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Relationship between EMG features and force in orbicularis oris muscle
Summary
This study quantifies electromyography (EMG) and force in the orbicularis oris muscle. Findings suggest a third-order model with FuzzyEn can guide muscle functional training for improved outcomes.
Area of Science:
- Biomedical Engineering
- Clinical Physiology
- Rehabilitation Science
Background:
- Lip incompetence due to mouth breathing is common.
- Current muscle functional training lacks objective intensity and amplitude indicators.
- This deficiency leads to suboptimal training results.
Purpose of the Study:
- To quantify the electromyography (EMG) and force relationship in the orbicularis oris muscle.
- To enable evaluation of muscle functional training indicators using EMG signals.
- To enhance the effectiveness of orofacial muscle training.
Main Methods:
- Simultaneous recording of EMG and force signals from the orbicularis oris muscle (0-100% MVC) in 12 healthy subjects.
- Analysis of four EMG features: RMS, WAMP, SampEn, and FuzzyEn.
- Regression analysis using first-order and third-order polynomial models.
Main Results:
- High correlations were observed between EMG features and muscle force across both models.
- The third-order polynomial model demonstrated a significantly higher coefficient of determination (R2) than the linear model (p<0.001).
- FuzzyEn exhibited the highest R2 value (0.884 ± 0.059) among the analyzed EMG features.
Conclusions:
- A third-order regression model incorporating FuzzyEn from EMG signals shows promise for guiding muscle functional training.
- This approach may provide objective indicators for optimizing training intensity and amplitude.
- Improved training guidance can lead to better clinical outcomes for lip incompetence.
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