A low-power low-noise cmos for amplifier neural recording applications

Harrison, R.R.; Charles, C.

doi:10.1109/jssc.2003.811979

Cited by 1,695Analog and Mixed-Signal Circuit DesignRadio Frequency Integrated Circuit DesignLow-power high-performance VLSI design

A low-power low-noise cmos for amplifier neural recording applications

Harrison, R.R., Charles, C.·2003·IEEE Journal of Solid-State Circuits

DOI 10.1109/jssc.2003.811979

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Abstract

There is a need among scientists and clinicians for low-noise low-power biosignal amplifiers capable of amplifying signals in the millihertz-to-kilohertz range while rejecting large dc offsets generated at the electrode-tissue interface. The advent of fully implantable multielectrode arrays has created the need for fully integrated micropower amplifiers. We designed and tested a novel bioamplifier that uses a MOS-bipolar pseudoresistor element to amplify low-frequency signals down to the millihertz range while rejecting large dc offsets. We derive the theoretical noise-power tradeoff limit - the noise efficiency factor - for this amplifier and demonstrate that our VLSI implementation approaches this limit by selectively operating MOS transistors in either weak or strong inversion. The resulting amplifier, built in a standard 1.5-μm CMOS process, passes signals from 0.025Hz to 7.2 kHz with an input-referred noise of 2.2 μVrms and a power dissipation of 80 μW while consuming 0.16 mm2of chip area. Our design technique was also used to develop an electroencephalogram amplifier having a bandwidth of 30 Hz and a power dissipation of 0.9 μW while maintaining a similar noise-power tradeoff.

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A common ac-coupled bioamplifier uses capacitive feedback to accurately set the midband gain as a ratio of the input and feedback capacitors (C_I/C_F).
“A common ac-coupled bioamplifier, shown in Fig. 6(a), uses capacitive feedback to accurately set the midband gain as a ratio of the input and feedback capacitors ( C I /C F ) [168].”
From Active Neural Interface Circuits and Systems for Selective Control of Peripheral Nerves: A Review (2024) · cites this paper as [168]
In biopotential amplifier applications, necessary highly resistive values can range up to tens of MΩ.
“which can range up to tens of M Ω in biopotential amplifier applications [168].”
From Active Neural Interface Circuits and Systems for Selective Control of Peripheral Nerves: A Review (2024) · cites this paper as [168]
Discrete alternatives require large silicon area to achieve necessary high resistance values.
“It is preferable to implement highly resistive elements with transistors compared to their discrete alternatives due to the large silicon area required to achieve the necessary values”
From Active Neural Interface Circuits and Systems for Selective Control of Peripheral Nerves: A Review (2024) · cites this paper as [168]
Previous studies using either a symmetrical cascode OTA or a 2-stage Miller OTA reported NEFs ranging from 4 to 17.
“Indeed, previous studies [53, 98, 128], which used either a symmetrical cascode OTA or a 2-stage Miller OTA, reported NEFs ranging from 4 to 17.”
From Implantable neurotechnologies: a review of integrated circuit neural amplifiers (2016) · cites this paper as [53]
The most common way to record neural signals is to add a low noise amplifier (LNA) to the front end and then add digital quantization circuits.
“The most common way is to add a low noise amplifier (LNA) to the front end of the recording (Harrison and Charles, 2003; Harrison et al., 2007) and then to add the digital quantization circuits (Zou et al., 2009; Liu et al., 2017; Yu et al., 2018).”
From Advances in Neural Recording and Stimulation Integrated Circuits (2021) · cites this paper as Harrison and Charles, 2003

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Authors: Harrison, R. R., & Charles, C.
Affiliations: University of Utah (US)
Venue: IEEE Journal of Solid-State Circuits
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2003-06
Volume: 38
Issue: 6
Pages: 958-965
ISSN: 0018-9200 (ISSN-L)
DOI: 10.1109/jssc.2003.811979
OpenAlex: W2159318368
Cited by: 1,695
References: 33
Citations by year: 2026: 41 · 2025: 55 · 2024: 71 · 2023: 71 · 2022: 74 · 2021: 118 · 2020: 82 · 2019: 80 · 2018: 93 · 2017: 86 · 2016: 90 · 2015: 90 · 2014: 85 · 2013: 80 · 2012: 82
FWCI: 24.78
Type: journal article
Language: en
Open access: closed
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations: IEEE Journal of Solid-State Circuits (publishedVersion)
Topics: Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
Physical Sciences › Engineering › Electrical and Electronic Engineering › Radio Frequency Integrated Circuit Design
Physical Sciences › Engineering › Electrical and Electronic Engineering › Low-power high-performance VLSI design
Keywords: neural recording, DC offset rejection, noise efficiency factor, weak and strong inversion, VLSI design

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A low-power low-noise cmos for amplifier neural recording applications

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