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Department of Electrical Engineering and Computer Science
Integrated Nano-Systems Laboratory
2. Conference Papers
16-Channel High-CMRR Neural-Recording Amplifiers Using Common-Made-Tracking Power Supply Rails
Jang, Doojin
;
Lee, Taeju
;
Jeon, Hyuntak
;
Koh, Seoktae
;
Choi, Jaesuk
;
Lee, Junghyup
;
Je, Minkyu
Department of Electrical Engineering and Computer Science
Integrated Nano-Systems Laboratory
2. Conference Papers
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Title
16-Channel High-CMRR Neural-Recording Amplifiers Using Common-Made-Tracking Power Supply Rails
Issued Date
2018-08-16
Citation
Jang, Doojin. (2018-08-16). 16-Channel High-CMRR Neural-Recording Amplifiers Using Common-Made-Tracking Power Supply Rails. 2018 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2018. doi: 10.1109/RFIT.2018.8524035
Type
Conference Paper
ISBN
9781538659717
ISSN
0000-0000
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.
URI
http://hdl.handle.net/20.500.11750/46990
DOI
10.1109/RFIT.2018.8524035
Publisher
Institute of Electrical and Electronics Engineers Inc.
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Lee, Junghyup
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