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Energy-Efficient Power Management Interface With Adaptive HV Multimode Stimulation for Power-Sensor Integrated

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    Summary
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    This study presents an energy-efficient power management interface for patch-type healthcare devices, featuring adaptive high-voltage stimulation and efficient power conversion. The system optimizes power usage and enhances device performance for wearable health monitoring.

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    Area of Science:

    • Integrated Circuits
    • Biomedical Engineering
    • Power Electronics

    Background:

    • Patch-type healthcare devices require integrated power management and sensor readout for efficient operation.
    • Existing systems face challenges in balancing power efficiency with high-voltage stimulation needs.

    Purpose of the Study:

    • To develop an energy-efficient power management interface (PMI) for patch-type healthcare devices.
    • To enable adaptive high-voltage (HV) stimulation with integrated power management and sensor readout circuits.
    • To enhance overall system efficiency and performance for wearable health applications.

    Main Methods:

    • Proposed a multimode buck converter with adaptive mode control for efficient power supply (peak 95.6% efficiency).
    • Designed an adaptive HV stimulation system using a charge pump (CP) with adaptive output tuning for power saving.
    • Integrated battery interface circuits for state-of-charge (SOC) monitoring and a power adjustment scheme for optimal operation.

    Main Results:

    • Achieved over 90% efficiency across a wide 4-440 mA output current range.
    • Demonstrated periodic power saving through CP utilization and adaptive tuning to bio-impedance.
    • Verified SOC-based power reduction up to 28% for high-resolution, low-power operation.
    • Fabricated power-sensor integrated circuits in 0.18-μm CMOS and validated through experimental testing and a patch-type device prototype.

    Conclusions:

    • The developed PMI effectively integrates power management and HV stimulation for patch-type healthcare devices.
    • The proposed adaptive control schemes significantly improve energy efficiency and power saving.
    • Experimental validation and prototype demonstration confirm the system's feasibility and performance for wearable health applications.