NeuroNeck

Siobhan Lee, Spencer Osborn, Coleman Farvolden, and Ryan McGillivray showcased their winning project ‘NeuroNeck’, a novel approach to training for the mobilization of spinal injuries. Through the use of sensors and algorithms, NeuroNeck provides instant feedback on the precision of neck and head movements with the aim of assisting emergency first responders and healthcare professionals. The device’s use of LEDs and gyroscopes to signal movement with remarkable accuracy marks a significant development in medical simulation.

Lee highlighted the project’s uniqueness, saying, “We were determined to create a device that filled an unmet need in the market. By focusing on a less explored aspect of medical simulation, we were able to distinguish our project from others, contributing a novel solution to the field.”

Project powerpoint available here.

Code available on GitHub.