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A 4×32-Channel Neural Recording System for Deep Brain Stimulation Systems
DC Field | Value | Language |
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dc.contributor.author | 장진우 | - |
dc.date.accessioned | 2023-08-09T02:44:51Z | - |
dc.date.available | 2023-08-09T02:44:51Z | - |
dc.date.issued | 2017-02 | - |
dc.identifier.issn | 1598-1657 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/195797 | - |
dc.description.abstract | In 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.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | The Institute of Electronics and Information Engineers | - |
dc.relation.isPartOf | JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | A 4×32-Channel Neural Recording System for Deep Brain Stimulation Systems | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Neurosurgery (신경외과학교실) | - |
dc.contributor.googleauthor | Susie Kim | - |
dc.contributor.googleauthor | Seung-In Na | - |
dc.contributor.googleauthor | Youngtae Yang | - |
dc.contributor.googleauthor | Hyunjong Kim | - |
dc.contributor.googleauthor | Taehoon Kim | - |
dc.contributor.googleauthor | Jun Soo Cho | - |
dc.contributor.googleauthor | Jinhyung Kim | - |
dc.contributor.googleauthor | Jin Woo Chang3 | - |
dc.contributor.googleauthor | and Suhwan Kim | - |
dc.contributor.localId | A03484 | - |
dc.relation.journalcode | J01744 | - |
dc.identifier.eissn | 2233-4866 | - |
dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07118626 | - |
dc.contributor.alternativeName | Chang, Jin Woo | - |
dc.contributor.affiliatedAuthor | 장진우 | - |
dc.citation.volume | 17 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 129 | - |
dc.citation.endPage | 140 | - |
dc.identifier.bibliographicCitation | JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE, Vol.17(1) : 129-140, 2017-02 | - |
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