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
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- Dagtekin, A multichannel chopper modulated neural recording system, 757
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Items 501–600 of 1,002
Tasneem, N. T., & Mahbub, I. (2021) · Electronics · doi:10.3390/electronics10050590 · Cited by 17
Zhou, Z., Zhu, L., Yang, R., Li, J., Wang, W., Pan, J., Liu, M., Wang, K., & Wang, Z. (2021) · IEEE Sensors Journal · doi:10.1109/jsen.2021.3130003 · Cited by 17
A low-power low-noise CMOS analog front-end IC for portable brain-heart Monitoring applications
Tsai, C.-H., Hsieh, Z.-H., & Fang, W.-C. (2011) · IEEE/NIH Life Science Systems and Applications Workshop · doi:10.1109/lissa.2011.5754151 · Cited by 17
Kim, H., Hoof, C. A. V., & Yazıcıoğlu, R. F. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6090414 · Cited by 17
Preamplifiers for non-contact capacitive biopotential measurements
Peng, G., Ignjatovic, Z., & Bocko, M. F. (2013) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2013.6609792 · Cited by 17
A 1V 2.3/spl mu/W Biomedical Signal Acquisition IC
Wu, H., & Xu, Y. P. (2006) · Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference · doi:10.1109/isscc.2006.1696040 · Cited by 17
A Wide Linear Output Range Biopotential Amplifier for Physiological Measurement Frontend
Hasan, M. N., & Lee, K. (2014) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2014.2332240 · Cited by 17
Cell-lab on a chip: a CMOS-based microsystem for culturing and monitoring cells
Liu, Y., Smela, E., Nelson, N., & Abshire, P. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2004.1403729 · Cited by 17
An area-efficient low-noise CMOS DNA detection sensor for multichannel nanopore applications
Kim, J., Pedrotti, K. D., & Dunbar, W. B. (2012) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2012.08.075 · Cited by 17
Wireless, In Vivo Neural Recording using a Custom Integrated Bioamplifier and the Pico System
Cheney, D. J., Goh, A., Xu, J., Gugel, K., Harris, J. G., Sanchez, J. C., & Príncipe, J. C. (2007) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/cne.2007.369601 · Cited by 17
A Biomedical Implantable FES Battery-Powered Micro-Stimulator
Lee, E., Matei, E., Gord, J., Hess, P., Nercessian, P., Stover, H., Li, T., & Wolfe, J. (2009) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2009.2034052 · Cited by 17
A 1mW Dual-Chopper Amplifier for a 50-μg√Hz Monolithic CMOS-MEMS Capacitive Accelerometer
Fang, D., Qu, H., & Xie, H. (2006) · Symposium on VLSI Circuits · doi:10.1109/vlsic.2006.1705311 · Cited by 17
A 512-channels, whole array readout, CMOS implantable probe for acute recordings from the brain
Angotzi, G. N., Malerba, M., Zucca, S., & Berdondini, L. (2015) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7318502 · Cited by 16
Carboni, C., Bisoni, L., Carta, N., Puddu, R., Raspopović, S., Navarro, X., Raffo, L., & Barbaro, M. (2016) · Biomedical Microdevices · doi:10.1007/s10544-016-0043-5 · Cited by 17
Walsh-Hadamard-Based Orthogonal Sampling Technique for Parallel Neural Recording Systems
Ranjandish, R., & Schmid, A. (2021) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2021.3055484 · Cited by 17
Wang, A. Y., Sheng, Y., Li, W., Jung, D., Junek, G. V., Liu, H., Park, J.-S., Lee, D., Wang, M., Maharjan, S., et al. (2022) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2022.3224064 · Cited by 16
A low-noise low-power EEG acquisition node for scalable brain-machine interfaces
Sullivan, T. J., Deiss, S. R., Cauwenberghs, G., & Jung, T. (2007) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.724019 · Cited by 16
From spikes to EEG: Integrated multichannel and selective acquisition of neuropotentials
Mollazadeh, M., Murari, K., Cauwenberghs, G., & Thakor, N. V. (2008) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2008.4649769 · Cited by 16
A Neuromorphic Device for Detecting High-Frequency Oscillations in Human iEEG
