Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Jang, Doojin | - |
dc.contributor.author | Lee, Taeju | - |
dc.contributor.author | Jeon, Hyuntak | - |
dc.contributor.author | Koh, Seoktae | - |
dc.contributor.author | Choi, Jaesuk | - |
dc.contributor.author | Lee, Junghyup | - |
dc.contributor.author | Je, Minkyu | - |
dc.date.accessioned | 2023-12-26T20:12:32Z | - |
dc.date.available | 2023-12-26T20:12:32Z | - |
dc.date.created | 2018-12-21 | - |
dc.date.issued | 2018-08-16 | - |
dc.identifier.isbn | 9781538659717 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/46990 | - |
dc.description.abstract | This paper presents a neural recording amplifier that operates in environments where large common-mode signals interfere. The proposed scheme employs two types of LDOs that generate isolated supply voltages and a buffer to sense a common-mode signal. Thanks to the isolated supply rails, both the intrinsic common-mode rejection ratio (ICMRR) and common-mode input impedance of the low-noise amplifier (LNA) are increased, which leads to the total common-mode rejection ratio (TCMRR) above 89.2 dB up to 1 kHz even in 16-channel recording with a shared reference electrode. Compared to the conventional method, the TCMRR is improved by 48.7 dB even for 28% mismatch of the electrode-tissue impedance (ETI) and 1% mismatch of the LNA input capacitances. © 2018 IEEE. | - |
dc.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | 16-Channel High-CMRR Neural-Recording Amplifiers Using Common-Made-Tracking Power Supply Rails | - |
dc.type | Conference Paper | - |
dc.identifier.doi | 10.1109/RFIT.2018.8524035 | - |
dc.identifier.scopusid | 2-s2.0-85057720536 | - |
dc.identifier.bibliographicCitation | 2018 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2018 | - |
dc.citation.conferencePlace | AT | - |
dc.citation.conferencePlace | Melbourne | - |
dc.citation.title | 2018 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2018 | - |
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