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Ultrasonic beamforming system for interrogating multiple implantable sensors.

Dongjin Seo, Hao-Yen Tang, Jose M Carmena

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 7, 2016
    PubMed
    Summary

    This study presents an ultrasonic beamforming system for Neural Dust, enabling individual implantable sensor interrogation via backscatter. Miniaturization advances wearable chronic sensing and neuromodulation systems.

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    Area of Science:

    • Biomedical Engineering
    • Neurotechnology
    • Acoustic Engineering

    Background:

    • Neural Dust is a distributed, ultrasound-based recording platform for implantable sensors.
    • Interrogating individual sensors in a distributed network requires precise beamforming capabilities.

    Purpose of the Study:

    • To develop and characterize an ultrasonic beamforming system for Neural Dust.
    • To enable individual implantable sensor interrogation via backscatter.
    • To assess the system's efficiency and potential for miniaturization.

    Main Methods:

    • A custom ASIC-driven 7x2 PZT transducer array was used.
    • Programmable time delays focused the ultrasonic beam to a Neural Dust mote 50mm away.
    • Acoustic-to-electrical conversion efficiency and backscatter changes were measured.

    Main Results:

    • The system successfully interrogated individual Neural Dust motes via backscatter.
    • Measured acoustic-to-electrical conversion efficiency was 0.12% in water.
    • The system delivered 26.3% of power to the transducer, consuming 0.75μJ per transmit phase.

    Conclusions:

    • The developed ultrasonic beamforming system is effective for Neural Dust applications.
    • Further miniaturization holds promise for wearable, chronic sensing and neuromodulation.
    • The system's efficiency and backscatter characteristics are quantified for future development.