A 99.5dB-DR 5kHz-BW Closed-Loop Neural-Recording IC based on Continuous-Time Dynamic-Zoom ΔΣ ADC with Automatic AFE-Gain Control

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dc.contributor.authorJung, YoonTaeko
dc.contributor.authorKweon, Soon-Jaeko
dc.contributor.authorJeon, Hyuntakko
dc.contributor.authorLee, Taejuko
dc.contributor.authorChoi, Injunko
dc.contributor.authorJeong, Kyeongwonko
dc.contributor.authorKim, Mi Kyungko
dc.contributor.authorLee, Hyunjoo Jennyko
dc.contributor.authorHa, Sohmyungko
dc.contributor.authorJe, Minkyuko
dc.date.accessioned2023-09-12T01:04:08Z-
dc.date.available2023-09-12T01:04:08Z-
dc.date.created2023-09-12-
dc.date.issued2021-11-
dc.identifier.citation2021 IEEE Asian Solid-State Circuits Conference, A-SSCC 2021-
dc.identifier.urihttp://hdl.handle.net/10203/312467-
dc.description.abstractNeural-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.languageEnglish-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleA 99.5dB-DR 5kHz-BW Closed-Loop Neural-Recording IC based on Continuous-Time Dynamic-Zoom ΔΣ ADC with Automatic AFE-Gain Control-
dc.typeConference-
dc.identifier.wosid000768220800091-
dc.identifier.scopusid2-s2.0-85123993024-
dc.type.rimsCONF-
dc.citation.publicationname2021 IEEE Asian Solid-State Circuits Conference, A-SSCC 2021-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocationBusan-
dc.identifier.doi10.1109/A-SSCC53895.2021.9634824-
dc.contributor.localauthorLee, Hyunjoo Jenny-
dc.contributor.localauthorJe, Minkyu-
dc.contributor.nonIdAuthorKweon, Soon-Jae-
dc.contributor.nonIdAuthorJeon, Hyuntak-
dc.contributor.nonIdAuthorKim, Mi Kyung-
dc.contributor.nonIdAuthorHa, Sohmyung-
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