An analog integrated front-end amplifier for neural applications

Zhijun Zhou; Paul Warr

doi:10.1109/ICAM.2016.7813579

An analog integrated front-end amplifier for neural applications

Zhijun Zhou, Paul Warr

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

1 Citation (Scopus)

302 Downloads (Pure)

Abstract

The front-end amplifier forms the critical element for signal detection and pre-processing within neural monitoring systems. It determines not only the fidelity of the biosignal, but also impacts power consumption and detector size. In this paper, a combined feedback loop-controlled approach is proposed to neutralize for the input leakage currents generated by low noise amplifiers when in integrated circuit form, alongside signal leakage into the input bias network. Significantly, this loop topology ensures the front-end amplifier maintains a high input impedance across all manufacturing and operational variations. Furthermore, this feedback loop provides the amplification for the low amplitude neural signals without significant increase in power consumption or input-referred noise.

Original language	English
Title of host publication	Proceedings of 2016 IEEE International Conference on Integrated Circuits and Microsystems, ICICM 2016
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	135-139
Number of pages	5
ISBN (Electronic)	9781509028146
ISBN (Print)	9781509028139
DOIs	https://doi.org/10.1109/ICAM.2016.7813579
Publication status	Published - 16 Jan 2017
Event	2016 IEEE International Conference on Integrated Circuits and Microsystems, ICICM 2016 - Chengdu, China Duration: 23 Nov 2016 → 25 Nov 2016

Conference

Conference	2016 IEEE International Conference on Integrated Circuits and Microsystems, ICICM 2016
Country	China
City	Chengdu
Period	23/11/16 → 25/11/16

Keywords

analog integrated circuits
biomedical signal processing
CMOS technology
Low-noise amplifiers
neural recording

Access to Document

10.1109/ICAM.2016.7813579

Full-text PDF (accepted author manuscript)
This is the author accepted manuscript (AAM). The final published version (version of record) will be available online via IEEE. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 820 KB

Cite this

@inproceedings{c83ee0fe3daf49f9962d093920c5220e,

title = "An analog integrated front-end amplifier for neural applications",

abstract = "The front-end amplifier forms the critical element for signal detection and pre-processing within neural monitoring systems. It determines not only the fidelity of the biosignal, but also impacts power consumption and detector size. In this paper, a combined feedback loop-controlled approach is proposed to neutralize for the input leakage currents generated by low noise amplifiers when in integrated circuit form, alongside signal leakage into the input bias network. Significantly, this loop topology ensures the front-end amplifier maintains a high input impedance across all manufacturing and operational variations. Furthermore, this feedback loop provides the amplification for the low amplitude neural signals without significant increase in power consumption or input-referred noise.",

keywords = "analog integrated circuits, biomedical signal processing, CMOS technology, Low-noise amplifiers, neural recording",

author = "Zhijun Zhou and Paul Warr",

year = "2017",

month = jan,

day = "16",

doi = "10.1109/ICAM.2016.7813579",

language = "English",

isbn = "9781509028139",

pages = "135--139",

booktitle = "Proceedings of 2016 IEEE International Conference on Integrated Circuits and Microsystems, ICICM 2016",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2016 IEEE International Conference on Integrated Circuits and Microsystems, ICICM 2016 ; Conference date: 23-11-2016 Through 25-11-2016",

}

Zhou, Z & Warr, P 2017, An analog integrated front-end amplifier for neural applications. in Proceedings of 2016 IEEE International Conference on Integrated Circuits and Microsystems, ICICM 2016., 7813579, Institute of Electrical and Electronics Engineers (IEEE), pp. 135-139, 2016 IEEE International Conference on Integrated Circuits and Microsystems, ICICM 2016, Chengdu, China, 23/11/16. https://doi.org/10.1109/ICAM.2016.7813579

An analog integrated front-end amplifier for neural applications. / Zhou, Zhijun; Warr, Paul.

Proceedings of 2016 IEEE International Conference on Integrated Circuits and Microsystems, ICICM 2016. Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 135-139 7813579.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - An analog integrated front-end amplifier for neural applications

AU - Zhou, Zhijun

AU - Warr, Paul

PY - 2017/1/16

Y1 - 2017/1/16

N2 - The front-end amplifier forms the critical element for signal detection and pre-processing within neural monitoring systems. It determines not only the fidelity of the biosignal, but also impacts power consumption and detector size. In this paper, a combined feedback loop-controlled approach is proposed to neutralize for the input leakage currents generated by low noise amplifiers when in integrated circuit form, alongside signal leakage into the input bias network. Significantly, this loop topology ensures the front-end amplifier maintains a high input impedance across all manufacturing and operational variations. Furthermore, this feedback loop provides the amplification for the low amplitude neural signals without significant increase in power consumption or input-referred noise.

AB - The front-end amplifier forms the critical element for signal detection and pre-processing within neural monitoring systems. It determines not only the fidelity of the biosignal, but also impacts power consumption and detector size. In this paper, a combined feedback loop-controlled approach is proposed to neutralize for the input leakage currents generated by low noise amplifiers when in integrated circuit form, alongside signal leakage into the input bias network. Significantly, this loop topology ensures the front-end amplifier maintains a high input impedance across all manufacturing and operational variations. Furthermore, this feedback loop provides the amplification for the low amplitude neural signals without significant increase in power consumption or input-referred noise.

KW - analog integrated circuits

KW - biomedical signal processing

KW - CMOS technology

KW - Low-noise amplifiers

KW - neural recording

UR - http://www.scopus.com/inward/record.url?scp=85011965732&partnerID=8YFLogxK

U2 - 10.1109/ICAM.2016.7813579

DO - 10.1109/ICAM.2016.7813579

M3 - Conference Contribution (Conference Proceeding)

AN - SCOPUS:85011965732

SN - 9781509028139

SP - 135

EP - 139

BT - Proceedings of 2016 IEEE International Conference on Integrated Circuits and Microsystems, ICICM 2016

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2016 IEEE International Conference on Integrated Circuits and Microsystems, ICICM 2016

Y2 - 23 November 2016 through 25 November 2016

ER -

An analog integrated front-end amplifier for neural applications

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this