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Extraction of the EPP Component from the Surface EMG
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Power line interference attenuation in multi-channel sEMG signals: Algorithms and analysis.

S D H Soedirdjo, K Ullah, R Merletti

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 7, 2016
    PubMed
    Summary
    This summary is machine-generated.

    Power line interference (PLI) in electromyogram (EMG) recordings can be reduced using digital signal processing. The adaptive noise canceller with phase locked loop (ANC-PLL) method effectively minimizes PLI while preserving EMG signal shape.

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    Area of Science:

    • Biomedical Engineering
    • Signal Processing

    Background:

    • Electromyogram (EMG) signals are crucial for neuromuscular diagnostics.
    • Power line interference (PLI) frequently contaminates EMG recordings, compromising signal integrity.
    • Effective PLI attenuation is essential for accurate EMG analysis.

    Purpose of the Study:

    • To compare the efficacy of digital signal processing methods for attenuating PLI in EMG signals.
    • To evaluate the impact of different methods on EMG signal shape and quality.
    • To identify the optimal method for PLI removal in EMG recordings.

    Main Methods:

    • Simulated multichannel monopolar EMG signals with varying signal-to-interference ratios (SIR) were used.
    • Four digital signal processing techniques were analyzed: classical notch filter, spectral interpolation, adaptive noise canceller with phase locked loop (ANC-PLL), and adaptive filter.
    • The signal-to-interference ratio (SIR) of the output signals was compared for each method.

    Main Results:

    • The ANC-PLL method demonstrated the highest output SIR.
    • ANC-PLL also resulted in the lowest distortion of the original EMG signal shape.
    • Classical notch filtering, while simple, showed the lowest performance and introduced significant signal distortion.

    Conclusions:

    • The ANC-PLL method is superior for attenuating PLI in EMG signals compared to classical notch filters, spectral interpolation, and adaptive filters.
    • ANC-PLL offers a robust solution for preserving EMG signal fidelity during interference removal.
    • Accurate EMG analysis requires careful selection of signal processing techniques to mitigate PLI without degrading signal quality.