Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Lee, Taeju | - |
dc.contributor.author | Jang, Doojin. | - |
dc.contributor.author | Jung, Yoontae | - |
dc.contributor.author | Jeon, Hyuntak | - |
dc.contributor.author | Hong, Soonyoung | - |
dc.contributor.author | Han, Sungmin | - |
dc.contributor.author | Chu, Jun-Uk | - |
dc.contributor.author | Lee, Junghyup | - |
dc.contributor.author | Je, Minkyu | - |
dc.date.accessioned | 2018-08-17T04:15:08Z | - |
dc.date.available | 2018-08-17T04:15:08Z | - |
dc.date.created | 2018-08-16 | - |
dc.date.issued | 2017-10-20 | - |
dc.identifier.isbn | 9781509058037 | - |
dc.identifier.issn | 2766-4465 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/9076 | - |
dc.description.abstract | Long-term neural recording which can consistently provide good signal-to-noise ratio (SNR) performance over time is important for stable operation of neuroprosthetic systems. This paper presents an analysis for the SNR optimization in a changing environment which causes variations in the tissue-electrode impedance, Zte. Based on the analysis result, a neural recording amplifier (NRA) is developed employing the SNR optimization technique. The NRA can adaptively change its configuration for in situ SNR optimization. The SNR is improved by 4.69% to 23.33% as Zte changes from 1.59 MQ to 31.8 MQ at 1 kHz. The NRA is fabricated in a 0.18-μm standard CMOS process and operates at 1.8-V supply while consuming 1.6 μA It achieves an input-referred noise of 4.67 μVrms when integrated from 1 Hz to 10 kHz, which leads to the NEF of 2.27 and the NEF2VDD of 9.28. The frequency reponse is measured with a high-pass cutoff frequency of 1 Hz and a low-pass cutoff frequency of 10 kHz. The midband gain is set to 40 dB while occupying 0.11 mm2 of a chip area. © 2017 IEEE. | - |
dc.language | English | - |
dc.publisher | IEEE Circuits and Systems Society | - |
dc.relation.ispartof | Proceedings of IEEE Biomedical Circuits and Systems Conference | - |
dc.title | A Neural Recording Amplifier Based on Adaptive SNR Optimization Technique for Long-Term Implantation | - |
dc.type | Conference Paper | - |
dc.identifier.doi | 10.1109/BIOCAS.2017.8325150 | - |
dc.identifier.wosid | 000903671600102 | - |
dc.identifier.scopusid | 2-s2.0-85050029295 | - |
dc.identifier.bibliographicCitation | IEEE Biomedical Circuits and Systems Conference (BioCAS 2017), pp.352 - 355 | - |
dc.identifier.url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8325046 | - |
dc.citation.conferenceDate | 2017-10-19 | - |
dc.citation.conferencePlace | IT | - |
dc.citation.conferencePlace | Torino | - |
dc.citation.endPage | 355 | - |
dc.citation.startPage | 352 | - |
dc.citation.title | IEEE Biomedical Circuits and Systems Conference (BioCAS 2017) | - |
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