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A 15-Ch. 0.019 mm<SUP>2</SUP>/Ch. 0.43% Gain Mismatch Orthogonal Code Chopping Instrumentation Amplifier SoC for Bio-Signal Acquisition

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dc.contributor.authorPark, Jeong Hoan-
dc.contributor.authorTang, Tao-
dc.contributor.authorZhang, Lian-
dc.contributor.authorNg, Kian Ann-
dc.contributor.authorYoo, Jerald-
dc.date.accessioned2024-05-03T04:33:10Z-
dc.date.available2024-05-03T04:33:10Z-
dc.date.created2024-05-02-
dc.date.issued2019-
dc.identifier.citation2019 IEEE ASIAN SOLID-STATE CIRCUITS CONFERENCE (A-SSCC), pp.295-296-
dc.identifier.urihttps://hdl.handle.net/10371/200819-
dc.description.abstractThis paper proposes a 15-Ch. low power, small area, Orthogonal Code Chopping Instrumentation Amplifier (OCCIA). Orthogonal codes directly modulate each channel and merge into a single IA while performing dynamic offset compensation. Digitization-Before-Demodulation (DBD) transmits the combined data directly, which alleviates ripple noise, and completely removes the demodulation and TX encoding overhead from the SoC. The proposed OCCIA SoC in 0.18 mu m 1P6M CMOS achieves the lowest gain mismatch (0.43%) among recent multi-channel lAs with one of the smallest areas (0.019mm(2)/ch) while consuming 1.97 mu W/ch and low crosstalk (<-53.5dB) at 490Hz bandwidth-
dc.language영어-
dc.publisherIEEE-
dc.titleA 15-Ch. 0.019 mm2/Ch. 0.43% Gain Mismatch Orthogonal Code Chopping Instrumentation Amplifier SoC for Bio-Signal Acquisition-
dc.typeArticle-
dc.citation.journaltitle2019 IEEE ASIAN SOLID-STATE CIRCUITS CONFERENCE (A-SSCC)-
dc.identifier.wosid000569524500084-
dc.identifier.scopusid2-s2.0-85083663322-
dc.citation.endpage296-
dc.citation.startpage295-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorYoo, Jerald-
dc.type.docTypeProceedings Paper-
dc.description.journalClass1-
dc.subject.keywordAuthorBio-signal acquisition-
dc.subject.keywordAuthordemodulation-before-digitization-
dc.subject.keywordAuthorinstrumentation amplifier-
dc.subject.keywordAuthororthogonal code chopping-
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Yoo, Jerald유담
부교수
  • College of Engineering
  • Department of Electrical and Computer Engineering
Research Area Biomedical Applications, Energy-Efficient Integrated Circuits

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