Sharifshazileh, M., Burelo, K., Fedele, T., Sarnthein, J., & Indiveri, G. (2019) · IEEE International Conference on Electronics, Circuits and Systems (ICECS) · doi:10.1109/icecs46596.2019.8965192 · Cited by 16
A fabrication of a low-power low-noise neural recording amplifier based on flipped voltage follower
Farouk, T., Dessouky, M. A., & Elkhatib, M. (2020) · Microelectronics Journal · doi:10.1016/j.mejo.2020.104817 · Cited by 16
Jeong, K., Jung, Y., Yun, G., Youn, D., Jo, Y., Lee, H. J., Ha, S., & Je, M. (2022) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2022.3193944 · Cited by 16
A High-Linearity Low-Noise Amplifier with Variable Bandwidth for Neural Recoding Systems
Yoshida, T., Sueishi, K., Iwata, A., Matsushita, K., Hirata, M., & Suzuki, T. J. (2011) · Japanese Journal of Applied Physics · doi:10.1143/jjap.50.04de07 · Cited by 16
Design of low power low noise amplifier for portable electrocardiogram recording system applications
Yang, X., Cheng, Q., Lin, L.-F., Huang, W., & Ling, C. (2011) · IEEE International Conference on Anti-counterfeiting, Security, and Identification (ASID) · doi:10.1109/asid.2011.5967423 · Cited by 16
A Low Quiescent Biased Regulator With High PSR Dedicated to Micropower Sensor Circuits
Ong, G. T., & Pak Kwong, C. H. A. N. (2010) · IEEE Sensors Journal · doi:10.1109/jsen.2009.2038793 · Cited by 16
Wang, H., Britton, C. L., Quaiyum, F., Pullano, S. A., Taylor, L. S., Fiorillo, A. S., & ISLAM, S. K. (2018) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2018.2798929 · Cited by 16
Smart Autonomous Electro-Optic Platforms Enabling Innovative Brain Therapies
Gagnon-Turcotte, G., Bilodeau, G., Tsiakaka, O., & Gosselin, B. J. (2020) · IEEE Circuits and Systems Magazine · doi:10.1109/mcas.2020.3027220 · Cited by 16
Real-time variance based template matching spike sorting system
Haas, A. M., Cohen, M. H., & Abshire, P. (2007) · IEEE/NIH Life Science Systems and Applications Workshop · doi:10.1109/lssa.2007.4400895 · Cited by 16
Yin, M., Field, R., & Ghovanloo, M. (2006) · International IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology (MMB) · doi:10.1109/mmb.2006.251555 · Cited by 16
High-density neural recording system design
Lee, H.-S., Eom, K., Park, M., Ku, S.-B., Lee, K., & Lee, H.-M. (2022) · Biomedical Engineering Letters · doi:10.1007/s13534-022-00233-z · Cited by 17
Energy-Efficient Amplifiers Based on Quasi-Floating Gate Techniques
López‐Martín, A. J., Garde, M. P., Algueta, J. M., Beloso‐Legarra, J., Carvajal, R. G., & Ramirez‐Angulo, J. (2021) · Applied Sciences · doi:10.3390/app11073271 · Cited by 15
Design of a Low-Power Low-Noise ECG Amplifier for Smart Wearable Devices Using 180nm CMOS Technology
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Häberle, M., Djekic, D., Krüger, D., Rajabzadeh, M., Ortmanns, M., & Anders, J. (2022) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2022.3174174 · Cited by 15
A programmable analog front-end with independent biasing technique for ECG signal acquisition
Han, W., Yu, Q., Wu, K., Zhang, Z., Li, J., & Ning, N. (2023) · Microelectronics Journal · doi:10.1016/j.mejo.2023.105792 · Cited by 15
Zhou, Y., Song, S., Zheng, Y., Yang, T., Li, M., Cao, Y., Zheng, F., Huang, K., Tan, Z., & Zhao, M. (2024) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2024.3351872 · Cited by 15
Shen, Y., Yang, C., Zhang, Y., Wang, W., Luo, Y., Yu, C., Xu, K., Pan, G., & Zhao, B. (2024) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2024.3366176 · Cited by 15
Ng, K. A., Zhang, L., Wu, H., Tang, T., & Yoo, J. (2024) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2024.3391169 · Cited by 15
Limnuson, K., Lu, H., Chiel, H. J., & Mohseni, P. (2015) · Analog Integrated Circuits and Signal Processing · doi:10.1007/s10470-015-0489-z · Cited by 15
Wireless multichannel acquisition of neuropotentials
