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A Spatially Diverse 2TX-3RX Galvanic-Coupled Transdural Telemetry for Tether-Less Distributed Brain-Computer

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    A novel transdural telemetry system for brain-computer interfaces uses spatial diversity to overcome misalignment and interference. This system enables high-capacity, distributed neural networks with minimal invasiveness.

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    Area of Science:

    • Biomedical Engineering
    • Neuroscience
    • Electrical Engineering

    Background:

    • Intracortical brain-computer interfaces (BCIs) require robust wireless telemetry for reliable data transmission.
    • Challenges include signal attenuation, misalignment between implants and external components, and interference in multi-implant systems.

    Purpose of the Study:

    • To present a near-field galvanic coupled transdural telemetry application-specific integrated circuit (ASIC) for advanced BCIs.
    • To enhance signal integrity and data capacity in distributed neural networks.

    Main Methods:

    • Developed a 2-transmitter, 3-receiver (2TX-3RX) topology utilizing spatial diversity.
    • Implemented near-field galvanic coupling for transdural communication.
    • Characterized the system ex-vivo using 7-mm thick porcine tissue.

    Main Results:

    • Achieved 13 dB path loss recovery in worst-case blind spots due to spatial diversity.
    • Maintained a 12 dB signal-to-interference ratio with adjacent nodes 8 mm away.
    • Demonstrated a 270 Mbps data rate with a bit error rate (BER) < 10-6.
    • Achieved high energy efficiency (3.4-3.7 pJ/b) with low power consumption (0.33 mW/channel).

    Conclusions:

    • The proposed transdural telemetry system effectively mitigates misalignment and interference, crucial for reliable BCIs.
    • Spatial diversity enables high-capacity, distributed multi-implant networks with reduced invasiveness.
    • The system's performance is validated ex-vivo, paving the way for clinical translation.