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Self-reconfigurable micro-implants for cross-tissue wireless and batteryless connectivity

Mohamed R. Abdelhamid,Ruicong Chen,Joonhyuk Cho,A. Chandrakasan,Fadel M. Adib

Published 2020 in ACM/IEEE International Conference on Mobile Computing and Networking

ABSTRACT

We present the design, implementation, and evaluation of μmedIC, a fully-integrated wireless and batteryless micro-implanted sensor. The sensor powers up by harvesting energy from RF signals and communicates at near-zero power via backscatter. In contrast to prior designs which cannot operate across various in-body environments, our sensor can self-reconfigure to adapt to different tissues and channel conditions. This adaptation is made possible by two key innovations: a reprogrammable antenna that can tune its energy harvesting resonance to surrounding tissues, and a backscatter rate adaptation protocol that closes the feedback loop by tracking circuit-level sensor hints. We built our design on millimeter-sized integrated chips and flexible antenna substrates, and tested it in environments that span both in-vitro (fluids) and ex-vivo (tissues) conditions. Our evaluation demonstrates μmedIC's ability to tune its energy harvesting resonance by more than 200 MHz (i.e., adapt to different tissues) and to scale its bitrate by an order of magnitude up to 6Mbps, allowing it to support higher data rate applications (such as streaming low-res images) without sacrificing availability. This rate adaptation also allows μmedIC to scale its energy consumption by an order of magnitude down to 350 nanoWatts. These capabilities pave way for a new generation of networked micro-implants that can adapt to complex and time-varying in-body environments.

PUBLICATION RECORD

  • Publication year

    2020

  • Venue

    ACM/IEEE International Conference on Mobile Computing and Networking

  • Publication date

    2020-09-21

  • Fields of study

    Medicine, Computer Science, Engineering

  • Identifiers
    DOI 10.1145/3372224.3419216
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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