The DOI matches its Crossref record; 32 of the 33 references it cites were found in a registry or an index.
A low-power low-noise cmos for amplifier neural recording applications
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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In the citing paper
“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 the citing paper
“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]
In the citing paper
“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]
In the citing paper
“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]
In the citing paper
“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
Citations
Cites
The Design of CMOS Radio-Frequency Integrated Circuits
Lee, T. H. (2003) · Cambridge University Press eBooks · doi:10.1017/cbo9780511817281 · Cited by 3,497
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
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
A three-dimensional microelectrode array for chronic neural recording
Hoogerwerf, A. C., & Wise, K. D. (1994) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.335862 · Cited by 372
Single unit recording capabilities of a 100 microelectrode array
Nordhausen, C. T., Maynard, E. M., & Normann, R. A. (1996) · Brain Research · doi:10.1016/0006-8993(96)00321-6 · Cited by 358
An implantable multielectrode array with on-chip signal processing
Najafi, K., & Wise, K. D. (1986) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.1986.1052646 · Cited by 310
MOS transistors operated in the lateral bipolar mode and their application in CMOS technology
Vittoz, E. A. (1983) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.1983.1051939 · Cited by 247
Adaptive photoreceptor with wide dynamic range
Delbrück, T., & Mead, C. (2002) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.1994.409266 · Cited by 188
A 100-channel system for real time detection and storage of extracellular spike waveforms
Guillory, K. S., & Normann, R. A. (1999) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(99)00076-x · Cited by 181
Seese, T. M., Harasaki, H., Saidel, G. M., & Davies, C. R. (1998) · PubMed · Cited by 174
An implantable CMOS circuit interface for multiplexed microelectrode recording arrays
Ji, J., & Wise, K. D. (1992) · IEEE Journal of Solid-State Circuits · doi:10.1109/4.121568 · Cited by 172
A low-power, low-noise CMOS amplifier for neural recording applications
Harrison, R. R. (2003) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2002.1010674 · Cited by 155
Self-citationA Micropower CMOS-Instrumentation Amplifier
Degrauwe, M. G. R., Vittoz, E. A., & Verbauwhede, I. M. R. (1985) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.1985.1052386 · Cited by 126
A CMOS IC for portable EEG acquisition systems
Martins, R. E., Selberherr, S., & Vaz, F. (1998) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/19.746581 · Cited by 122
A CMOS IC for portable EEG acquisition systems
Martins, R. E., Selberherr, S., & Vaz, F. (2002) · doi:10.1109/imtc.1998.676985 · Cited by 121
1/f Noise in CMOS transistors for analog applications from subthreshold to saturation
Jakobson, C. G., Bloom, I., & Nemirovsky, Y. (1998) · Solid-State Electronics · doi:10.1016/s0038-1101(98)00162-2 · Cited by 108
Pancrazio, J. J., Bey, P., Loloee, A., Manne, S., Chao, H.-C., Howard, L. L., Gosney, W., Borkholder, D. A., Kovacs, G. T. A., Manos, P., et al. (1998) · Biosensors & bioelectronics · doi:10.1016/s0956-5663(98)00006-2 · Cited by 78
Silicon neural recording arrays with on-chip electronics for in-vivo data acquisition
Olsson, R. H., Gulari, M. N., & Wise, K. D. (2003) · International IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology (MMB) · doi:10.1109/mmb.2002.1002321 · Cited by 56
Micropower high-performance SC building block for integrated low-level signal processing
Peteghem, P. M. V., Verbauwhede, I. M. R., & Sansen, W. (1985) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.1985.1052397 · Cited by 41
A new dc baseline stabilization scheme for neural recording microprobes
Chandran, A., Najafi, K., & Wise, K. D. (2003) · doi:10.1109/iembs.1999.802463 · Cited by 39
A monolithic signal processor for a neurophysiological telemetry system
DORMAN, M. G., PRISBE, M., & MEINDL, J. D. (1985) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.1985.1052457 · Cited by 36
Mohseni, P., & Najafi, K. (2002) · doi:10.1109/iembs.2002.1053193 · Cited by 33
A multi channel chopper modulated neural recording system
Dağtekin, M., Liu, W., & Bashirullah, R. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2001.1019051 · Cited by 26
Introduction to Bioinstrumentation
Ferris, C. D. (1979) · Humana Press eBooks · doi:10.1007/978-1-4612-6234-3 · Cited by 26
Low-noise monolithic amplifier design: Bipolar versus CMOS
Steyaert, M. S. J., Chang, Z. Y., & Sansen, W. (1991) · Analog Integrated Circuits and Signal Processing · doi:10.1007/bf02151022 · Cited by 19
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1 of the 33 references couldn’t be matched to a known paper.
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- Dagtekin, A multichannel chopper modulated neural recording system, 757
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A low-power integrated circuit for a wireless 100-electrode neural recording system.
Harrison, R. R., Watkins, P. T., Kier, R. J., Lovejoy, R. O., Black, D. J., Greger, B., & Solzbacher, F. (2007) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2006.886567 · Cited by 782
Self-citationA Low-Power Integrated Circuit for a Wireless 100-Electrode Neural Recording System
Harrison, R. R., Watkins, P., Kier, R. J., Lovejoy, R. O., Black, D., Normann, R. A., & Solzbacher, F. (2006) · Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference · doi:10.1109/isscc.2006.1696288 · Cited by 728
Self-citationOpen Ephys: an open-source, plugin-based platform for multichannel electrophysiology
Siegle, J. H., Cuevas-López, A., Patel, Y., Abramov, K., Ohayon, S., & Voigts, J. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa5eea · Cited by 552
Verma, N., Shoeb, A. H., Bohorquez, J. L., Dawson, J. L., Guttag, J. V., & Chandrakasan, A. P. (2010) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2010.2042245 · Cited by 528
Fan, Q., Sebastiano, F., Huijsing, J. H., & Makinwa, K. A. A. (2011) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2011.2143610 · Cited by 475
Metadata
- Authors
- Harrison, R. R., & Charles, C.
- Affiliations
- University of Utah (US)
- Venue
- IEEE Journal of Solid-State Circuits
- Published
- 2003-06
- Volume
- 38
- Issue
- 6
- Pages
- 958-965
- ISSN
- 0018-9200 (ISSN-L)
- 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
- 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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