A 25.2mW EEG-NIRS multimodal SoC for accurate anesthesia depth monitoring

Unsoo Ha, Jaehyuk Lee, Jihee Lee, Kwantae Kim, Minseo Kim, Taehwan Roh, Sang Sik Choi, Hoi Jun Yoo

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

    12 Citations (Scopus)

    Abstract

    There has been recent research into continuous monitoring of the quantitative anesthesia (ANES) depth level for safe surgery [1]. However, the current ANES depth monitoring approach, bispectral index (BIS) [3], uses only EEG from the frontal lobe, and it shows critical limitations in the monitoring of ANES depth such as signal distortion due to electrocautery, EMG and dried gel, and false response to the special types of anesthetic drugs [3]. Near-infrared spectroscopy (NIRS) is complementary to EEG [2], and can not only compensate for the distorted depth level, but also assess the effects of various anesthetic drugs. In spite of its importance, a unified ANES monitoring system using EEG/NIRS together has not been reported because NIRS signals have widely different dynamic ranges (10pA to 10nA), and also signal level variations from person to person and environment are not manageable without closed-loop control (CLC).

    Original languageEnglish
    Title of host publication2017 IEEE International Solid-State Circuits Conference, ISSCC 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages450-451
    Number of pages2
    Volume60
    ISBN (Electronic)9781509037575
    DOIs
    Publication statusPublished - 2017 Mar 2
    Event64th IEEE International Solid-State Circuits Conference, ISSCC 2017 - San Francisco, United States
    Duration: 2017 Feb 52017 Feb 9

    Other

    Other64th IEEE International Solid-State Circuits Conference, ISSCC 2017
    Country/TerritoryUnited States
    CitySan Francisco
    Period17/2/517/2/9

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Electrical and Electronic Engineering

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