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Related Experiment Videos

Filter transient response to EEG waveforms.

S Shirakawa, J R Smith, K Azumi

    International Journal of Bio-Medical Computing
    |January 1, 1987
    PubMed
    Summary
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    Linear filters can distort electroencephalogram (EEG) waveforms. Wider filter bandwidth reduces distortion, while higher filter order increases it, even in linear phase filters.

    Area of Science:

    • Signal Processing
    • Neuroscience
    • Biomedical Engineering

    Background:

    • Electroencephalogram (EEG) waveform analysis is crucial for neurological diagnostics.
    • Linear filters are commonly used in EEG signal processing.
    • Understanding filter-induced distortions is essential for accurate EEG interpretation.

    Purpose of the Study:

    • To investigate how linear filters distort electroencephalogram (EEG) waveforms.
    • To quantify the impact of filter bandwidth and order on EEG distortion.
    • To compare distortion levels across different filter types, including linear phase filters.

    Main Methods:

    • Calculated the response of two types of linear filters to sinusoidal bursts.
    • Analyzed the effect of varying filter bandwidth and filter order.

    Related Experiment Videos

  • Evaluated the response of linear phase filters and compared them to Butterworth, Tchebychev, and elliptic filters.

    • Main Results:

    • Increased filter bandwidth was found to decrease EEG waveform distortion.
    • Higher filter order resulted in greater waveform distortion for a given bandwidth.
    • Linear phase filters exhibited less distortion compared to Butterworth, Tchebychev, and elliptic filters.

    Conclusions:

    • Filter characteristics significantly influence EEG waveform fidelity.
    • Filter bandwidth and order are critical parameters to consider in EEG analysis to minimize distortion.
    • Linear phase filters offer a potential advantage in preserving EEG waveform integrity compared to other common filter types.