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A geometrical method for modeling bioelectrical impedance measurements and remove the hook effect deviations.

C A Gonzalez-Correa, L O Tapasco-Tapasco, S A Jaimes

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 11, 2021
    PubMed
    Summary

    A new geometrical method simplifies Electrical Bioimpedance Spectroscopy (EBIS) data analysis by fitting circle parameters to complex plane data, effectively removing the hook effect artifact. This approach aids users in interpreting EBIS measurements more accurately.

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    Area of Science:

    • Biomedical Engineering
    • Electrical Engineering
    • Data Analysis

    Background:

    • Electrical Bioimpedance Spectroscopy (EBIS) is a technique used to measure biological tissue properties.
    • The complex plane plot of EBIS data often exhibits a 'hook effect,' particularly at higher frequencies, which is considered an instrumental artifact.
    • Accurate modeling of EBIS data is crucial for reliable interpretation of biological parameters.

    Purpose of the Study:

    • To present a simple geometrical method for calculating circle parameters to fit Electrical Bioimpedance Spectroscopy (EBIS) raw data.
    • To address and remove the hook effect artifact observed in EBIS complex plane plots.
    • To provide a user-friendly approach for EBIS data interpretation, especially for those less familiar with complex mathematical models.

    Main Methods:

    • A geometrical procedure is proposed to calculate circle parameters representing the beta dispersion in EBIS data.
    • The method assumes that middle-frequency EBIS data best reflects the beta dispersion.
    • Data from two different EBIS devices were utilized to validate the proposed method.

    Main Results:

    • Circle parameters for the beta dispersion can be successfully obtained using the proposed geometrical method.
    • The residuals from the hook effect correction also appear to conform to a circular pattern.
    • These residuals can potentially be parameterized using the same geometrical approach.

    Conclusions:

    • The developed method offers a straightforward way to parameterize EBIS data and correct for the hook effect.
    • This technique can enhance the understanding and interpretation of EBIS measurements for a wider range of users.
    • The geometrical approach provides a valuable tool for improving the accuracy and reliability of EBIS data analysis.