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    This study validates a new framework for analyzing biodynamic feedthrough (BDFT). The framework unifies existing approaches and predicts control device effects on BDFT phenomena.

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    Area of Science:

    • Control Engineering
    • System Dynamics
    • Biophysics

    Background:

    • Biodynamic feedthrough (BDFT) is a complex phenomenon with decades of research.
    • Lack of consensus exists regarding BDFT definitions, nomenclature, and mathematical descriptions.
    • Existing literature presents diverse approaches to BDFT analysis.

    Purpose of the Study:

    • To validate and apply a unified framework for biodynamic feedthrough analysis.
    • To establish common ground for diverse BDFT research approaches.
    • To gain new insights into BDFT phenomena.

    Main Methods:

    • Validation of the BDFT analysis framework using recent measurement data.
    • Application of the framework to predict control device dynamics effects on BDFT.
    • Reinterpretation of existing BDFT literature using the proposed framework.

    Main Results:

    • The BDFT analysis framework is validated and shown to be applicable.
    • The framework accurately predicts the influence of control device dynamics on BDFT.
    • The framework provides a unified perspective on diverse BDFT studies.

    Conclusions:

    • The presented framework offers a standardized approach to BDFT analysis.
    • The framework facilitates a deeper understanding and prediction of BDFT.
    • This work, Part II, complements Part I by detailing the framework's validation and application.