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A pilot study on the evaluation of normal phonating function based on high-density sEMG topographic maps.

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    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 25, 2017
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    Summary

    High-density surface electromyography (HD-sEMG) visualizes neck muscle activity during phonation. Muscle activity increases with pitch, suggesting HD-sEMG can help diagnose voice disorders like dysphonia.

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    Area of Science:

    • Biomechanics
    • Neurophysiology
    • Speech Science

    Background:

    • Phonation relies on complex neck muscle coordination.
    • Assessing these muscular activities is crucial for understanding phonation function and diagnosing dysphonia.
    • Previous studies used surface electromyography (sEMG) but dynamic characterization of phonation remains unclear.

    Purpose of the Study:

    • To investigate if high-density sEMG (HD-sEMG) can dynamically characterize phonating function.
    • To explore the potential of HD-sEMG in visualizing neck muscle activity during phonation across different pitches.
    • To assess the utility of HD-sEMG for diagnosing voice disorders.

    Main Methods:

    • Acquired nearly 80-channel HD-sEMG signals from four healthy subjects during /a/ phonation at various pitches.
    • Computed the root mean square (RMS) of HD-sEMG signals within segmented analysis windows.
    • Constructed dynamic sEMG topographic maps to represent muscle energy distribution.

    Main Results:

    • Dynamic sEMG topographic maps provided temporal and spatial information of neck muscle activity.
    • Muscular activity consistently increased with rising pitch levels.
    • HD-sEMG maps visualized energy distribution and coordination of muscle contractions during phonation.

    Conclusions:

    • HD-sEMG is a potential tool for visualizing muscle activity distribution and coordination during phonation.
    • This technique may aid in the screening and diagnosis of dysphonia and related pathologies.
    • Dynamic sEMG mapping offers insights into the biomechanics of voice production.