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

Yoontae Jung; Soon Jae Kweon; Hyuntak Jeon; Taeju Lee; Injun Choi; Kyeongwon Jeong; Mi Kyung Kim; Hyunjoo Jenny Lee; Sohmyung Ha; Minkyu Je

doi:10.1109/A-SSCC53895.2021.9634824

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

Yoontae Jung, Soon Jae Kweon, Hyuntak Jeon, Taeju Lee, Injun Choi, Kyeongwon Jeong, Mi Kyung Kim, Hyunjoo Jenny Lee, Sohmyung Ha, Minkyu Je

School of Information, Communications and Electronics Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

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).

Original language	English
Title of host publication	Proceedings - A-SSCC 2021
Subtitle of host publication	IEEE Asian Solid-State Circuits Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665443500
DOIs	https://doi.org/10.1109/A-SSCC53895.2021.9634824
State	Published - 2021
Event	2021 IEEE Asian Solid-State Circuits Conference, A-SSCC 2021 - Busan, Korea, Republic of Duration: 7 Nov 2021 → 10 Nov 2021

Publication series

Name	Proceedings - A-SSCC 2021: IEEE Asian Solid-State Circuits Conference

Conference

Conference	2021 IEEE Asian Solid-State Circuits Conference, A-SSCC 2021
Country/Territory	Korea, Republic of
City	Busan
Period	7/11/21 → 10/11/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/A-SSCC53895.2021.9634824

Cite this

Jung, Y., Kweon, S. J., Jeon, H., Lee, T., Choi, I., Jeong, K., Kim, M. K., Lee, H. J., Ha, S., & Je, M. (2021). A 99.5dB-DR 5kHz-BW Closed-Loop Neural-Recording IC based on Continuous-Time Dynamic-Zoom ΔΣ ADC with Automatic AFE-Gain Control. In Proceedings - A-SSCC 2021: IEEE Asian Solid-State Circuits Conference (Proceedings - A-SSCC 2021: IEEE Asian Solid-State Circuits Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/A-SSCC53895.2021.9634824

Jung, Yoontae ; Kweon, Soon Jae ; Jeon, Hyuntak et al. / A 99.5dB-DR 5kHz-BW Closed-Loop Neural-Recording IC based on Continuous-Time Dynamic-Zoom ΔΣ ADC with Automatic AFE-Gain Control. Proceedings - A-SSCC 2021: IEEE Asian Solid-State Circuits Conference. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings - A-SSCC 2021: IEEE Asian Solid-State Circuits Conference).

@inproceedings{f24a2a4156214fa798705a9091c66a73,

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",

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).",

author = "Yoontae Jung and Kweon, {Soon Jae} and Hyuntak Jeon and Taeju Lee and Injun Choi and Kyeongwon Jeong and Kim, {Mi Kyung} and Lee, {Hyunjoo Jenny} and Sohmyung Ha and Minkyu Je",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE Asian Solid-State Circuits Conference, A-SSCC 2021 ; Conference date: 07-11-2021 Through 10-11-2021",

year = "2021",

doi = "10.1109/A-SSCC53895.2021.9634824",

language = "English",

series = "Proceedings - A-SSCC 2021: IEEE Asian Solid-State Circuits Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings - A-SSCC 2021",

address = "United States",

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Jung, Y, Kweon, SJ, Jeon, H, Lee, T, Choi, I, Jeong, K, Kim, MK, Lee, HJ, Ha, S & Je, M 2021, A 99.5dB-DR 5kHz-BW Closed-Loop Neural-Recording IC based on Continuous-Time Dynamic-Zoom ΔΣ ADC with Automatic AFE-Gain Control. in Proceedings - A-SSCC 2021: IEEE Asian Solid-State Circuits Conference. Proceedings - A-SSCC 2021: IEEE Asian Solid-State Circuits Conference, Institute of Electrical and Electronics Engineers Inc., 2021 IEEE Asian Solid-State Circuits Conference, A-SSCC 2021, Busan, Korea, Republic of, 7/11/21. https://doi.org/10.1109/A-SSCC53895.2021.9634824

A 99.5dB-DR 5kHz-BW Closed-Loop Neural-Recording IC based on Continuous-Time Dynamic-Zoom ΔΣ ADC with Automatic AFE-Gain Control. / Jung, Yoontae; Kweon, Soon Jae; Jeon, Hyuntak et al.
Proceedings - A-SSCC 2021: IEEE Asian Solid-State Circuits Conference. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings - A-SSCC 2021: IEEE Asian Solid-State Circuits Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - A 99.5dB-DR 5kHz-BW Closed-Loop Neural-Recording IC based on Continuous-Time Dynamic-Zoom ΔΣ ADC with Automatic AFE-Gain Control

AU - Jung, Yoontae

AU - Kweon, Soon Jae

AU - Jeon, Hyuntak

AU - Lee, Taeju

AU - Choi, Injun

AU - Jeong, Kyeongwon

AU - Kim, Mi Kyung

AU - Lee, Hyunjoo Jenny

AU - Ha, Sohmyung

AU - Je, Minkyu

PY - 2021

Y1 - 2021

N2 - 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).

AB - 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).

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U2 - 10.1109/A-SSCC53895.2021.9634824

DO - 10.1109/A-SSCC53895.2021.9634824

M3 - Conference contribution

AN - SCOPUS:85123993024

T3 - Proceedings - A-SSCC 2021: IEEE Asian Solid-State Circuits Conference

BT - Proceedings - A-SSCC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE Asian Solid-State Circuits Conference, A-SSCC 2021

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ER -

Jung Y, Kweon SJ, Jeon H, Lee T, Choi I, Jeong K et al. A 99.5dB-DR 5kHz-BW Closed-Loop Neural-Recording IC based on Continuous-Time Dynamic-Zoom ΔΣ ADC with Automatic AFE-Gain Control. In Proceedings - A-SSCC 2021: IEEE Asian Solid-State Circuits Conference. Institute of Electrical and Electronics Engineers Inc. 2021. (Proceedings - A-SSCC 2021: IEEE Asian Solid-State Circuits Conference). doi: 10.1109/A-SSCC53895.2021.9634824

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

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Access to Document

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