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Smart optrode for neural stimulation and sensing
Dehkhoda, F., Soltan, A., Ramezani, R., Zhao, H., Liu, Y., Constandinou, T. G., & Degenaar, P. A. (2015) · Proceedings of IEEE Sensors/Proceedings of IEEE Sensors ... · doi:10.1109/icsens.2015.7370687 · Cited by 15
2.3–21 GHz broadband and high linearity distributed low noise amplifier
Bakkali, M. E., Elftouh, H., Amar, N. T., & Elhamadi, T. (2020) · Integration · doi:10.1016/j.vlsi.2020.09.005 · Cited by 15
Ansari, F., & Yavari, M. (2022) · Circuits Systems and Signal Processing · doi:10.1007/s00034-022-01970-3 · Cited by 16
A low-power field-programmable analog array for wireless sensing
Rumberg, B. D., & Graham, D. W. (2015) · International Symposium on Quality Electronic Design (ISQED) · doi:10.1109/isqed.2015.7085484 · Cited by 15
Aceros, J. C., Yin, M., Borton, D. A., Patterson, W. R., & Nurmikko, A. V. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6090579 · Cited by 15
A fast-switching current-pulse driver for LED backlight
Kim, J.-S., Lee, Y.-K., Lee, J.-S., Shin, Y.-K., Tark, J.-H., Ryu, K.-C., & Yang, B. (2009) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2009.5118120 · Cited by 15
An ultra-low power amplifier for wearable and implantable electronic devices
Horestani, F. K., Eshghi, M., & Yazdchi, M. (2019) · Microelectronic Engineering · doi:10.1016/j.mee.2019.111054 · Cited by 15
Sharma, K., Jamuar, S. S., & Sharma, R. (2020) · Review of Scientific Instruments · doi:10.1063/1.5125409 · Cited by 15
Bihr, U., & Ortmanns, M. (2012) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2012.6271735 · Cited by 15
An ultra low-power chopper stabilized front-end for multichannel cortical signals recording
Gosselin, B. J., Simard, V., & Sawan, M. (2004) · Conference proceedings - Canadian Conference on Electrical and Computer Engineering · doi:10.1109/ccece.2004.1347696 · Cited by 15
Integrated MEMS structures and CMOS circuits for bioelectronic interface with single cells
Reeves, N., Liu, Y., Nelson, N., Malhotra, S., Loganathan, M., Lauestein, J.-M., Chaiyupatumpa, C., Smela, E., & Abshire, P. (2004) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2004.1328836 · Cited by 15
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Based on self-learning dictionary circuit board fault diagnosis device
Tang, Y., Wang, C., Wang, M., Hao, H., & Zhao, J. (2017) · IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) · doi:10.1109/iaeac.2017.8054506 · Cited by 14
Corbacho, I., Carrillo, J. M., Ausín, J. L., Dominguez, M. A., Perez-Aloe, R., & Duque-Carrillo, J. F. (2022) · Electronics · doi:10.3390/electronics11111668 · Cited by 14
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Chang, C., Chang, C., Huang, H.-Y., Hsu, C.-M., Huang, C.-H., Chiou, J., & Luo, C. (2010) · Sensors · doi:10.3390/s100504777 · Cited by 14
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A high input impedance low-noise instrumentaion amplifier with JFET input
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24-channel dual-band wireless neural recorder with activity-dependent power consumption
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Cho, J., Seong, G., Chang, Y., & Kim, C. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.667447 · Cited by 18
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Zhou, Z., Zhu, L., Wang, W., Li, J., Meng, Q., & Wang, Z. (2023) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2023.3291375 · Cited by 15
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Tateno, T., & Nishikawa, J. (2014) · Frontiers in Neuroengineering · doi:10.3389/fneng.2014.00039 · Cited by 14
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Lee, H.-S., Nguyen, V. N., Pham, X. L., Lee, J., & Park, H.-K. (2016) · Analog Integrated Circuits and Signal Processing · doi:10.1007/s10470-016-0853-7 · Cited by 14
