Sensitivity analysis of skull fracture
| Autor: | Anthony Vicini, Tarun Goswami |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Materials science
0206 medical engineering 02 engineering and technology Anatomy medicine.disease 020601 biomedical engineering 03 medical and health sciences Skull 0302 clinical medicine Frontal bone medicine.anatomical_structure Skull fracture medicine Fracture (geology) Statistical analysis Sensitivity (control systems) 030217 neurology & neurosurgery Statistical correlation Statistical software Biomedical engineering |
| Zdroj: | Biomaterials and Biomechanics in Bioengineering. 3:47-57 |
| ISSN: | 2465-9835 |
| DOI: | 10.12989/bme.2016.3.1.047 |
| Popis: | Results from multiple high profile experiments on the parameters influencing the impacts that cause skull fractures to the frontal, temporal, and parietal bones were gathered and analyzed. The location of the impact as a binary function of frontal or lateral strike, the velocity, the striking area of the impactor, and the force needed to cause skull fracture in each experiment were subjected to statistical analysis using the JMP statistical software pack. A novel neural network model predicting skull fracture threshold was developed with a high statistical correlation (R2=0.978) and presented in this text. Despite variation within individual studies, the equation herein proposes a 3 kN greater resistance to fracture for the frontal bone when compared to the temporoparietal bones. Additionally, impacts with low velocities (4.1 m/s) showed a greater frontal sensitivity. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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