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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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
Flagged first, then by citations
1 of the 33 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Dagtekin, A multichannel chopper modulated neural recording system, 757
Cited by
Sorted by citations
Items 901–1,000 of 1,002
Novel Low Noise Amplifier for Neural Signals Based on STT-MTJ Spintronic Device
Pan, G., Karymy, A., Yu, P., & Jiang, Y. (2019) · IEEE Access · doi:10.1109/access.2019.2945036 · Cited by 6
An Imaging Platform for Real-Time In Vitro Microscopic Imaging for Lab-on-CMOS Systems
Senevirathna, B., Lu, S., Smela, E., & Abshire, P. (2019) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2019.8919023 · Cited by 6
Information capacity and power efficiency in operational transconductance amplifiers
Loganathan, M., Malhotra, S., & Abshire, P. (2004) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2004.1328164 · Cited by 6
Al-Ashmouny, K. M., Chang, S.-I., & Yoon, E. (2011) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2011.6107712 · Cited by 6
A Low-Noise Low-Power Preamplifier for Capacitive CMOS-MEMS Gyroscopes
Fang, D., & Xie, H. (2006) · IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) · doi:10.1109/mwscas.2006.382263 · Cited by 6
Analog front-end amplifier for ECG applications with feed-forward EOS cancellation
Tu, C.-C., & Lin, T. (2014) · International Symposium on VLSI Design, Automation and Test · doi:10.1109/vlsi-dat.2014.6834895 · Cited by 6
Electro-Chemical Multi-Channel Integrated Neural Interface Technologies
Aziz, J. N. Y., & Genov, R. (2006) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2006.1693056 · Cited by 6
Low-Power Low-Noise Neural Amplifier in 0.18μm FD-SOI Technology
Kim, D., Kamoua, R., & Stanaćević, M. (2007) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2007.378008 · Cited by 6
CMOS ICs for Brain Implantable Neural Recording Microsystems
Patterson, W. R., Song, Y., Bull, C. W., Laiwalla, F., Nurmikko, A. V., & Donoghue, J. P. (2007) · Integrated circuits and systems · doi:10.1007/978-0-387-68913-5_9 · Cited by 6
Low noise and low cost neural amplifiers
Bontorin, G., Tomas, J., & Renaud, S. (2007) · IEEE International Conference on Electronics, Circuits and Systems (ICECS) · doi:10.1109/icecs.2007.4511242 · Cited by 6
Wattanapanitch, W. (2007) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 6
Olsson, R. H., Buhl, D. L., Gulari, M. N., Buzsáki, G., & Wise, K. D. (2004) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2003.1279833 · Cited by 6
An electronic system for extracellular neural stimulation and recording
Blum, R. A. (2007) · SMARTech Repository (Georgia Institute of Technology) · Cited by 6
Ultra-Low Power High-Input Impedance Subthreshold CMOS Neural Front-End Amplifier
Khan, S. R., & Nadeem, I. (2019) · Radioelectronics and Communications Systems · doi:10.3103/s0735272719030051 · Cited by 5
Gu, X., Li, J., Wu, S., & Lyu, H. (2025) · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · doi:10.1109/tvlsi.2025.3578214 · Cited by 5
Jiang, R., Fong, J. Y., Tsai, C.-W., Chen, J., Li, Z., Lee, B. H. Y., & Yoo, J. (2025) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2025.3590743 · Cited by 5
Zhang, H., Li, H., Zhang, S., Zhang, Y., Shen, L., Tan, Z., & Ye, L. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3221891 · Cited by 5
High Gain Multistage CMOS Amplifier Design at 45nm technology node
Tripathi, S. L., Raj, B., Verma, S., Narula, V., & Saxena, S. (2023) · Devices for Integrated Circuit (DevIC) · doi:10.1109/devic57758.2023.10134863 · Cited by 5
Xia, Y., Wang, L., Zheng, R., Loo, H. L., Li, H.-C., Xu, Y., Zhang, B., Yuan, Z., & Pun, S. H. (2024) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas61083.2024.10798401 · Cited by 5
Universal architecture prototype for patient-centric medical environment
