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Related Experiment Video

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Implantation and Control of Wireless, Battery-free Systems for Peripheral Nerve Interfacing
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A 3 mm × 3 mm Fully Integrated Wireless Power Receiver and Neural Interface System-on-Chip.

Chul Kim, Jiwoong Park, Sohmyung Ha

    IEEE Transactions on Biomedical Circuits and Systems
    |October 4, 2019
    PubMed
    Summary
    This summary is machine-generated.

    This study presents a miniaturized wireless power receiver system-on-chip for neural recording and stimulation. It achieves efficient power delivery and maintains signal integrity for advanced brain-computer interfaces.

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    Area of Science:

    • Biomedical Engineering
    • Electrical Engineering
    • Neuroscience

    Background:

    • Neural recording and stimulation require integrated, miniaturized electronic systems.
    • Wireless power transfer is crucial for implantable neural interfaces to avoid percutaneous wires.

    Purpose of the Study:

    • To develop a fully integrated wireless power receiver system-on-chip (SoC) for electrocortical neural recording and stimulation.
    • To enhance the efficiency and signal integrity of wireless power transfer for neural interfaces.

    Main Methods:

    • Designed an SoC with an embedded 16-channel electrode array and data transceiver.
    • Implemented an H-tree power and signal distribution network for RF interference rejection.
    • Utilized a multi-mode buck-boost resonant regulating rectifier (B²R³) for efficient power regulation.

    Main Results:

    • Achieved a high quality factor (up to 11) in the on-chip receiver coil at 144 MHz.
    • Demonstrated a wide input dynamic range (>11 dB) and low transient overshoot (<1 mV) with the B²R³ rectifier.
    • Attained an overall wireless power transmission system efficiency (WSE) of 3.4% for a 160 μW load at a 10 mm link distance.
    • Maintained signal integrity for analog recording and wireless data transmission.

    Conclusions:

    • The developed neural interface SoC enables efficient wireless power delivery and high-quality neural signal processing.
    • This integrated system is a significant advancement for miniaturized, implantable neural recording and stimulation devices.
    • The design addresses key challenges in RF interference rejection and power management for neural interfaces.