A Low Noise Amplifier for Neural Spike Recording Interfaces
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This paper presents a Low Noise Amplifier (LNA) for neural spike recording applications. The proposed topology, based on a capacitive feedback network using a two-stage OTA, efficiently solves the triple trade-off between power, area and noise. Additionally, this work introduces a novel transistor-level synthesis methodology for LNAs tailored for the minimization of their noise efficiency factor under area and noise constraints. The proposed LNA has been implemented in a 130 nm CMOS technology and occupies 0.053 mm-sq. Experimental results show that the LNA offers a noise efficiency factor of 2.16 and an input referred noise of 3.8 μVrms for 1.2 V power supply. It provides a gain of 46 dB over a nominal bandwidth of 192 Hz–7.4 kHz and consumes 1.92 μW. The performance of the proposed LNA has been validated through in vivo experiments with animal models.
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A common element of integrated recording systems is an operational transconductance amplifier (OTA), used as the active amplifying element and can be implemented using a variety of techniques.
“A common element of integrated recording systems is an operational transconductance amplifier (OTA), used as the active amplifying element and can be implemented using a variety of techniques [157], [167].”
From Active Neural Interface Circuits and Systems for Selective Control of Peripheral Nerves: A Review (2024) · cites this paper as [167]
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Cites
Neuronal ensemble control of prosthetic devices by a human with tetraplegia
Hochberg, L. R., Serruya, M. D., Friehs, G. M., Mukand, J. A., Saleh, M., Caplan, A. H., Branner, A., Chen, D., Penn, R. D., & Donoghue, J. P. (2006) · Nature · doi:10.1038/nature04970 · Cited by 3,295 · see citing works
Brain–machine interfaces: past, present and future
Lebedev, M. A., & Nicolelis, M. A. L. (2006) · Trends in Neurosciences · doi:10.1016/j.tins.2006.07.004 · Cited by 1,875 · see citing works
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 · Cited by 1,695 · see citing works
Enz, C., Krummenacher, F., & Vittoz, E. A. (1995) · Analog Integrated Circuits and Signal Processing · doi:10.1007/bf01239381 · Cited by 1,234 · see citing works
Brain-Controlled Interfaces: Movement Restoration with Neural Prosthetics
Schwartz, A. B., Cui, X. T., Weber, D. J., & Moran, D. W. (2006) · Neuron · doi:10.1016/j.neuron.2006.09.019 · Cited by 792 · see citing works
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 · see citing works
A 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 731 · see citing works
Impedance Characterization and Modeling of Electrodes for Biomedical Applications
Franks, W., Schenker, I., Schmutz, P., & Hierlemann, A. R. (2005) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2005.847523 · Cited by 660 · see citing works
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 · see citing works
An Energy-Efficient Micropower Neural Recording Amplifier
Wattanapanitch, W., Fee, M., & Sarpeshkar, R. (2007) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2007.907868 · Cited by 441 · see citing works
A 1-V 450-nW fully integrated programmable biomedical sensor interface chip.
Zou, X., Xu, X., Yao, L., & Lian, Y. (2009) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2009.2014707 · Cited by 414 · see citing works
A 128-Channel 6 mW Wireless Neural Recording IC With Spike Feature Extraction and UWB Transmitter
Chae, M. S., Yang, Z., Yuce, M. R., Hoang, L., & Liu, W. (2009) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2021607 · Cited by 369 · see citing works
Muller, R., Gambini, S., & Rabaey, J. M. (2012) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2011.2163552 · Cited by 338 · see citing works
The Design of Integrated Circuits to Observe Brain Activity
Harrison, R. R. (2008) · Proceedings of the IEEE · doi:10.1109/jproc.2008.922581 · Cited by 330 · see citing works
Toward a comparison of microelectrodes for acute and chronic recordings
Ward, M. P., Rajdev, P., Ellison, C., & Irazoqui, P. P. (2009) · Brain Research · doi:10.1016/j.brainres.2009.05.052 · Cited by 296 · see citing works
An Implantable 455-Active-Electrode 52-Channel CMOS Neural Probe
Lopez, C. M., Andrei, A., Mitra, S., Welkenhuysen, M., Eberle, W., Bartic, C., Puers, R., Yazicioglu, R. F., & Gielen, G. G. E. (2014) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2013.2284347 · Cited by 264 · see citing works
