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

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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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Operation and modeling of the MOS transistor
Tsividis, Y. (1987) · Cited by 3,162
Analog VLSI and Neural Systems
Mead, C. (1989) · CaltechAUTHORS (California Institute of Technology) · Cited by 2,776
Analog Integrated Circuit Design
Carusone, A. C., Johns, D. A., & Martin, K. W. (1996) · Cited by 2,509
Analog integrated circuit design
Hurst, S. L. (1998) · Microelectronics Journal · doi:10.1016/s0026-2692(97)00051-7 · Cited by 1,734
An analytical MOS transistor model valid in all regions of operation and dedicated to low-voltage and low-current applications
Enz, C., Krummenacher, F., & Vittoz, E. A. (1995) · Analog Integrated Circuits and Signal Processing · doi:10.1007/bf01239381 · Cited by 1,272
CMOS analog integrated circuits based on weak inversion operations
Vittoz, E. A., & Fellrath, J. (1977) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.1977.1050882 · Cited by 814
A micropower low-noise monolithic instrumentation amplifier for medical purposes
Steyaert, M. S. J., & Sansen, W. M. C. (1987) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.1987.1052869 · Cited by 577
High-quality recording of bioelectric events
van Rijn, A. C. M., Peper, A., & Grimbergen, C. A. (1991) · Medical & Biological Engineering & Computing · doi:10.1007/bf02441666 · Cited by 451
High-quality recording of bioelectric events
van Rijn, A. C. M., Peper, A., & Grimbergen, C. A. (1990) · Medical & Biological Engineering & Computing · doi:10.1007/bf02441961 · Cited by 429

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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 › Electrical and Electronic 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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