Consensus Head Acceleration Measurement Practices (CHAMP)
The Consensus Head Acceleration Measurement Practices (CHAMP) group was founded to develop and recommend best practices for the collection, analysis, and reporting of head acceleration measurement data in sport. CHAMP workgroups and key stakeholders convened both in-person and virtually at a consensus conference held in Philadelphia on March 24-25, 2022. CIRP researcher, Declan Patton PhD, and CIRP PhD candidate, Colin Huber, served on several of the workgroups with Kristy Arbogast, PhD, CIRP and Minds Matter Co-Director, in a leadership role.
The conference prioritized six areas of focus:
Study design and statistical analysis in studies of head acceleration measurement
Laboratory validation of wearable head kinematic devices
On-field validation and use of wearable head kinematic devices
Video analysis of head acceleration events
Physical reconstruction of head acceleration events
Computational modeling of head acceleration events.
Work groups were led by experts in the field, who recruited members to their work group for each focus area. These groups drafted consensus statements that outline currently recommended best practices for many aspects of head acceleration measurement. All attendees at the conference participated in an open scientific discussion of the key concepts and then formally voted on each consensus statement.
Products from this convening include reporting checklists that align with technical manuscripts submitted to and published in Annals of Biomedical Engineering. The checklists can be referred to as “CHAMP 2022 Reporting Guidelines” and provide elements necessary for transparent reporting in peer-reviewed literature for studies using these methods. More details provided in the following publications.
- Select CHAMP Research Publications
Consensus Head Acceleration Measurement Practices (CHAMP): Origins, Methods, Transparency and Disclosure
Best Practices for Conducting Physical Reconstructions of Head Impacts in Sport
Use of Brain Biomechanical Models for Monitoring Impact Exposure in Contact Sports