij risk curve predicting a non-zero risk when Nij = 0. An alternative and published Nte risk curve produced a risk estimate consistent with the NASS estimate of neck injury. Similarly, an alternative and published chest injury risk curve produced a risk estimate that was within the bounds of the NASS estimates. No published risk curve for femur compressive load could be found that would give risk estimates consistent with the range of the NASS estimates. Additional work on developing a femur compressive load risk curve is recommended.

Entities:  

Mesh:

Year:  2010        PMID: 21512903     DOI: 10.4271/2010-22-0004

Source DB:  PubMed          Journal:  Stapp Car Crash J        ISSN: 1532-8546


  7 in total

1.  Evaluation of the Fall Protection of Type I Industrial Helmets.

Authors:  John Z Wu; Christopher S Pan; Clayton Cobb; Andrew Moorehead; Tsui-Ying Kau; Bryan M Wimer
Journal:  Ann Biomed Eng       Date:  2022-02-05       Impact factor: 3.934

2.  A stochastic model validated with human test data causally associating target vehicle Delta V, occupant cervicocranial biomechanics, and injury during rear-impact crashes.

Authors:  Sean S Kohles; Jonathan W McClaren
Journal:  J Forensic Leg Med       Date:  2022-09-10       Impact factor: 1.691

3.  Optimized lower leg injury probability curves from postmortem human subject tests under axial impacts.

Authors:  Narayan Yoganandan; Mike W J Arun; Frank A Pintar; Aniko Szabo
Journal:  Traffic Inj Prev       Date:  2014       Impact factor: 1.491

4.  Methodology for Evaluation of WIAMan Injury Assessment Reference Curves Using Whole Body Match-Paired Data.

Authors:  David R Barnes; Kerry A Danelson; Nitin M Moholkar; Kathryn L Loftis
Journal:  Ann Biomed Eng       Date:  2021-04-20       Impact factor: 3.934

Review 5.  Age-Infusion Approach to Derive Injury Risk Curves for Dummies from Human Cadaver Tests.

Authors:  Narayan Yoganandan; Anjishnu Banerjee; Frank A Pintar
Journal:  Front Bioeng Biotechnol       Date:  2015-12-14

6.  Multibody Models for the Analysis of a Fall From Height: Accident, Suicide, or Murder?

Authors:  Giulia Pascoletti; Daniele Catelani; Paolo Conti; Filippo Cianetti; Elisabetta M Zanetti
Journal:  Front Bioeng Biotechnol       Date:  2019-12-12

7.  Crash test-based assessment of injury risks for adults and children when colliding with personal mobility devices and service robots.

Authors:  Diego Paez-Granados; Aude Billard
Journal:  Sci Rep       Date:  2022-03-28       Impact factor: 4.379

  7 in total

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