Concussion Tracking

CT2 is an application (app) developed in the Conover/Demurjian labs which is intended to monitor and provide data relating to concussions of high school student athletes with the goal of developing an outcomes-based probabilistic model for mild traumatic brain injury recovery and treatment.


Use of the app allows for the direct transfer of information from a coach, athletic trainer, or nurse to a physician.

  • This diagnostic aid provides a wealth of information that facilitates rapid care and diagnosis, contributing to well-informed return-to-learn and return-to-play decisions.
  • Additionally, the anonymized data from this application is analyzed by machine learning algorithms for patterns in symptomology that translate to outcome patterns and recovery trajectories of student athletes.
  • This will facilitate preemptive care for concussed athletes, and improve the quality and coordination of care across all healthcare providers involved in treating a concussed athlete.
Acabchuk, R.L., Sun, Y., Wolferz,, R., Eastman, M.B., Lennington, J.B., Shook, B.A., Wu, Q., Conover, J.C. 3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse. J. Vis. Exp. (99), e52328, doi:10.3791/52328 (2015). (see video above)