A Low Noise Analog Front-end Design with an N-path Filter for Dry EEG Recording

Takumi Deguchi, Ryoya Tanaka, Shohei Kawazoe, Ryuto Fukuoka, Nobuhiko Nakano

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

    Abstract

    We introduce a low noise analog front-end(AFE) prototype design for dry EEG(electroencephalogram) recording. This AFE utilizes an N-path filter with sample and hold (S/H) circuit for hum noise reduction. For the first stage of the AFE, chopping stabilization technique is used for flicker noise reduction and the capacitive-feedback topology with pseudo resistor eliminates electrode offset with efficient area utilization. The programmable gain amplifier (PGA) at the third stage of the AFE can vary its magnification in the range of 10 to 640 times, therefore it can be adjusted to make the resolution high. These components are designed in 0.18 μ m CMOS process and we simulated and measured their characteristics.

    Original languageEnglish
    Title of host publicationISPACS 2018 - 2018 International Symposium on Intelligent Signal Processing and Communication Systems
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages523-526
    Number of pages4
    ISBN (Electronic)9781538657713
    DOIs
    Publication statusPublished - 2018 Nov
    Event2018 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2018 - Ishigaki Island, Okinawa, Japan
    Duration: 2018 Nov 272018 Nov 30

    Publication series

    NameISPACS 2018 - 2018 International Symposium on Intelligent Signal Processing and Communication Systems

    Conference

    Conference2018 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2018
    CountryJapan
    CityIshigaki Island, Okinawa
    Period18/11/2718/11/30

    Keywords

    • CMRR
    • EEG
    • N-path filter
    • analog front-end
    • chopper stabilization

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Networks and Communications
    • Computer Science Applications
    • Signal Processing

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  • Cite this

    Deguchi, T., Tanaka, R., Kawazoe, S., Fukuoka, R., & Nakano, N. (2018). A Low Noise Analog Front-end Design with an N-path Filter for Dry EEG Recording. In ISPACS 2018 - 2018 International Symposium on Intelligent Signal Processing and Communication Systems (pp. 523-526). [8923537] (ISPACS 2018 - 2018 International Symposium on Intelligent Signal Processing and Communication Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISPACS.2018.8923537