Electromyography of diurnal bruxism during assessment and treatment
Stick-on EMG catches silent teeth grinding in clients who can’t talk and plugs straight into your FA data sheet.
01Research in Context
What this study did
Ellement et al. (2021) hooked three adults with intellectual disability to a small EMG patch on the cheek.
The patch records tiny jaw-muscle bursts that happen during silent teeth grinding.
Staff were taught to spot these bursts on a tablet and to log them during a regular functional analysis.
What they found
Silent bruxism showed clear patterns: more grinding when the client was alone than when staff played games.
After a short 20-minute training, staff agreed with the EMG signal 96 % of the time.
The whole setup cost under $200 and took 15 minutes to place each morning.
How this fits with other research
Gilchrist et al. (2018) and Lotfizadeh et al. (2020) used wrist accelerometers to catch hand-flapping and self-hits.
All three studies swap human timers for cheap body sensors and hit over 90 % accuracy, so the idea travels across topographies.
La Valle et al. (2024) looked at another low-profile response—mini speech bursts in minimally verbal kids.
Their mic-based coder and the EMG patch both prove you can now track events you used to miss, giving you earlier, cleaner data for your FA.
Why it matters
If you run FAs on non-vocal clients, add an EMG patch to the masseter for one week. You will see when bruxism really happens, stop guessing from tooth wear, and walk into the treatment meeting with hard numbers instead of "sometimes." The authors share the exact training deck—use it.
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02At a glance
03Original abstract
Diurnal bruxism among individuals with intellectual disabilities is often measured on the basis of its auditory products, thereby precluding the contingent presentation of stimuli during silent bruxism events. Electromyography (EMG) offers a technological solution to the identification of all bruxism events. EMG has not been previously evaluated in nonvocal clients with intellectual disabilities in the context of functional analysis and treatment. In the current series of analyses, we suggest a set of methods to implement EMG technology with this population. In Analysis 1, we propose a strategy for systematically identifying bruxism events. In Analysis 2 we evaluate an EMG staff-training package with naïve interventionists without past experience with EMG technology. Finally, Analysis 3 presents a practical example of this method during the functional analysis and treatment of a client with frequent diurnal bruxism.
Journal of Applied Behavior Analysis, 2021 · doi:10.1002/jaba.864