Linked Life Data

12941214

Source:http://linkedlifedata.com/resource/pubmed/id/12941214

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2003-8-27
pubmed:abstractText
This study evaluates the ability of the Hybrid III dummy and its associated injury criteria to discriminate sled tests with injurious conditions from those without. Ninety-three matched human cadaver and Hybrid III frontal sled tests over a range of impact speeds and restraint conditions are considered. Chest acceleration, deflection, and CTI are used as predictors of rib fracture outcome in the matched cadaver tests. Univariate and multivariate models are developed to evaluate the importance of the dummy measures relative to three experimental parameters (test speed, restraint condition, seating position) and three cadaver characteristics (age, gender, mass). The primary findings are, first, that chest acceleration has no utility for injury discrimination (Kruskal's Gamma = 0.0319, area under the receiver-operator characteristic = 0.500). Second, the functional relationship between any Hybrid III injury measure and injury risk is sensitive to all three experimental factors. Injury risk models with consideration of this dependence are presented. It is shown that the Hybrid-III chest deflection corresponding to a given level of injury risk is greatest for air bag loading, lowest for belt loading, and intermediate for combined loading. This is shown to be non-biofidelic, since chest deflection as measured directly on the cadaver does not exhibit this sensitivity.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1540-0360
pubmed:author
pubmed:issnType
Print
pubmed:volume
47
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
51-75
pubmed:dateRevised
2008-2-26
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
The Hybrid III dummy as a discriminator of injurious and non-injurious restraint loading.
pubmed:affiliation
Department of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA, USA.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Evaluation Studies