Dataset. 2021
Injury metrics for assessing the risk of acute subdural hematoma in traumatic events [Dataset]
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/364350
UPCommons. Portal del coneixement obert de la UPC
- García Vilana, Silvia
- Sánchez Molina, David
Biomechanical data on the strength of Cerebral Bridging Veins (CBVs), a study funded by La Marató de TV3 (2020-2021). Data on maximum axial force on the tested specimens, strain rate of the test, and the relationship between the two are examined and the probability distributions for the sample are obtained.
Data set used for the article "Injury metrics for assessing the risk of acute subdural hematoma in traumatic events" (2021), published in IJERPH ( ISSN: 1660-4601, Basel, Switzerland, MDPI), Project: ``Age Effects on Traumatic Brain Injuries'' funded by Fundació La Marató de TV3, Barcelona, No. Grant 289/C/2017, 201704.30.
DOI: http://hdl.handle.net/2117/364350
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/364350
HANDLE: http://hdl.handle.net/2117/364350
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/364350
Ver en: http://hdl.handle.net/2117/364350
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/364350
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UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/359139
Artículo científico (article). 2021
INJURY METRICS FOR ASSESSING THE RISK OF ACUTE SUBDURAL HEMATOMA IN TRAUMATIC EVENTS
UPCommons. Portal del coneixement obert de la UPC
- García Vilana, Silvia
- Sánchez Molina, David
- Velázquez Ameijide, Juan
- Llumà Fuentes, Jordi
Worldwide, the ocurrence of acute subdural hematomas (ASDHs) in road traffic crashes is a major public health problem. ASDHs are usually produced by loss of structural integrity of one of the cerebral bridging veins (CBVs) linking the parasagittal sinus to the brain. Therefore, to assess the risk of ASDH it is important to know the mechanical conditions to which the CBVs are subjected during a potentially traumatic event (such as a traffic accident or a fall from height). Recently, new studies on CBVs have been published allowing much more accurate prediction of the likelihood of mechanical failure of CBVs. These new data can be used to propose new damage metrics, which make more accurate predictions about the probability of occurrence of ASDH in road crashes. This would allow a better assessement of the effects of passive safety countermeasures and, consequently, to improve vehicle restraint systems. Currently, some widely used damage metrics are based on partially obsolete data and measurements of the mechanical behavior of CBVs that have not been confirmed by subsequent studies. This paper proposes a revision of some existing metrics and constructs a new metric based on more accurate recent data on the mechanical failure of human CBVs., Peer Reviewed
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