ChenWu, Y.-Y., Ma, H., Biswas, C., & Markovic, D. M. (2012) · International Symposium on VLSI Design, Automation and Test · doi:10.1109/vlsi-dat.2012.6212618 · Cited by 5
A digitally assisted, pseudo-resistor-less amplifier in 65nm CMOS for neural recording applications
Yi, C., Basu, A., & Je, M. (2012) · IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) · doi:10.1109/mwscas.2012.6292033 · Cited by 5
A neural signal detection amplifier with low-frequency noise suppression
Yoshida, T., Masui, Y., Eki, R., Iwata, A., Yoshida, M., & Uematsu, K. (2009) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2009.5117835 · Cited by 5
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
Scaling models for microfabricated in vivo neural recording technologies
Scholvin, J., Fonstad, C. G., & Boyden, E. S. (2017) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner.2017.8008321 · Cited by 5
A low noise front-end amplifier for pyroelectric transducer based respiration monitoring system
Mahbub, I., Shamsir, S., ISLAM, S. K., Pullano, S. A., & Fiorillo, A. S. (2017) · IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) · doi:10.1109/mwscas.2017.8053063 · Cited by 5
Li, Y., & Li, Y. L. (2019) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126620501091 · Cited by 5
Enhanced ICMR amplifier for high CMRR biopotential recordings
Oreggioni, J., Lisboa, P. C., & Silveira, F. (2019) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2019.8856656 · Cited by 5
AC coupled amplifier with a resistance multiplier technique for ultra-low frequency operation
Martincorena‐Arraiza, M., Cruz‐Blas, C. A. D. L., Carlosena, A., & López‐Martín, A. J. (2022) · AEU - International Journal of Electronics and Communications · doi:10.1016/j.aeue.2022.154176 · Cited by 5
Song, S., Kim, M., & Park, S. (2022) · Electronics · doi:10.3390/electronics11223659 · Cited by 5
Biomedical Amplifiers Design Based on Pseudo-Resistors: A Review
AbuShawish, I. Y., Mahmoud, S. A., Majzoub, S., & Hussain, A. J. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2023.3280668 · Cited by 6
A digitally programmable gain amplifier for ultra-low-power applications
Kumngern, M., Khateb, F., & Kulej, T. (2015) · Analog Integrated Circuits and Signal Processing · doi:10.1007/s10470-015-0621-0 · Cited by 5
Neural recording system with low-noise analog front-end and comparator-based cyclic ADC
Kim, S., Na, S.-I., Kim, T., Lee, H., Kim, S., Rhee, J., & Kim, S. (2012) · IEEE International SOC Conference (SOCC) · doi:10.1109/socc.2012.6398393 · Cited by 5
Comparative study and analysis of noise reduction techniques for front-end amplifiers
Liu, L., Zou, X., Goh, W. L., & Je, M. (2011) · International Symposium on Integrated Circuits · doi:10.1109/isicir.2011.6131923 · Cited by 5
Tunable, low-power, high-gain Transimpedance amplifier for fNIRS photoreceiver front-end
Kamrani, E., Sultana, A., & Sawan, M. (2011) · IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) · doi:10.1109/mwscas.2011.6026338 · Cited by 5
Low power implantable neural recording front-end
Do, A. T., Tan, Y., Lam, C. K., Je, M., & Yeo, K. S. (2012) · International SoC Design Conference · doi:10.1109/isocc.2012.6407122 · Cited by 5
A low-power low-noise bioamplifier for multielectrode neural recording systems
Quadir, S. E., Haider, M. R., & Massoud, Y. (2012) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2012.6271825 · Cited by 5
A Monolithic Bandpass Amplifier for Neural Signal Processing with 25-Hz Low-Frequency Cutoff
Samsukha, P., & Garverick, S. L. (2007) · Custom Integrated Circuits Conference · doi:10.1109/cicc.2007.4405707 · Cited by 5
A MEMS microphone interface with force-balancing and charge-control
Jawed, S. A., Cattin, D., Massari, N., Gottardi, M., & Baschirotto, A. (2008) · Conference on Ph.D. Research in Microelectronics and Electronics · doi:10.1109/rme.2008.4595734 · Cited by 5
Chen, Y., Lee, Y., Yeh, S., & Chen, H. (2009) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner.2009.5109231 · Cited by 5
