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FROM THE WAYNE STATE TOLERANCE CURVE TO MACHINE LEARNING: A NEW FRAMEWORK FOR ANALYZING HEAD IMPACT KINEMATICS

thesis
posted on 20.04.2022, 18:22 authored by Breana R CappuccilliBreana R Cappuccilli
Despite the alarming incidence rate and potential for debilitating outcomes of sports-related concussion, the underlying mechanisms of injury remain to be expounded. Since as early as 1950, researchers have aimed to characterize head impact biomechanics through in-lab and in-game investigations. The ever-growing body of literature within this area has supported the inherent connection between head kinematics during impact and injury outcomes. Even so, traditional metrics of peak acceleration, time window, and HIC have outlived their potential. More sophisticated analysis techniques are required to advance the understanding of concussive vs subconcussive impacts. The work presented within this thesis was motivated by the exploration of advanced approaches to 1) experimental theory and design of impact reconstructions and 2) characterization of kinematic profiles for model building. These two areas of investigation resulted in the presentation of refined, systematic approaches to head impact analysis that should begin to replace outdated standards and metrics.

Funding

Clare Boothe Luce

Purdue Doctoral Fellowship

Hommert Engineering Excellence Fellowship

History

Degree Type

Doctor of Philosophy

Department

Mechanical Engineering

Campus location

West Lafayette

Advisor/Supervisor/Committee Chair

Eric Nauman

Additional Committee Member 2

Charles Krousgrill

Additional Committee Member 3

Klod Kokini

Additional Committee Member 4

Adrian Buganza Tepole

Additional Committee Member 5

Lefteri Tsoukalas