Advisor Information
Dr. Adam Rosen
Presentation Type
Poster
Start Date
1-3-2019 10:45 AM
End Date
1-3-2019 12:00 PM
Abstract
Approximately 300,000 high school students experience a concussion yearly and are the third most common injury for youth football players accounting for 9.6% of all injuries. The current concussion monitoring systems are subjective and rely heavily on symptom recognition by players and coaches. Instrumented helmets fill a gap when subjective monitoring systems fail to recognize concussions. The purpose of this study is to determine the diagnostic accuracy of instrumented helmets and the effectiveness of alerting for a concussion in a youth population. Fifty-five football players from a local high school during the 2018 season who wore instrumented helmets participated. Impact data from the helmets during practices and games, exposures and concussions were tracked the entire season. Data and statistical analysis assessed the diagnostic accuracy of the instrumented helmets to detect concussions.
Diagnostic Accuracy of Instrumented Helmets to Assess Concussions in High School Football Athletics
Approximately 300,000 high school students experience a concussion yearly and are the third most common injury for youth football players accounting for 9.6% of all injuries. The current concussion monitoring systems are subjective and rely heavily on symptom recognition by players and coaches. Instrumented helmets fill a gap when subjective monitoring systems fail to recognize concussions. The purpose of this study is to determine the diagnostic accuracy of instrumented helmets and the effectiveness of alerting for a concussion in a youth population. Fifty-five football players from a local high school during the 2018 season who wore instrumented helmets participated. Impact data from the helmets during practices and games, exposures and concussions were tracked the entire season. Data and statistical analysis assessed the diagnostic accuracy of the instrumented helmets to detect concussions.