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A 4×32-Channel Neural Recording System for Deep Brain Stimulation Systems

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dc.contributor.author장진우-
dc.date.accessioned2023-08-09T02:44:51Z-
dc.date.available2023-08-09T02:44:51Z-
dc.date.issued2017-02-
dc.identifier.issn1598-1657-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/195797-
dc.description.abstractIn this paper, a 4×32-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 mm 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.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherThe Institute of Electronics and Information Engineers-
dc.relation.isPartOfJOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleA 4×32-Channel Neural Recording System for Deep Brain Stimulation Systems-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Neurosurgery (신경외과학교실)-
dc.contributor.googleauthorSusie Kim-
dc.contributor.googleauthorSeung-In Na-
dc.contributor.googleauthorYoungtae Yang-
dc.contributor.googleauthorHyunjong Kim-
dc.contributor.googleauthorTaehoon Kim-
dc.contributor.googleauthorJun Soo Cho-
dc.contributor.googleauthorJinhyung Kim-
dc.contributor.googleauthorJin Woo Chang3-
dc.contributor.googleauthorand Suhwan Kim-
dc.contributor.localIdA03484-
dc.relation.journalcodeJ01744-
dc.identifier.eissn2233-4866-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07118626-
dc.contributor.alternativeNameChang, Jin Woo-
dc.contributor.affiliatedAuthor장진우-
dc.citation.volume17-
dc.citation.number1-
dc.citation.startPage129-
dc.citation.endPage140-
dc.identifier.bibliographicCitationJOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE, Vol.17(1) : 129-140, 2017-02-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurosurgery (신경외과학교실) > 1. Journal Papers

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