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Yates, D. C., & Rodriguez–Villegas, E. (2006) · IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) · doi:10.1109/mwscas.2006.382309 · Cited by 14
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Poon, A. S. Y. (2014) · doi:10.1002/9783527673148.ch4 · Cited by 14
Liu, Y., Wang, Z., Jiao, Y., Chen, Y., Xu, G., Ma, Y., & Feng, X. (2024) · Bio-Design and Manufacturing · doi:10.1007/s42242-024-00278-2 · Cited by 13
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Lee, T., Kim, M. K., Lee, H. J., & Je, M. (2022) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2022.3146324 · Cited by 14
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Zabihian, A., Maghami, M. H., Asgarian, F., & Amir, M. (2012) · InTech eBooks · doi:10.5772/50336 · Cited by 13
Measurement and parameter characterization of pseudo-resistor based CCIA for biomedical applications
Tu, C.-C., & Lin, T. (2014) · International Symposium on Bioelectronics and Bioinformatics (ISBB) · doi:10.1109/isbb.2014.6820938 · Cited by 13
Robust, reconfigurable, and power-efficient biosignal recording systems
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Liquid Crystal Sensor Microchip
Hassanzadeh, A., & Lindquist, R. G. (2011) · IEEE Sensors Journal · doi:10.1109/jsen.2011.2174219 · Cited by 13
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Chen, C. H., Pun, S. H., Mak, P. U., Vai, M. I., Klug, A., & Lei, T. C. (2014) · BioMed Research International · doi:10.1155/2014/135026 · Cited by 13
Design of Low-Power High-Gain Operational Amplifier for Bio-Medical Applications
Rajput, S. S., Singh, A. K., Chandel, A. K., & Chandel, R. (2016) · IEEE Computer Society Annual Symposium on VLSI · doi:10.1109/isvlsi.2016.62 · Cited by 13
A Ferroelectric Ceramic/Polymer Composite‐Based Capacitive Electrode Array for In Vivo Recordings
Chen, C., Xue, M., Wen, Y., Yao, G., Cui, Y., Liao, F., Yan, Z., Huang, L., Khan, S. A., Gao, M., et al. (2017) · Advanced Healthcare Materials · doi:10.1002/adhm.201700305 · Cited by 13
Low-Noise Amplifier for Deep-Brain Stimulation (DBS)
Nordi, T. M., Gounella, R. H., Luppe, M., Junior, J. N. S., Fonoff, E. T., Colombari, E., Romero, M. A., & Carmo, J. P. (2022) · Electronics · doi:10.3390/electronics11060939 · Cited by 13
Mohammad, U., Awan, M. A., Bermak, A., & Tang, F. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3164148 · Cited by 13
A sub-1µW neural spike-peak detection and spike-count rate encoding circuit
Paraskevopoulou, S. E., & Constandinou, T. G. (2011) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2011.6107719 · Cited by 13
Pulse-based signal compression for implanted neural recording systems
Harris, J. G., Príncipe, J. C., Sanchez, J. C., Chen, D., & She, C. (2008) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2008.4541425 · Cited by 13
A floating gate common mode feedback circuit for low noise amplifiers
Charles, C. T., & Harrison, R. R. (2003) · Southwest Symposium on Mixed-Signal Design · doi:10.1109/ssmsd.2003.1190422 · Cited by 13
Self-citationA comparative study of low-noise amplifiers for neural applications
Ruiz‐Amaya, J., Rodríguez‐Pérez, A., & Delgado‐Restituto, M. (2010) · doi:10.1109/icm.2010.5696151 · Cited by 13
Interface Circuits for MEMS Microphones
Malcovati, P., Grassi, M., & Baschirotto, A. (2012) · Springer eBooks · doi:10.1007/978-1-4614-4587-6_9 · Cited by 13
A custom multielectrode array with integrated low-noise preamplifiers
Blum, R. A., Ross, J. D., Simon, C. M., Brown, E. A., Harrison, R. R., & DeWeerth, S. P. (2004) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2003.1280874 · Cited by 13
Self-citationA 60V capacitive gain 27nV/√Hz 137dB CMRR PGA with ±10V inputs
Birk, C., & Mora-Puchalt, G. (2012) · Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference · doi:10.1109/isscc.2012.6177056 · Cited by 12
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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