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Anti-Windup and Disturbance Rejection Controller Design of an Automated Oxygen Control System for Premature Infants

Xuefeng Hou, Akram Faqeeh, Tyler Shinn

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |November 17, 2018
    PubMed

    Insights

    This study introduces an automated oxygen control system for premature infants, improving oxygen saturation (SpO2) management. The novel system enhances stability and reduces unsafe SpO2 levels during clinical events.

    Area of Science:

    • Biomedical Engineering
    • Neonatal Medicine
    • Control Systems

    Background:

    • Maintaining optimal peripheral oxygen saturation (SpO2) is critical for premature infants.
    • Manual control of fraction of inspired oxygen (FiO2) is labor-intensive and prone to instability.
    • Clinical need for automated, precise oxygen delivery in neonates.

    Purpose of the Study:

    • To develop and evaluate an automated oxygen control system for premature infants.
    • To address control performance degradation during mode switching and feeding.
    • To improve SpO2 stability and minimize time outside the safe range.

    Main Methods:

    • Development of a PI control and derivative feedback (DF) based automated oxygen system.
    • Implementation of an anti-windup control strategy to prevent integral windup.
    • Integration of a disturbance observer for disturbance estimation and rejection.

    Main Results:

    • The controller with anti-windup and disturbance rejection demonstrated superior performance.
    • Achieved bumpless transfer during manual-automatic mode switching.
    • Enabled timely FiO2 decrease post-feeding and faster recovery from desaturation events.

    Conclusions:

    • The developed automated system effectively minimizes SpO2 deviations in premature infants.
    • Anti-windup and disturbance rejection strategies enhance system robustness and clinical applicability.
    • This automated controller shows significant promise for improving neonatal care.

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