Wearable technology to prevent ACL injuries and maximize performance
This project has been secured to protect intellectual property.
Login for More InformationDesign a sensorized sleeve/pant to be worn during athletic activities and a program that coverts the sensor data into usable knee flexion and valgus angles.
Project Overview
There are approximately 250,000 Anterior Cruciate Ligament (ACL) injuries a year in the United States. Female athletes are 2-8x more likely to tear their ACL than their male counterparts. While an ACL injury can involve a direct blow to the knee, 70% of these injuries are non-contact and considered preventable. If an athlete jumps and lands with their knee collapsing inward (valgus angle) by more than 8°, the ACL is at risk for injury. Likewise, if an athlete lands with knee flexion of less than 80°, the ACL is susceptible to injury. ACL injury prevention programs have been developed to improve an athlete's biomechanics and are scientifically proven to prevent injury. Unfortunately, these programs require constant athlete supervision and correction. Therefore, cost and athlete compliance limit the effectiveness of these programs.
Team Picture
Contact Information
Team Members
- Kristen Schill - Team Leader
- Ruby Salbego - Communicator
- Jacob Hawig - BSAC
- Arrington Polman - BWIG
- Katherine Konieczka - BPAG
Advisor and Client
- Prof. Paul Campagnola - Advisor
- Dr. Carter Mitchell - Client
- Jesse Darley - Alternate Contact
Related Projects
- Spring 2022: Wearable technology to prevent ACL injuries and maximize performance
- Fall 2021: Wearable technology to prevent ACL injuries and maximize performance
- Spring 2021: Wearable technology to prevent ACL injuries and maximize performance
- Fall 2020: Wearable technology to prevent ACL injuries and maximize performance
- Spring 2020: Wearable technology to prevent ACL injuries and maximize performance
- Fall 2019: Wearable technology to prevent ACL injuries and maximize performance
- Spring 2019: Wearable technology to prevent ACL injuries and maximize performance