The 128-Channel Fully Differential Digital Integrated Neural Recording and Stimulation Interface
Shahrokhi, F., Abdelhalim, K., Serletis, D., Carlen, P. L., & Genov, R. (2010) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2010.2041350 · Cited by 263 · see citing works
Design of Ultra-Low Power Biopotential Amplifiers for Biosignal Acquisition Applications
Zhang, F., Holleman, J. H., & Otis, B. P. (2012) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2011.2177089 · Cited by 237 · see citing works
Lee, S. B., Lee, H.-M., Kiani, M., Jow, U.-M., & Ghovanloo, M. (2010) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2010.2078814 · Cited by 220 · see citing works
An Implantable 64-Channel Wireless Microsystem for Single-Unit Neural Recording
Sodagar, A. M., Perlin, G. E., Yao, Y., Najafi, K., & Wise, K. D. (2009) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2009.2023159 · Cited by 218 · see citing works
Single-unit neural recording with active microelectrode arrays
Bai, Q., & Wise, K. D. (2001) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.936367 · Cited by 214 · see citing works
A Mixed-Signal Multichip Neural Recording Interface With Bandwidth Reduction
Gosselin, B. J., Ayoub, A. E., Roy, J.-F., Sawan, M., Leporé, F., Chaudhuri, A., & Guitton, D. (2009) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2009.2013718 · Cited by 203 · see citing works
A Low-Power Integrated Bioamplifier With Active Low-Frequency Suppression
Gosselin, B. J., Sawan, M., & Chapman, C. A. (2007) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2007.914490 · Cited by 174 · see citing works
A Fully Integrated Neural Recording Amplifier With DC Input Stabilization
Mohseni, P., & Najafi, K. (2004) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2004.824126 · Cited by 173 · see citing works
Energy Efficient Low-Noise Neural Recording Amplifier With Enhanced Noise Efficiency Factor
Majidzadeh, V., Schmid, A., & Leblebici, Y. (2011) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2010.2078815 · Cited by 165 · see citing works
A Micropower Low-Noise Neural Recording Front-End Circuit for Epileptic Seizure Detection
Qian, C., Parramon, J., & Sanchez-Sinencio, E. (2011) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2011.2126370 · Cited by 145 · see citing works
A 5 $\mu$W/Channel Spectral Analysis IC for Chronic Bidirectional Brain–Machine Interfaces
Avestruz, A.-T., Santa, W. A., Carlson, D., Jensen, R. M., Stanslaski, S. R., Helfenstine, A., & Denison, T. (2008) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2008.2006460 · Cited by 143 · see citing works
Recent Advances in Neural Recording Microsystems
Gosselin, B. (2011) · Sensors · doi:10.3390/s110504572 · Cited by 138 · see citing works
Eliasmith, C. (2002) · Cited by 134 · see citing works
A 100-Channel 1-mW Implantable Neural Recording IC
Zou, X., Liu, L., Cheong, J. H., Yao, L., Li, P., Cheng, M.-Y., Goh, W. L., Rajkumar, R., Dawe, G. S., Cheng, K.-W., et al. (2013) · IEEE Transactions on Circuits and Systems I: Regular Papers · doi:10.1109/tcsi.2013.2249175 · Cited by 132 · see citing works
Perelman, Y., & Ginosar, R. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.883732 · Cited by 116 · see citing works
Analysis and Design of Tunable Amplifiers for Implantable Neural Recording Applications
Rezaee-Dehsorkh, H., Ravanshad, N., Lotfi, R., Mafinezhad, K., & Sodagar, A. M. (2011) · IEEE Journal on Emerging and Selected Topics in Circuits and Systems · doi:10.1109/jetcas.2011.2174492 · Cited by 103 · see citing works
A vertically integrated tool for automated design of ΣΔ modulators
Medeiro, F., Pérez-Verdú, B., Rodriguez-Vazquez, A., & Huertas, J. L. (1995) · IEEE Journal of Solid-State Circuits · doi:10.1109/4.391115 · Cited by 97 · see citing works
Stimulus-activated changes in brain tissue temperature in the anesthetized rat
LaManna, J. C., McCracken, K. A., Patil, M., & Prohaska, O. J. (1989) · Metabolic Brain Disease · doi:10.1007/bf00999769 · Cited by 94 · see citing works
Joye, N., Schmid, A., & Leblebici, Y. (2009) · Neurocomputing · doi:10.1016/j.neucom.2009.09.006 · Cited by 70 · see citing works
An Area-Efficient Noise-Adaptive Neural Amplifier in 130 nm CMOS Technology
Chaturvedi, V., & Amrutur, B. (2011) · IEEE Journal on Emerging and Selected Topics in Circuits and Systems · doi:10.1109/jetcas.2011.2178731 · Cited by 60 · see citing works
A 500µW neural tag with 2µVrms AFE and frequency-multiplying MICS/ISM FSK transmitter
