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

Korea Advanced Institute of Science and Technology
New York University Abu Dhabi
Korean Agency for Defense Development

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

5 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)

SDG 3 Good Health and Well-being

Access to Document

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 \textbackslash{}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 \textbackslash{}Delta \textbackslash{}Sigma ADC (CT-Zoom-ADC). By combining the AGC and CT-Zoom-ADC, the IRN performance is improved to 6.1 \textbackslash{}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",

}

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

TY - GEN

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).

UR - https://www.scopus.com/pages/publications/85123993024

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

Y2 - 7 November 2021 through 10 November 2021

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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Cite this