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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
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    PubMed
    Summary

    This study introduces a subject-specific method using High Order Statistics (HOS) like kurtosis and skewness to analyze High Density surface EMG (HD-sEMG) signal changes during isometric contractions. The findings reveal a consistent HOS trend across subjects as muscle force increases.

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    Area of Science:

    • Biomedical Engineering
    • Neuroscience
    • Sports Science

    Background:

    • Surface electromyography (sEMG) is crucial for assessing muscle activity.
    • High Density sEMG (HD-sEMG) offers detailed spatial information.
    • Analyzing sEMG signal characteristics, like Probability Density Function (PDF) shape, can reveal underlying physiological changes.

    Purpose of the Study:

    • To propose a subject-specific screening approach for HD-sEMG PDF shape evolution.
    • To investigate the trend of High Order Statistics (HOS) during isometric contractions.
    • To analyze Biceps Brachii activity from 0% to 50% Maximum Voluntary Contraction (MVC).

    Main Methods:

    • Utilized an 8x8 HD-sEMG grid on the Biceps Brachii during ramp isometric contractions.
    • Applied High Order Statistics (HOS), specifically kurtosis and skewness, to analyze PDF shape.
    • Selected Laplacian sEMG channels based on Signal to Noise Ratio (SNR) for high muscle activation areas.
    • Employed Principal Component Analysis (PCA) to identify trends in HOS with varying force levels.

    Main Results:

    • Identified a subject-specific screening approach for HD-sEMG.
    • Demonstrated a globally common increasing trend in HOS (kurtosis and skewness) with increasing force (0-50% MVC).
    • Observed consistent HOS trends across subjects despite individual variability.

    Conclusions:

    • The proposed HOS-based screening method effectively captures PDF shape evolution in HD-sEMG.
    • A common, increasing HOS trend exists with increasing muscle force, offering a robust biomarker.
    • This approach can standardize sEMG analysis and potentially reduce variability in experimental outcomes.