Rai, S., Holleman, J. H., Pandey, J., Zhang, F., & Otis, B. P. (2009) · Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference · doi:10.1109/isscc.2009.4977383 · Cited by 54 · see citing works
A 1-V 60-µW 16-channel interface chip for implantable neural recording
Liew, W.-S., Zou, X., Yao, L., & Lian, Y. (2009) · Custom Integrated Circuits Conference · doi:10.1109/cicc.2009.5280795 · Cited by 43 · see citing works
A CMOS Power-Efficient Low-Noise Current-Mode Front-End Amplifier for Neural Signal Recording
Wu, C., Chen, W., & Kuo, L.-T. (2013) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2013.2256422 · Cited by 40 · see citing works
Chang, C., & Chiou, J. (2013) · Sensors · doi:10.3390/s130404624 · Cited by 35 · see citing works
An Implantable Neural Sensing Microsystem with Fiber-Optic Data Transmission and Power Delivery
Park, S., Borton, D. A., Kang, M., Nurmikko, A. V., & Song, Y. (2013) · Sensors · doi:10.3390/s130506014 · Cited by 34 · see citing works
A low-noise integrated bioamplifier with active DC offset suppression
Zhao, W. G., Li, H., & Zhang, Y. (2009) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2009.5372099 · Cited by 31 · see citing works
He, B. (2013) · Springer eBooks · doi:10.1007/978-1-4614-5227-0 · Cited by 31 · see citing works
A 1V 22µW 32-channel implantable EEG recording IC
Zou, X., Liew, W.-S., Yao, L., & Lian, Y. (2010) · Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference · doi:10.1109/isscc.2010.5434024 · Cited by 30 · see citing works
Advances in Microelectronics for Implantable Medical Devices
Demosthenous, A. (2014) · Advances in Electronics · doi:10.1155/2014/981295 · Cited by 27 · see citing works
Ruiz‐Amaya, J., Delgado‐Restituto, M., & Rodriguez-Vazquez, A. (2011) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2011.2157746 · Cited by 15 · see citing works
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Avoli, M., Centurelli, F., Monsurrò, P., Scotti, G., & Trifiletti, A. (2018) · AEU - International Journal of Electronics and Communications · doi:10.1016/j.aeue.2018.05.014 · Cited by 30 · see citing works
System-Level Design of a 64-Channel Low Power Neural Spike Recording Sensor
Delgado‐Restituto, M., Rodríguez‐Pérez, A., Darie, A., Soto‐Sánchez, C., Fernandez-Jover, E., & Rodriguez-Vazquez, A. (2017) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2016.2618319 · Cited by 30 · see citing works
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Chen, W.-C., Guido, K., & Kiourti, A. (2019) · IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology · doi:10.1109/jerm.2019.2904024 · Cited by 21 · see citing works
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Devi, S., Guha, K., Baishnab, K. L., Iannacci, J., & Narayan, K. S. (2022) · Microsystem Technologies · doi:10.1007/s00542-022-05253-4 · Cited by 12 · see citing works
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Jana, D., & Mal, A. K. (2017) · Devices for Integrated Circuit (DevIC) · doi:10.1109/devic.2017.8073990 · Cited by 5 · see citing works
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Devi, S., Guha, K., Jaksic, O. M., Baishnab, K. L., & Jakšić, Z. (2022) · Micromachines · doi:10.3390/mi13071104 · Cited by 3 · see citing works
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- Authors
- Ruiz-Amaya, J., Rodriguez-Perez, A., & Delgado-Restituto, M.
- Affiliations
- Institute of Microelectronics of Seville, Avda. Americo Vespucio s/n, Sevilla 41092, Spain
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2015-09-30
- Volume
- 15
- Issue
- 10
- Pages
- 25313-25335
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC4634474
- OpenAlex
- W2108919718
- Cited by
- 23
- References
- 47
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 4 · 2023: 1 · 2022: 3 · 2021: 2 · 2020: 2 · 2019: 3 · 2018: 2 · 2017: 2
- FWCI
- 0.66
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion, cc-by-nc-nd)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Deposito de Investigacion Universidad de Sevilla (University of Seville) (submittedVersion, cc-by-nc-nd)
- Funders
- Ministerio de Economía y Competitividad (TEC2012-33634)
- FEDER Programme (2013-15)
- 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
- low noise amplifier, two-stage OTA, noise efficiency factor, input-referred noise, low-power analog front-end, 130 nm CMOS, in vivo neural recording
- MeSH terms
- Action Potentials, Amplifiers, Electronic, Brain Mapping, Equipment Design, Feedback, Neurons, Signal Processing, Computer-Assisted, Biosensing Techniques, Limit of Detection, Signal-To-Noise Ratio
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