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Customized Appliance Device for Force Detection in Bruxism Individuals: An Observational Study
Matteo Pollis1, Pietro Maoddi2, Marco Letizia2
1School of Dentistry, Department of Medical Biotechnology, University of Siena, Viale Mario Bracci, 16, Siena 53100, Italy.
International Journal of Dentistry
|June 24, 2022
Summary
A new device effectively detects sleep bruxism (SB) using force sensors, comparable to EMG. Biofeedback integrated into the device significantly reduced SB events in patients.
Area of Science:
- Dental sleep medicine
- Biomedical engineering
- Neurology
Background:
- Sleep bruxism (SB) is an underdiagnosed condition characterized by involuntary jaw muscle activity during sleep.
- Current detection methods like polysomnography are resource-intensive, and patient-reported outcomes can be subjective.
- There is a need for reliable, non-invasive devices for objective SB detection and management.
Purpose of the Study:
- To evaluate a custom-designed, force-based device for detecting contact-related sleep bruxism in adults.
- To assess the efficacy of an integrated biofeedback system for reducing SB events.
Main Methods:
- Four volunteers (three with bruxism, one control) participated in sleep tests.
- Concurrent electromyographic (EMG) recording and data from the custom device were collected.
- Sleep bruxism activity was compared with and without the application of biofeedback stimuli.
Main Results:
- The force-based device accurately detected sleep bruxism events in individuals with bruxism, distinguishing them from the control.
- A strong correlation was observed between EMG signals and the custom device's readings for bruxism-related events.
- Nights utilizing the biofeedback treatment showed a significant reduction in bruxism activity.
Conclusions:
- The developed force-based device offers reliable detection of appliance-contacting sleep bruxism events, comparable to EMG.
- Integrated biofeedback stimuli effectively reduce the severity and frequency of sleep bruxism episodes.
- This technology presents a promising tool for objective diagnosis and management of sleep bruxism.

