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Related Experiment Video

Updated: Jul 8, 2025

In situ Compressive Loading and Correlative Noninvasive Imaging of the Bone-periodontal Ligament-tooth Fibrous Joint

In situ Compressive Loading and Correlative Noninvasive Imaging of the Bone-periodontal Ligament-tooth Fibrous Joint

Published on: March 7, 2014

On-field instrumented mouthguard coupling.

David Luke¹, Rebecca Kenny², Daniel Bondi²

¹School of Biomedical Engineering, The University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC V6T 2B9, Canada; Department of Mechanical Engineering, The University of British Columbia, 6250 Applied Science Ln Room 2054, Vancouver, BC V6T 1Z4, Canada.

Journal of Biomechanics

|December 10, 2023

Summary

This summary is machine-generated.

Instrumented mouthguards (iMGs) can accurately measure head acceleration events (HAE) in sports. This study found that poor iMG-skull coupling can distort HAE measurements, highlighting the need for improved sensor data validation in real-world settings.

Keywords:

Data quality Head acceleration event Instrumented mouthguards On-field coupling Proximity sensor

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Last Updated: Jul 8, 2025

In situ Compressive Loading and Correlative Noninvasive Imaging of the Bone-periodontal Ligament-tooth Fibrous Joint

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Published on: March 7, 2014

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Area of Science:

Biomechanics
Sports Medicine
Neuroscience

Background:

Instrumented mouthguards (iMGs) are used to measure head acceleration events (HAE) in sports for brain injury research.
Effective iMG-skull coupling is vital for accurate head kinematics, but this has not been studied in on-field settings.

Purpose of the Study:

To assess on-field iMG coupling using infrared proximity sensing.
To investigate how iMG coupling affects head kinematics signal characteristics during sports.

Main Methods:

Forty-two university athletes (ice hockey and rugby) wore iMGs during their seasons.
Infrared proximity sensing classified HAE recordings into coupled, decoupling, recoupling, and decoupled categories.
Coupling categories were analyzed for their effect on kinematics signal characteristics.

Main Results:

Poorly-coupled HAEs exhibited significantly higher peak angular acceleration and greater signal power in medium-high frequency bands compared to well-coupled events.
Even video-verified HAEs included poorly-coupled instances, indicating potential sensor movement independent of the skull.
iMG coupling patterns differed between men's ice hockey and women's rugby teams.

Conclusions:

Infrared proximity sensing can identify poorly-coupled HAEs in on-field settings.
Screening iMG data for coupling quality, alongside video review, can reduce sensor noise and improve HAE dataset accuracy.
This method enhances the reliability of head impact data in sports research.