A Multi-Channel Neural Recording System with Adaptive Electrode Selection for High-Density Neural Interface

Han Sol Lee, Hangue Park, Hyung Min Lee

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

    7 Citations (Scopus)

    Abstract

    There is an increasing demand for real-time neural signal monitoring from a large number of electrode contacts to provide adequate spatial and temporal resolution for brain mapping and high-resolution neural interface. This paper proposes a novel multi-channel neural recording system that records neural signals from a large number of electrodes with a smaller number of recording channels. The system utilizes an adaptive electrode selection technique to automatically scan the electrode arrays and record from selected electrodes where neural spikes are detected. The proposed neural recording IC was fabricated in CMOS 180 nm process and tested with in vitro environments. Experiment results with pre-recorded neural data indicate that neural spikes can be separated and amplified with the proposed system and counted in real-time.

    Original languageEnglish
    Title of host publication42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society
    Subtitle of host publicationEnabling Innovative Technologies for Global Healthcare, EMBC 2020
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages4306-4309
    Number of pages4
    ISBN (Electronic)9781728119908
    DOIs
    Publication statusPublished - 2020 Jul
    Event42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 - Montreal, Canada
    Duration: 2020 Jul 202020 Jul 24

    Publication series

    NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
    Volume2020-July
    ISSN (Print)1557-170X

    Conference

    Conference42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020
    Country/TerritoryCanada
    CityMontreal
    Period20/7/2020/7/24

    ASJC Scopus subject areas

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

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