Test and configuration architecture of a sub-THz CMOS detector array
Földesy, P., Gergelyi, D., Fuzy, C., & Károlyi, G. (2012) · IEEE International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS) · doi:10.1109/ddecs.2012.6219033 · Cited by 5
A 77 nW bioamplifier with a tunable bandwidth for neural recording systems
Kazerouni, I. A., Dehrizi, H. G., Mostafavi, M., Zou, Z., Nejad, M. B., & Zheng, L. (2010) · IEEE Asia Pacific Conference on Circuits and Systems (APCCAS) · doi:10.1109/apccas.2010.5774926 · Cited by 5
Comparative analysis of information rates of simple amplifier topologies
McFarlane, N. M., & Abshire, P. (2011) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2011.5937683 · Cited by 5
Hu, W., Nguyen, T., Liu, Y., & Lie, D. Y. C. (2011) · IEEE/NIH Life Science Systems and Applications Workshop · doi:10.1109/lissa.2011.5754148 · Cited by 5
Design of low-Gm transconductors using varactor-based degeneration and linearization technique
Zhou, L., & Chakrabartty, S. (2015) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2015.7348305 · Cited by 5
A figure of merit for neural electrical stimulation circuits
Kölbl, F., & Demosthenous, A. (2015) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7318796 · Cited by 5
A Low Power, Low Noise Amplifier for Recording Neural Signals
Deepika, G., & Rao, K. S. (2017) · IAES International Journal of Artificial Intelligence · doi:10.11591/ijai.v6.i1.pp18-25 · Cited by 5
A low-power, low-noise neural recording amplifier for implantable biomedical devices
Kim, H. S., & Cha, H. (2016) · International SoC Design Conference · doi:10.1109/isocc.2016.7799784 · Cited by 5
Moghaddam, K. R., & Mohammadi, A. R. (2017) · AEU - International Journal of Electronics and Communications · doi:10.1016/j.aeue.2017.04.011 · Cited by 5
Experimental study and modeling of pseudo-resistor's non-linearity
Pereira, C. F., Benko, P. L., Galeti, M., Lucchi, J. C., & Giacomini, R. C. (2017) · Symposium on Microelectronics Technology and Devices · doi:10.1109/sbmicro.2017.8112999 · Cited by 5
A Low-Noise Low-Cost EEG Amplifier for Neural Recording Applications
Tirumani, P. V., Das, S., Swami, P., & Gandhi, T. K. (2018) · Lecture notes in electrical engineering · doi:10.1007/978-981-10-8240-5_65 · Cited by 5
ECoG Electrode Array with Embedded Coupling Capacitors for Area Efficient Neural Recording
Ashoori, E., Yin, H., Parsnejad, S., Salatino, J. W., Purcell, E. K., & Mason, A. J. (2018) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2018.8584815 · Cited by 5
Two-Wired Current Modulator Active Electrode for Ambulatory Biosignal Recording
Pourahmad, A., & Dehghani, R. (2018) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2018.2888996 · Cited by 5
Omidvar, A., & Shaterian, M. (2019) · Microelectronics Journal · doi:10.1016/j.mejo.2019.104654 · Cited by 5
A 4-Channel sEMG ASIC with Real-Time Muscle Fatigue Feature Extraction
Tu, W., Cacho-Soblechero, M., Terracina, D., Strutton, P. H., & Georgiou, P. (2021) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas51556.2021.9401781 · Cited by 5
Zhu, L., Zhou, Z., Zhang, C., Meng, Q., & Wang, Z. (2021) · Electronics Letters · doi:10.1049/ell2.12313 · Cited by 4
A Switched-Capacitor Closed-Loop Integration Sampling Front-End for Peripheral Nerve Recording
Liu, J., & Allstot, D. J. (2021) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas49922.2021.9645017 · Cited by 5
A New Readout Circuit with Robust Quadrature Error Compensation for MEMS Vibratory Gyroscopes
Zargari, S., & Moezzi, M. (2022) · Circuits Systems and Signal Processing · doi:10.1007/s00034-021-01941-0 · Cited by 5
An Ultra-Low Area Digital-Assisted Neuro Recording System in 22nm FDSOI Technology
Schüffny, F. M., Höppner, S., Hänzsche, S., George, R., Zeinolabedin, S. M. A., & Mayr, C. (2021) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2021.3121034 · Cited by 5
Liu, J., & Allstot, D. J. (2023) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2023.3237616 · Cited by 5
