Normalization and Scaling for the Development of Human Injury Probability Curves: General Approach and Current Recommendation
Abstract
Normalization of human injury probability curve (HIPC) response data is used to reduce its variance and thereby reduce HIPC confidence interval width. Scaling is used to shift the basis of an HIPC from the population used in biomechanical experiments to a target population that is outside the range of the experimental population. In the Warrior Injury Assessment Manikin (WIAMan) HIPC data analysis, scaling could be used to account for the subject population used in experiments being substantially older than the WIAMan target population and thus having lower injury tolerance. Recommendations for initial WIAMan HIPC development for all body regions are not to normalize or scale the biomechanical data. Future work should revisit the decision not to normalize or scale, as computed tomography analysis of bone mineral density is a promising approach for future analyses.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 06, 2020
- Accession Number
- AD1103433
Entities
People
- Ashley Weaver
- Dale Bass
- David Barnes
- Jonathan D. Rupp
- Kathryn L. Loftis
- Liming Voo
- Narayan Yoganandan