DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jung, YoonTae | ko |
dc.contributor.author | Kweon, Soon-Jae | ko |
dc.contributor.author | Jeon, Hyuntak | ko |
dc.contributor.author | Lee, Taeju | ko |
dc.contributor.author | Choi, Injun | ko |
dc.contributor.author | Jeong, Kyeongwon | ko |
dc.contributor.author | Kim, Mi Kyung | ko |
dc.contributor.author | Lee, Hyunjoo Jenny | ko |
dc.contributor.author | Ha, Sohmyung | ko |
dc.contributor.author | Je, Minkyu | ko |
dc.date.accessioned | 2023-09-12T01:04:08Z | - |
dc.date.available | 2023-09-12T01:04:08Z | - |
dc.date.created | 2023-09-12 | - |
dc.date.issued | 2021-11 | - |
dc.identifier.citation | 2021 IEEE Asian Solid-State Circuits Conference, A-SSCC 2021 | - |
dc.identifier.uri | http://hdl.handle.net/10203/312467 | - |
dc.description.abstract | Neural-recording ICs have been a key tool to unravel the mystery of the human brain and find treatments for various neurological diseases. Since neural signals inherently have a small amplitude and suffer from environmental interferences, conventional neural recording circuits have been mainly designed for low noise, high CMRR, and low power, using the structure with a high-gain amplifier and a low-resolution ADC [1] (Fig. 1). With the advent of closed-loop neurotherapeutics, stimulation artifacts have been a notorious obstacle in neural recording. To tackle this issue, a direct-conversion structure has been widely used due to its wide dynamic range [3] -[7]. However, the structure could not meet the bandwidth (BW) requirement of 5kHz and the input-referred noise (IRN) requirement of 7 \mu V{rms} simultaneously. In this paper, we present a closed-loop neural-recording IC using an adaptive automatic gain controller (AGC) and continuous-time dynamic-zoom \Delta \Sigma ADC (CT-Zoom-ADC). By combining the AGC and CT-Zoom-ADC, the IRN performance is improved to 6.1 \mu V{rms} at 5kHz BW, and the saturation issue of the conventional amplifier-based recording structure is alleviated. Also, the recording IC can rapidly recover the signal from transient artifacts thanks to the digital auto-ranging block (DAR). | - |
dc.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | A 99.5dB-DR 5kHz-BW Closed-Loop Neural-Recording IC based on Continuous-Time Dynamic-Zoom ΔΣ ADC with Automatic AFE-Gain Control | - |
dc.type | Conference | - |
dc.identifier.wosid | 000768220800091 | - |
dc.identifier.scopusid | 2-s2.0-85123993024 | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 2021 IEEE Asian Solid-State Circuits Conference, A-SSCC 2021 | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | Busan | - |
dc.identifier.doi | 10.1109/A-SSCC53895.2021.9634824 | - |
dc.contributor.localauthor | Lee, Hyunjoo Jenny | - |
dc.contributor.localauthor | Je, Minkyu | - |
dc.contributor.nonIdAuthor | Kweon, Soon-Jae | - |
dc.contributor.nonIdAuthor | Jeon, Hyuntak | - |
dc.contributor.nonIdAuthor | Kim, Mi Kyung | - |
dc.contributor.nonIdAuthor | Ha, Sohmyung | - |
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