In 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
A Glimpse of the History of Analog ICs: A Tale of Amplifiers, Data Converters, and Sensor Interfaces
Chae, Y., López, C. M., Makinwa, K. A. A., Ortmanns, M., & Sansen, W. (2023) · IEEE Solid-State Circuits Magazine · doi:10.1109/mssc.2023.3282557 · Cited by 5
Bahrami, E., & Shamsi, H. (2015) · Iranian Conference on Electrical Engineering · doi:10.1109/iraniancee.2015.7146403 · Cited by 5
A 32-channel neural recording system with a liquid-crystal polymer MEA
Na, S.-I., Kim, S., Kim, T., Lee, H., Lee, H., & Kim, S. (2013) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2013.6679628 · Cited by 5
A highly linear, Sigma-Delta based, sub-Hz high-pass filtered ExG readout system
Mohan, R., Hiseni, S., & Serdijn, W. A. (2013) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2013.6571812 · Cited by 5
Design of low noise amplifier for sensor applications
Jana, D., & Mal, A. K. (2017) · Devices for Integrated Circuit (DevIC) · doi:10.1109/devic.2017.8073990 · Cited by 5
Fully-Integrated CMOS Electrical Conductivity Sensor for Wet Media
Asgari, M., & Lee, K. (2019) · IEEE Sensors Journal · doi:10.1109/jsen.2019.2911206 · Cited by 5
Inductanceless high order low frequency filters for medical applications
Almalah, N. T., & Taha, F. H. (2022) · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · doi:10.11591/ijece.v12i2.pp1299-1307 · Cited by 5
Low Power Technology for Wearable Cognition Systems
Yates, D. C., Casson, A. J., & Rodriguez–Villegas, E. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-73216-7_15 · Cited by 5
A New Method for Measurement of Low-Frequency Noise of MOSFET
Roshan-Zamir, A., & Ashtiani, S. J. (2013) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2013.2266053 · Cited by 5
Class-AB Fully Differential Voltage Followers
Ramirez‐Angulo, J., López‐Martín, A. J., Carvajal, R. G., & Calvo, B. (2008) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2007.911827 · Cited by 5
A Gate Leakage Feedback Element in an Adaptive Amplifier Application
Berge, H. K. O., & Hafliger, P. D. (2008) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2007.910761 · Cited by 5
A multichannel intracerebral EEG monitoring system for epilepsy presurgical evaluation
Salam, M. T., Nguyen, D. K., & Sawan, M. (2011) · Conference proceedings - Canadian Conference on Electrical and Computer Engineering · doi:10.1109/ccece.2011.6030465 · Cited by 5
Low-power low noise amplifier with tunable band for neural signal recording
Kmon, P., & Gryboś, P. (2008) · International Conference Mixed Design of Integrated Circuits and Systems · Cited by 5
Wireless implantable EMG sensor for powered prosthesis control
Young, D. J., Farnsworth, B. D., & Triolo, R. J. (2008) · IEEE International Conference on Solid-State and Integrated Circuit Technology · doi:10.1109/icsict.2008.4735104 · Cited by 5
Linear-enhanced V to I converters based on MOS resistive source degeneration
Calvo, B., López‐Martín, A. J., Balasubramanian, S., Ramirez‐Angulo, J., & Carvajal, R. G. (2008) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2008.4542118 · Cited by 5
Low Power Circuit Design Techniques: A Survey
Raj, N., Singh, A. K., & Gupta, A. K. (2014) · International Journal of Computer Theory and Engineering · doi:10.7763/ijcte.2015.v7.951 · Cited by 5
Gallegos, S. A., & Huq, H. F. (2014) · IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) · doi:10.1109/mwscas.2014.6908555 · Cited by 5
Ultralow-Area Hysteretic Control LDO With Sub-1- $\mu\text{A}$ Quiescent Current
Darwish, M., Mohsen, M., Saad, A., & Weldon, J. A. (2016) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2016.2536240 · Cited by 5
Compact, Programmable, Two-Stage Configuration for Implantable Biopotential Recording Amplifiers
Maghami, M. H., & Sodagar, A. M. (2019) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126619200093 · Cited by 5
