A Compact, Low-Power Analog Front-End With Event-Driven Input Biasing for High-Density Neural Recording in 22-nm FDSOI

Xiaohua Huang; Marco Ballini; Shiwei Wang; Beatrice Miccoli; Chris Van Hoof; Georges Gielen; Jan Craninckx; Nick Van Helleputte; Carolina Mora Lopez

doi:10.1109/TCSII.2021.3111257

A Compact, Low-Power Analog Front-End With Event-Driven Input Biasing for High-Density Neural Recording in 22-nm FDSOI

Xiaohua Huang, Marco Ballini, Shiwei Wang, Beatrice Miccoli, Chris Van Hoof, Georges Gielen, Jan Craninckx, Nick Van Helleputte, Carolina Mora Lopez

School of Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

An ultra-small-area, low-power analog front-end (AFE) for high-density neural recording is presented in this brief. It features an 11-bit incremental delta-sigma analog-to-digital converter ( ΔΣ ADC) enhanced with an offset-rejecting event-driven input biasing network. This network avoids saturation of the ADC input caused by leakage of the input-coupling capacitor implemented in an advanced technology node. Combining AC-coupling with direct data conversion, the proposed AFE can tolerate a rail-to-rail electrode offset and achieves a good trade-off between power, noise, bandwidth, input impedance, and area. Fabricated in a 22-nm fully-depleted silicon on insulator (FDSOI) process, the design occupies an active area of <0.001mm2, the smallest obtained to this date for a neural AFE, and consumes <3 μW from a 0.8-V supply. It achieves an input-referred noise of 11.3 μVrms in the action potential band (300 Hz – 10 kHz) and 10 μVrms in the local field potential band (1 Hz – 300 Hz).

Original language	Undefined/Unknown
Pages (from-to)	804-808
Number of pages	5
Journal	IEEE Transactions on Circuits and Systems II: Express Briefs
Volume	69
Issue number	3
Early online date	9 Sept 2021
DOIs	https://doi.org/10.1109/TCSII.2021.3111257
Publication status	Published - 1 Mar 2022

Keywords / Materials (for Non-textual outputs)

AC-coupling
ADC
AFE
Small area
direct data conversion
event driven
incremental
low power
multi-channel neural recording
reconstruction
reset alignment

Access to Document

10.1109/TCSII.2021.3111257

https://eprints.soton.ac.uk/451603/Licence: Other

Cite this

Huang, X., Ballini, M., Wang, S., Miccoli, B., Van Hoof, C., Gielen, G., Craninckx, J., Van Helleputte, N., & Lopez, C. M. (2022). A Compact, Low-Power Analog Front-End With Event-Driven Input Biasing for High-Density Neural Recording in 22-nm FDSOI. IEEE Transactions on Circuits and Systems II: Express Briefs, 69(3), 804-808. https://doi.org/10.1109/TCSII.2021.3111257

@article{4b4df04a0e544d3d9d9d7d6ce419aef9,

title = "A Compact, Low-Power Analog Front-End With Event-Driven Input Biasing for High-Density Neural Recording in 22-nm FDSOI",

abstract = "An ultra-small-area, low-power analog front-end (AFE) for high-density neural recording is presented in this brief. It features an 11-bit incremental delta-sigma analog-to-digital converter ( ΔΣ ADC) enhanced with an offset-rejecting event-driven input biasing network. This network avoids saturation of the ADC input caused by leakage of the input-coupling capacitor implemented in an advanced technology node. Combining AC-coupling with direct data conversion, the proposed AFE can tolerate a rail-to-rail electrode offset and achieves a good trade-off between power, noise, bandwidth, input impedance, and area. Fabricated in a 22-nm fully-depleted silicon on insulator (FDSOI) process, the design occupies an active area of <0.001mm2, the smallest obtained to this date for a neural AFE, and consumes <3 μW from a 0.8-V supply. It achieves an input-referred noise of 11.3 μVrms in the action potential band (300 Hz – 10 kHz) and 10 μVrms in the local field potential band (1 Hz – 300 Hz).",

keywords = "AC-coupling, ADC, AFE, Small area, direct data conversion, event driven, incremental, low power, multi-channel neural recording, reconstruction, reset alignment",

author = "Xiaohua Huang and Marco Ballini and Shiwei Wang and Beatrice Miccoli and \{Van Hoof\}, Chris and Georges Gielen and Jan Craninckx and \{Van Helleputte\}, Nick and Lopez, \{Carolina Mora\}",

