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Cross-correlation evaluated muscle co-ordination for speech production
1Department of Electrical and Electronics Engineering, Graphic Era University , Dehradun , India and.
Journal of Medical Engineering & Technology
|October 19, 2013
Summary
This study quantifies jaw-mouth-lip (JML) coordination during speech using facial electromyography (EMG). The Anterior Belly of Diagastric (ABD) and Levator Labii Superioris (LLS) muscles showed the highest coordination, aiding biomedical tool design.
Area of Science:
- Biomedical Engineering
- Neuroscience
- Speech Science
Background:
- Understanding jaw-mouth-lip (JML) coordination is crucial for speech production.
- Facial electromyography (EMG) offers a method to quantify muscle activity during speech.
Purpose of the Study:
- To quantify jaw-mouth-lip (JML) coordination during the articulation of numbers zero to nine.
- To analyze the cross-correlation (CC) between facial EMG signals of key muscles involved in speech.
Main Methods:
- Collected facial EMG data from four muscles: Zygomaticus Major (ZM), Levator Labii Superioris (LLS), Orbicularis Oris Inferioris (OOI), and Anterior Belly of Diagastric (ABD).
- Calculated cross-correlation (CC) for six muscle pairs: ABD-ZM, ZM-LLS, OOI-ZM, ABD-LLS, ABD-OOI, and LLS-OOI.
- Performed statistical analysis (p<0.05) including Tukey's post-hoc test (α=0.05) to determine significant coordination levels.
Main Results:
- All six muscle pairs exhibited significantly different coordination levels during speech.
- The Anterior Belly of Diagastric (ABD) and Levator Labii Superioris (LLS) muscle pair demonstrated the highest level of cross-correlation (CC) across all spoken words.
- Significant differences in coordination were observed between various muscle pairs (p<0.05).
Conclusions:
- Jaw-mouth-lip (JML) muscle coordination during speech is quantifiable using cross-correlation of facial EMG signals.
- The ABD-LLS muscle pair shows maximal coordination, providing insights into speech motor control.
- Findings can inform the development of biomedical engineering tools, including speech prostheses and facial lie detectors.
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