2018 AANS Annual Scientific Meeting-577. Automated Eye Tracking For Detection of Blast Brain Injury After a Natural Gas Explosion

577. Automated Eye Tracking For Detection of Blast Brain Injury After a Natural Gas Explosion

Video Transcription

Video Summary

Abdullah Bin Zahid, a research scientist at Hanover County Medical Center and University of Minnesota, discusses automated eye tracking for the detection of blast brain injury after a natural gas explosion. He explains that blast injuries are different from conventional concussions and often not visible on MRI or CT scans. To measure the impact of blast injury, eye tracking is used because of the close relationship between the brain and the eyes. Bin Zahid describes the eye tracking setup and shows how the eye movements of blast survivors differ from those without injuries. He also introduces the blast impact score (BISC) to assess severity and mentions ongoing follow-up research.

Asset Caption

Abdullah Bin Zahid (Pakistan)

Keywords

Abdullah Bin Zahid

research scientist

automated eye tracking

blast brain injury

natural gas explosion