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dc.contributor.authorMa, Yunfei
dc.contributor.authorLuo, Zhihong
dc.contributor.authorSteiger, Christoph Winfried Johannes
dc.contributor.authorTraverso, Carlo Giovanni
dc.contributor.authorAdib, Fadel
dc.date.accessioned2020-12-10T21:28:21Z
dc.date.available2020-12-10T21:28:21Z
dc.date.issued2018-08
dc.identifier.isbn9781450355674
dc.identifier.urihttps://hdl.handle.net/1721.1/128779
dc.description.abstractWe present IVN (In-Vivo Networking), a system that enables powering up and communicating with miniature sensors implanted or injected in deep tissues. IVN overcomes fundamental challenges which have prevented past systems from powering up miniature sensors beyond superficial depths. These challenges include the significant signal attenuation caused by bodily tissues and the miniature antennas of the implantable sensors. IVN's key contribution is a novel beamforming algorithm that can focus its energy toward an implantable device, despite its inability to estimate its channel or its location. We implement a multi-antenna prototype of IVN, and perform extensive evaluations via in-vitro, ex-vivo, and in-vivo tests in a pig. Our results demonstrate that it can power up and communicate with millimeter-sized sensors at over 10 cm depths in fluids, as well as battery-free tags placed in a central organ of a swine. The implications of our new beamforming technology extend beyond miniature implantables. In particular, our results demonstrate that IVN can power up off-the-shelf passive RFIDs at distances of 38 m, i.e., 7.6× larger than the operation range of the same RFIDs.en_US
dc.language.isoen
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/3230543.3230566en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleEnabling deep-tissue networking for miniature medical devicesen_US
dc.typeArticleen_US
dc.identifier.citationMa, Yunfei et al. "Enabling deep-tissue networking for miniature medical devices." Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication, August 2018, Budapest, Hungary, Association for Computing Machinery © 2018 Copyright held by the owner/author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.relation.journalProceedings of the 2018 Conference of the ACM Special Interest Group on Data Communicationen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-07-17T17:45:22Z
dspace.date.submission2019-07-17T17:45:23Z
mit.metadata.statusComplete


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