note = "Funding Information: Received October 22, 1991; accepted in revised form June 2, 1992. Supported by a grant from G. D. Searle and Company. Presented in abstract form at the 10th Scientific Meeting of the American Society of Transplant Physicians, Chicago, IL, May 1991. Address reprint requests to Raymond Pollak, MB, FRCS, FACS, Chief, Division of Transplantation, Department of Surgery, University of Illinois at Chicago, Box 6998 (M/C 958), Chicago, IL 60680. {\textcopyright} 1992 by the National Kidney Foundation, Inc. 0272-6386/92/2004-0003\$3.00;0 Publisher Copyright: {\textcopyright} 2004-2012 IEEE.",

year = "2022",

month = mar,

day = "1",

doi = "10.1109/TCSII.2021.3111257",

language = "Undefined/Unknown",

volume = "69",

pages = "804--808",

journal = "IEEE Transactions on Circuits and Systems II: Express Briefs",

issn = "1549-7747",

publisher = "Institute of Electrical and Electronics Engineers",

number = "3",

}

Huang, X, Ballini, M, Wang, S, Miccoli, B, Van Hoof, C, Gielen, G, Craninckx, J, Van Helleputte, N & Lopez, CM 2022, 'A Compact, Low-Power Analog Front-End With Event-Driven Input Biasing for High-Density Neural Recording in 22-nm FDSOI', IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 69, no. 3, pp. 804-808. https://doi.org/10.1109/TCSII.2021.3111257

TY - JOUR

T1 - A Compact, Low-Power Analog Front-End With Event-Driven Input Biasing for High-Density Neural Recording in 22-nm FDSOI

AU - Huang, Xiaohua

AU - Ballini, Marco

AU - Wang, Shiwei

AU - Miccoli, Beatrice

AU - Van Hoof, Chris

AU - Gielen, Georges

AU - Craninckx, Jan

AU - Van Helleputte, Nick

AU - Lopez, Carolina Mora

N1 - Funding Information: Received October 22, 1991; accepted in revised form June 2, 1992. Supported by a grant from G. D. Searle and Company. Presented in abstract form at the 10th Scientific Meeting of the American Society of Transplant Physicians, Chicago, IL, May 1991. Address reprint requests to Raymond Pollak, MB, FRCS, FACS, Chief, Division of Transplantation, Department of Surgery, University of Illinois at Chicago, Box 6998 (M/C 958), Chicago, IL 60680. © 1992 by the National Kidney Foundation, Inc. 0272-6386/92/2004-0003$3.00;0 Publisher Copyright: © 2004-2012 IEEE.

PY - 2022/3/1

Y1 - 2022/3/1

N2 - An ultra-small-area, low-power analog front-end (AFE) for high-density neural recording is presented in this brief. It features an 11-bit incremental delta-sigma analog-to-digital converter ( ΔΣ ADC) enhanced with an offset-rejecting event-driven input biasing network. This network avoids saturation of the ADC input caused by leakage of the input-coupling capacitor implemented in an advanced technology node. Combining AC-coupling with direct data conversion, the proposed AFE can tolerate a rail-to-rail electrode offset and achieves a good trade-off between power, noise, bandwidth, input impedance, and area. Fabricated in a 22-nm fully-depleted silicon on insulator (FDSOI) process, the design occupies an active area of <0.001mm2, the smallest obtained to this date for a neural AFE, and consumes <3 μW from a 0.8-V supply. It achieves an input-referred noise of 11.3 μVrms in the action potential band (300 Hz – 10 kHz) and 10 μVrms in the local field potential band (1 Hz – 300 Hz).

AB - An ultra-small-area, low-power analog front-end (AFE) for high-density neural recording is presented in this brief. It features an 11-bit incremental delta-sigma analog-to-digital converter ( ΔΣ ADC) enhanced with an offset-rejecting event-driven input biasing network. This network avoids saturation of the ADC input caused by leakage of the input-coupling capacitor implemented in an advanced technology node. Combining AC-coupling with direct data conversion, the proposed AFE can tolerate a rail-to-rail electrode offset and achieves a good trade-off between power, noise, bandwidth, input impedance, and area. Fabricated in a 22-nm fully-depleted silicon on insulator (FDSOI) process, the design occupies an active area of <0.001mm2, the smallest obtained to this date for a neural AFE, and consumes <3 μW from a 0.8-V supply. It achieves an input-referred noise of 11.3 μVrms in the action potential band (300 Hz – 10 kHz) and 10 μVrms in the local field potential band (1 Hz – 300 Hz).

KW - AC-coupling

KW - ADC

KW - AFE

KW - Small area

KW - direct data conversion

KW - event driven

KW - incremental

KW - low power

KW - multi-channel neural recording

KW - reconstruction

KW - reset alignment

U2 - 10.1109/TCSII.2021.3111257

DO - 10.1109/TCSII.2021.3111257

M3 - Article

SN - 1549-7747

VL - 69

SP - 804

EP - 808

JO - IEEE Transactions on Circuits and Systems II: Express Briefs

JF - IEEE Transactions on Circuits and Systems II: Express Briefs

IS - 3

ER -