Wu, R., Makinwa, K. A. A., & Huijsing, J. H. (2009) · Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference · doi:10.1109/isscc.2009.4977438 · Cited by 5
Integrated low noise low power interface for neural bio-potentials recording and conditioning
Bottino, E., Sergio Martinoia, A., & Valle, M. (2005) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.607938 · Cited by 5
Multi-channel integrated neural interfaces for distributed electro-chemical sensing
Aziz, J. N. Y., & Genov, R. (2005) · IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) · doi:10.1109/mwscas.2005.1594467 · Cited by 5
A Floating-gate Based Low-Power Capacitive Sensing Interface Circuit
Peng, S.-Y., Qureshi, M. S., Basu, A., Hasler, P. E., & Degertekin, F. L. (2006) · Custom Integrated Circuits Conference · doi:10.1109/cicc.2006.321007 · Cited by 5
A Low Power Low Noise Instrumentation Amplifier For ECG Recording Applications
Coulon, J. (2012) · OakTrust (Texas A&M University Libraries) · Cited by 5
Ross, J. (2008) · Europe PMC (PubMed Central) · Cited by 5
Oreggioni, J., Caputi, A. A., & Silveira, F. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-801238-3.64161-2 · Cited by 5
Kasipogula, B. R., & Komanapalli, G. (2024) · PLoS ONE · doi:10.1371/journal.pone.0313423 · Cited by 4
Capacitance-to-Voltage Electronic Front Ends for MEMS Capacitive Accelerometer: A Review
Wang, Y., Wang, Y., Li, S., Li, Q., Xu, D., & Lai, X. (2025) · IEEE Sensors Journal · doi:10.1109/jsen.2025.3625402 · Cited by 4
A 0.9 V, Ultra-Low-Power OTA with Low NEF and High CMRR for Batteryless Biomedical Front-Ends
Emon, M. Z. A., Apu, R., & Elamien, M. B. (2025) · Electronics · doi:10.3390/electronics14224520 · Cited by 4
Wang, J., Liu, R., Tchoe, Y., Buccino, A. P., Paul, A., Prè, D., D’Antonio‐Chronowska, A., Frazer, K., Bang, A. G., Kim, C., et al. (2024) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2024.3407794 · Cited by 4
Gu, G., Yang, C., Zhao, J. P., Du, S., Luo, Y., & Zhao, B. (2024) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2024.3439619 · Cited by 4
CMOS Circuits in the Design and Development of Implantable Medical Devices
Laskar, M. J., Banerjee, A., Prasad, V., & Das, D. (2025) · Biomedical Materials & Devices · doi:10.1007/s44174-024-00267-0 · Cited by 4
Review of Bio-Amplifier Architectures
Xu, J., Yazıcıoğlu, R. F., Hoof, C. A. V., & Makinwa, K. A. A. (2018) · Analog circuits and signal processing/Analog circuits and signal processing series · doi:10.1007/978-3-319-74863-4_2 · Cited by 4
A Low Power Biopotential Amplifier based on Bulk Driven Quasi Floating Gate Technique
Sharma, P., Sharma, K., Jatana, H. S., & Sharma, R. (2019) · Devices for Integrated Circuit (DevIC) · doi:10.1109/devic.2019.8783245 · Cited by 4
A compact and energy-efficient ultrasound receiver using PTAT reference circuit
Alazzawi, Y., Chatterjee, O., & Chakrabartty, S. (2019) · Microelectronics Journal · doi:10.1016/j.mejo.2019.104656 · Cited by 4
Xia, Y., Zheng, R., Wang, L., Zhang, A., Li, D., Wu, Y., Gao, Y., Xu, Y., Zhang, B., Li, H., et al. (2023) · Electronics · doi:10.3390/electronics12234783 · Cited by 4
Wang, Z., Wang, X., Shu, G., Yin, M., Huang, S., & Yin, M. (2024) · Biosensors · doi:10.3390/bios14020111 · Cited by 6
Variability-aware gradual aging for generating reliability figures of a neural measurement system
Hellwege, N., Heidmann, N., Peters-Drolshagen, D., & Steffen Paul, A. (2013) · International Conference Mixed Design of Integrated Circuits and Systems · Cited by 4
Kabara, P., Thakur, S., Saileshwar, G., Baghini, M. S., & Sharma, D. K. (2011) · International SoC Design Conference · doi:10.1109/isocc.2011.6138769 · Cited by 4
Design of a micro power amplifier for neural signal recording
Hmida, G. B., Kachouri, A., & Ghariani, H. (2009) · International Conference on Design & Technology of Integrated Systems in Nanoscale Era (DTIS) · doi:10.1109/dtis.2009.4938069 · Cited by 4
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
