Concussion protocols in contact sports are limited by the undetectable nature of concussions post-impact. One way to assure injuries are addressed is to know how much change in rotational acceleration the head undergoes at the time of impact. This gives medical professionals a stronger foundation to assess the risk of injury from an impact, improving diagnostic ability and decreasing players’ risk for CTE, a degenerative and fatal brain disease. This project set out to create a helmet that used sensor data in head injury criteria equations to alert a wearer to possible concussions. A helmet was equipped with force sensors, an accelerometer, a microprocessor, and a Bluetooth chip and demonstrated wireless communication of data to a database on a server. This data was filtered and analyzed with head injury criteria and communicated with a website that displays the information and sends real-time alerts when there is a risk of injury.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Devillers, Mitchell
• Olson, Adam
• Krizan, Regan
• Lee, Julie
• Smith, Amanda

Subject

• Health
• Well-Being
• Computing
• Innovation
• Industry

Publisher

• Worcester Polytechnic Institute

Identifier

• 106586
• E-project-042723-162754

Keyword

• Football
• Helmet
• Smart Wearbles
• Concussion

Advisor

• Pahlavan, Kaveh
• Ji, Songbai
• Reidinger, Zoe
• Bhatia, Mehul A.

Year

• 2023

UN Sustainable Development Goals

• 3 - Good Health and Well-being
• 9 - Industry, Innovation and Infrastructure

Date created

• 2023-04-27

Resource type

• Major Qualifying Project

Major

• Biomedical Engineering
• Mechanical Engineering
• Management

Source

• E-project-042723-162754

Rights statement

• In Copyright

Last modified

• 2023-06-14