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[Testing method of human body's current threshold for perception based on EEG analysis].

Xiaofei Wang, Lijuan Shi, Dong Li

    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
    |May 9, 2014
    PubMed
    Summary

    This study introduces an objective method for measuring electrical perception thresholds using electroencephalography (EEG) analysis. By analyzing alpha wave energy changes, it accurately determines the electrical current threshold, enhancing electrical safety testing.

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    Area of Science:

    • Electrical Engineering
    • Neuroscience
    • Biomedical Engineering

    Background:

    • Electrical safety certification is crucial for preventing electrical shock and fire hazards.
    • Leakage current testing is vital for electrical safety performance, with traditional methods relying on subjective human perception.
    • Existing methods for determining perception thresholds are influenced by psychological factors, impacting reliability.

    Purpose of the Study:

    • To establish an objective experimental system for measuring the human body's current threshold for perception.
    • To utilize electroencephalography (EEG) feature analysis for a more reliable assessment of electrical perception thresholds.
    • To improve the accuracy and objectivity of electrical safety testing by reducing subjective human sensing.

    Main Methods:

    • Developed an experimental system integrating EEG feature analysis to test current perception thresholds.
    • Employed wavelet packet analysis to detect specific EEG waves during electrical stimulation.
    • Utilized Fast Fourier Transform (FFT) for spectral analysis of alpha waves before and after electrical current exposure.

    Main Results:

    • Collected 967 data groups using the established EEG-based system.
    • Observed significant changes in alpha wave energy in approximately 97.72% of cases during electrical stimulation.
    • Demonstrated a strong correlation between EEG feature identification and human perception of electrical current.

    Conclusions:

    • EEG feature identification provides an objective method for testing the human body's current perception threshold.
    • Combining alpha wave energy changes with human sensing offers an accurate and objective measurement of perception thresholds.
    • The developed system enhances the reliability and consistency of electrical safety performance testing.