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A 4×32-channel neural recording system for deep brain stimulation systems

DC Field Value Language
dc.contributor.authorKim, Susie-
dc.contributor.authorNa, Seung-In-
dc.contributor.authorYang, Youngtae-
dc.contributor.authorKim, Hyunjong-
dc.contributor.authorKim, Taehoon-
dc.contributor.authorCho, Jun Soo-
dc.contributor.authorKim, Jinhyung-
dc.contributor.authorChang, Jin Woo-
dc.contributor.authorKim, Suhwan-
dc.creator김수환-
dc.date.accessioned2018-01-24T06:01:04Z-
dc.date.available2020-04-05T06:01:04Z-
dc.date.created2018-08-08-
dc.date.created2018-08-08-
dc.date.issued2017-02-
dc.identifier.citationJournal of Semiconductor Technology and Science, Vol.17 No.1, pp.129-140-
dc.identifier.issn1598-1657-
dc.identifier.urihttps://hdl.handle.net/10371/139108-
dc.description.abstractIn this paper, a 4x32-channel neural recording system capable of acquiring neural signals is introduced. Four 32-channel neural recording ICs, complex programmable logic devices (CPLDs), a micro controller unit (MCU) with USB interface, and a PC are used. Each neural recording IC, implemented in 0.18 mu m CMOS technology, includes 32 channels of analog front-ends (AFEs), a 32-to-1 analog multiplexer, and an analog-to-digital converter (ADC). The midband gain of the AFE is adjustable in four steps, and have a tunable bandwidth. The AFE has a mid-band gain of 54.5 dB to 65.7 dB and a bandwidth of 35.3 Hz to 5.8 kHz. The high-pass cutoff frequency of the AFE varies from 18.6 Hz to 154.7 Hz. The input-referred noise (IRN) of the AFE is 10.2 mVrms. A high-resolution, low-power ADC with a high conversion speed achieves a signal-to-noise and distortion ratio (SNDR) of 50.63 dB and a spurious-free dynamic range (SFDR) of 63.88 dB, at a sampling-rate of 2.5 MS/s. The effectiveness of our neural recording system is validated in in-vivo recording of the primary somatosensory cortex of a rat.-
dc.language영어-
dc.language.isoenen
dc.publisher대한전자공학회-
dc.titleA 4×32-channel neural recording system for deep brain stimulation systems-
dc.typeArticle-
dc.identifier.doi10.5573/JSTS.2017.17.1.129-
dc.citation.journaltitleJournal of Semiconductor Technology and Science-
dc.identifier.wosid000397303700017-
dc.identifier.scopusid2-s2.0-85014779249-
dc.description.srndOAIID:RECH_ACHV_DSTSH_NO:T201707353-
dc.description.srndRECH_ACHV_FG:RR00200001-
dc.description.srndADJUST_YN:-
dc.description.srndEMP_ID:A077634-
dc.description.srndCITE_RATE:.515-
dc.description.srndFILENAME:A 4×32-Channel Neural Recording System for Deep Brain Stimulation Systems.pdf-
dc.description.srndDEPT_NM:전기·정보공학부-
dc.description.srndEMAIL:suhwan@snu.ac.kr-
dc.description.srndSCOPUS_YN:Y-
dc.description.srndFILEURL:https://srnd.snu.ac.kr/eXrepEIR/fws/file/4f9d71d3-0f39-46ac-a219-aeb6b458cd70/link-
dc.citation.endpage140-
dc.citation.number1-
dc.citation.startpage129-
dc.citation.volume17-
dc.identifier.kciidART002199975-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorKim, Suhwan-
dc.identifier.srndT201707353-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.subject.keywordPlusPARKINSONS-DISEASE-
dc.subject.keywordPlusCMOS-
dc.subject.keywordPlusINTERFACE-
dc.subject.keywordPlusCALIBRATION-
dc.subject.keywordPlusBANDWIDTH-
dc.subject.keywordPlusCIRCUITS-
dc.subject.keywordAuthorAnalog front-end (AFE)-
dc.subject.keywordAuthoranalog-to-digital converter (ADC)-
dc.subject.keywordAuthoraction potential (AP)-
dc.subject.keywordAuthor4x32-channel-
dc.subject.keywordAuthorneural recording system-
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