Towards a highly-scalable wireless implantable system-on-a-chip for gastric electrophysiology

Ahmed Ibrahim, Aydin Farajidavar, Mehdi Kiani

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Scopus citations

    Abstract

    This paper presents the system design of a highlyscalable system-on-a-chip (SoC) to wirelessly and chronically detect the mechanisms underlying gastric dysrhythmias. The proposed wireless implantable gastric-wave recording (WIGR) SoC records gastric slow-wave and spike activities from 256 sites, and establishes transcutaneous data communication with an external reader while being inductively powered. The SoC is highly scalable by employing a modular architecture for the analog front-end (AFE), a near-field pulse-delay modulation (PDM) data transmitter (Tx) that its data rate is proportional to the power carrier frequency (fp), and an adaptive power management equipped with automatic-resonance tuning (ART) that dynamically compensates for environmental and fp variations of the implant power coil. The simulation and measurement results for individual blocks have been presented.

    Original languageEnglish (US)
    Title of host publication2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages2689-2692
    Number of pages4
    ISBN (Electronic)9781424492718
    DOIs
    StatePublished - Nov 4 2015
    Event37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy
    Duration: Aug 25 2015Aug 29 2015

    Publication series

    NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
    Volume2015-November
    ISSN (Print)1557-170X

    Other

    Other37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
    CountryItaly
    CityMilan
    Period8/25/158/29/15

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    All Science Journal Classification (ASJC) codes

    • Signal Processing
    • Biomedical Engineering
    • Computer Vision and Pattern Recognition
    • Health Informatics

    Cite this

    Ibrahim, A., Farajidavar, A., & Kiani, M. (2015). Towards a highly-scalable wireless implantable system-on-a-chip for gastric electrophysiology. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 (pp. 2689-2692). [7318946] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2015-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2015.7318946