Energy Efficient Low-Noise Neural Recording Amplifier With Enhanced Noise Efficiency Factor
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This paper presents a neural recording amplifier array suitable for large-scale integration with multielectrode arrays in very low-power microelectronic cortical implants. The proposed amplifier is one of the most energy-efficient structures reported to date, which theoretically achieves an effective noise efficiency factor (NEF) smaller than the limit that can be achieved by any existing amplifier topology, which utilizes a differential pair input stage. The proposed architecture, which is referred to as a partial operational transconductance amplifier sharing architecture, results in a significant reduction of power dissipation as well as silicon area, in addition to the very low NEF. The effect of mismatch on crosstalk between channels and the tradeoff between noise and crosstalk are theoretically analyzed. Moreover, a mathematical model of the nonlinearity of the amplifier is derived, and its accuracy is confirmed by simulations and measurements. For an array of four neural amplifiers, measurement results show a midband gain of 39.4 dB and a -3-dB bandwidth ranging from 10 Hz to 7.2 kHz. The input-referred noise integrated from 10 Hz to 100 kHz is measured at 3.5 μVrms and the power consumption is 7.92 μW from a 1.8-V supply, which corresponds to NEF = 3.35. The worst-case crosstalk and common-mode rejection ratio within the desired bandwidth are - 43.5 dB and 70.1 dB, respectively, and the active silicon area of each amplifier is 256 μm × 256 μm in 0.18-μm complementary metal-oxide semiconductor technology.
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Majidzadeh et al. demonstrated sharing the reference branch of one front-end amplifier among multiple channels.
“A recent work by Majidzadeh et al. [78] demonstrated how to share the reference branch of one front-end amplifier among multiple channels.”
From Implantable neurotechnologies: a review of integrated circuit neural amplifiers (2016) · cites this paper as [78]
Recent studies have attempted to reduce silicon area by using smaller unit capacitors or by reducing amplifier gain.
“Recent studies have attempted to reduce the silicon area by using smaller unit capacitors or reducing the amplifier gain [77, 78].”
From Implantable neurotechnologies: a review of integrated circuit neural amplifiers (2016) · cites this paper as [78]
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Ramshur, J. T., Morshed, B. I., Curry, A. L. D. J., & Waters, R. S. (2019) · BMC Biomedical Engineering · doi:10.1186/s42490-019-0019-7 · Cited by 6 · see citing works
A 1V low-power low-noise biopotential amplifier based on flipped voltage follower
Farouk, T., Elkhatib, M., & Dessouky, M. A. (2015) · IEEE International Conference on Electronics, Circuits and Systems (ICECS) · doi:10.1109/icecs.2015.7440373 · Cited by 6 · see citing works
Ultra-Low Power Application-Specific Integrated Circuits for Sensing
Kassanos, P., Ip, H., & Yang, G. (2018) · Springer eBooks · doi:10.1007/978-3-319-69748-2_5 · Cited by 6 · see citing works
Facile Deep Brain Electrode Coating with MXene for Improved Electrode Performance
Kondrataviciute, L., Valiante, T. A., Milosevic, L., Kalia, L. V., Kim, D. W., & Kalia, S. K. (2025) · Advanced Healthcare Materials · doi:10.1002/adhm.202501169 · Cited by 5 · see citing works
A CMOS frontend chip for implantable neural recording with wide voltage supply range
Liu, J., Zhang, X., Hu, X., Guo, Y., Li, P., Liu, M., Li, B., & Chen, H. (2015) · Journal of Semiconductors · doi:10.1088/1674-4926/36/10/105003 · Cited by 5 · see citing works
A novel compressive sensing architecture for high-density biological signal recording
Shoaran, M., Afshari, H., & Schmid, A. (2014) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2014.6981633 · Cited by 5 · see citing works
Self-citationIn Vitro Study of Artifact-Recovery Using a 32-Channel Neuromodulator Platform
Reich, S., Fritschi, D., Sporer, M., & Ortmanns, M. (2023) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2023.3255549 · Cited by 5 · see citing works
Design of low noise amplifier for sensor applications
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Compact, Programmable, Two-Stage Configuration for Implantable Biopotential Recording Amplifiers
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A low-noise fully differential recycling folded cascode neural amplifier
Cerida, S., Raygada, E., Silva, C., & Monge, M. (2015) · IEEE Latin American Symposium on Circuits and Systems (LASCAS) · doi:10.1109/lascas.2015.7250497 · Cited by 4 · see citing works
A low-power current-reuse dual-band analog front-end for multi-channel neural signal recording
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A low-noise gain-tunable amplifier for large array biopotential recording systems
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Continuous-time micropower interface for neural recording applications
Elia, M., Leene, L. B., & Constandinou, T. G. (2016) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2016.7527295 · Cited by 3 · see citing works
Demonstration of a fully differential VGA chip with small THD for ECG acquisition system
Xiao, G., Qin, Y., Xu, W., Wei, B., Duan, J., & Wei, X. (2015) · Journal of Semiconductors · doi:10.1088/1674-4926/36/10/105005 · Cited by 3 · see citing works
- Authors
- Majidzadeh, V., Schmid, A., & Leblebici, Y.
- Affiliations
- École Polytechnique Fédérale de Lausanne (CH)
- ORCID
- Schmid, Alexandre
- Venue
- IEEE Transactions on Biomedical Circuits and Systems
- Published
- 2011-06
- Volume
- 5
- Issue
- 3
- Pages
- 262-271
- ISSN
- 1932-4545 (ISSN-L)
- 1940-9990
- OpenAlex
- W2164282321
- Cited by
- 165
- References
- 16
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 7 · 2023: 4 · 2022: 9 · 2021: 8 · 2020: 8 · 2019: 15 · 2018: 13 · 2017: 13 · 2016: 15 · 2015: 21 · 2014: 19 · 2013: 13 · 2012: 12
- FWCI
- 9.09
- Type
- journal article
- Language
- en
- Open access
- green
- infoscience.epfl.ch
- Locations
- IEEE Transactions on Biomedical Circuits and Systems (publishedVersion)
- PubMed (publishedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Radio Frequency Integrated Circuit Design
- Keywords
- noise efficiency factor, low-power amplifier, microelectrode arrays, cortical implants, crosstalk, common-mode rejection ratio, amplifier nonlinearity, input-referred noise, energy efficiency
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