A low-cost and movement-based tool for concussion diagnosis
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The most used assessment for identifying sport related concussion (SRC), the Sport Concussion Assessment Tool (SCAT), is subjective and relies heavily on selfreported symptomology and visual assessment of neuromotor control. Concussion-related neuromotor control deficits can be quantified using instrumented assessment systems. This is useful, as measures of neuromotor control provide more objective diagnostic criteria and can be reassessed throughout recovery to guide the rehabilitation process. However, many currently available tools for instrumented assessment of neuromotor control are too large or expensive to be clinically feasible. This dissertation proposes a novel and clinically feasible tool, the Mizzou Pointof- Care Assessment System (MPASS), which is comprised of multiple low-cost devices to measure kinematics, kinetics, and reaction time during functional movement tasks. In this work, MPASS is used to assess differences between 20 collegiate athletes with acute concussion diagnosis (less than 2 weeks post-concussion) and 20 sport, position, and sexmatched healthy collegiate athletes. Differences in neuromotor control are assessed during static balance, walking, reaction time, and countermovement jump tasks. Results indicate MPASS can detect neuromotor control differences between these two groups. Further, a machine learning model using MPASS outcome measures discriminated between the two groups with an accuracy of 82.5 percent. These results demonstrate promise for MPASS as a clinically feasible tool and a diagnostic asset for providing objective assessment of neuromotor control following SRC.
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Ph. D.