The DOI matches its Crossref record; 26 of the 27 references it cites were found in a registry or an index.
A 0.013 ${\hbox {mm}}^{2}$, 5 $\mu\hbox{W}$, DC-Coupled Neural Signal Acquisition IC With 0.5 V Supply
Abstract
We present an area-efficient neural signal-acquisition system that uses a digitally intensive architecture to reduce system area and enable operation from a 0.5 V supply. The architecture replaces ac coupling capacitors and analog filters with a dual mixed-signal servo loop, which allows simultaneous digitization of the action and local field potentials. A noise-efficient DAC topology and an compact, boxcar sampling ADC are used to cancel input offset and prevent noise folding while enabling “per-pixel” digitization, alleviating system-level complexity. Implemented in a 65 nm CMOS process, the prototype occupies 0.013 mm2while consuming 5 μW and achieving 4.9 μVrms of input-referred noise in a 10 kHz bandwidth.
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
“However, modern circuit designs [77, 92] and IC fabrication technologies [18, 86] have resulted in innovative designs, enabling designers to relax such compromises.”
From Implantable neurotechnologies: a review of integrated circuit neural amplifiers (2016) · cites this paper as [86]
In the citing paper
“CNS amplifiers have also been developed that can acquire both types of signals, separately filtering, amplifying and outputting each signal type [46, 86, 100].”
From Implantable neurotechnologies: a review of integrated circuit neural amplifiers (2016) · cites this paper as [86]
In the citing paper
“Recently, Muller et al. [86] introduced the power efficiency factor (PEF), which takes into account both the operating current and the supply voltage and therefore provides a better comparison of the amplifier’s performance.”
From Implantable neurotechnologies: a review of integrated circuit neural amplifiers (2016) · cites this paper as [86]
Citations
Cites
Operation and modeling of the MOS transistor
Tsividis, Y. (1987) · Cited by 3,162
Electrical stimulation of excitable tissue: design of efficacious and safe protocols
Merrill, D. R., Bikson, M., & Jefferys, J. G. R. (2005) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2004.10.020 · Cited by 2,078
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
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
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 728
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
Emergence of a stable cortical map for neuroprosthetic control
Ganguly, K., & Carmena, J. M. (2009) · PLoS Biology · doi:10.1371/journal.pbio.1000153 · Cited by 578
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
0.5-V analog circuit techniques and their application in OTA and filter design
Chatterjee, S., Tsividis, Y., & Kinget, P. R. (2005) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2005.856280 · Cited by 503
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
Research works printed but not linked: 2
- xiao, 2010, A 20 <ref_formula><tex Notation="TeX">$\mu{W}$</tex> </ref_formula> neural recording tag with supply-current-modulated AFE in 0.13 <ref_formula> <tex Notation="TeX">$\mu{\hbox {m}}$</tex></ref_formula> CMOS, IEEE Solid-State Circuits Conf Dig Tech Papers, 122
- muller, 2011, A 0.013 <ref_formula><tex Notation="TeX">${\hbox {mm}}^{2}$</tex></ref_formula>, 5 <ref_formula><tex Notation="TeX">$\mu{W}$</tex> </ref_formula>, DC-coupled neural signal acquisition IC with 0.5 V supply, IEEE Solid-State Circuits Conf Dig Tech Papers, 302
Cited by
Sorted by citations
Items 201–300 of 338
Gupta, S. K., Ahmad, R., Singh, P., Boolchandani, D., & Kar, S. K. (2023) · International Conference on Signal Processing and Integrated Networks (SPIN) · doi:10.1109/spin57001.2023.10116211 · Cited by 8
A current-reuse complementary-input chopper-stabilized amplifier for neural recording
Tan, Y., Lu, J., Poore, N. C., & Holleman, J. H. (2014) · IEEE International New Circuits and Systems Conference (NEWCAS) · doi:10.1109/newcas.2014.6933991 · Cited by 8
A full-duplex wireless integrated transceiver for implant-to-air data communications
Mirbozorgi, S. A., Bahrami, H., Sawan, M., Rusch, L. A., & Gosselin, B. J. (2015) · Custom Integrated Circuits Conference · doi:10.1109/cicc.2015.7338430 · Cited by 8
Prasopsin, P., & Wattanapanitch, W. (2017) · International Journal of Circuit Theory and Applications · doi:10.1002/cta.2317 · Cited by 8
Design of Ultralow-Voltage High Speed Flash ADC in 45nm CMOS Technology
George, G., & Prakash, A. V. J. (2018) · IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology · doi:10.1109/rteict42901.2018.9012228 · Cited by 8
A 0.7-V, 2.86-µW low-noise logarithmic amplifier for neural recording system
Sundarasaradula, Y., & Thanachayanont, A. (2013) · IEEE Region 10 Conference (TENCON) · doi:10.1109/tencon.2013.6719073 · Cited by 8
Moosaei, A., Maghami, M. H., Nejati, A., Amiri, P., & Sawan, M. (2025) · Electronics · doi:10.3390/electronics14081543 · Cited by 8
Jia, Y., & Zhao, L. (2023) · IEEE Solid-State Circuits Magazine · doi:10.1109/mssc.2023.3305589 · Cited by 7
Tsai, J.-H., Wang, H.-H., Chen, Y., Wei, Y.-H., Kao, Y.-H., Yen, Y.-C., Huang, P.-C., Shen, M.-H., & Chen, H. (2014) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2014.2345304 · Cited by 7
Wireless powering and data communication for neural implantable electrodes
Venuto, D. D., & Rabaey, J. M. (2013) · International Workshop on Advances in Sensors and Interfaces (IWASI) · doi:10.1109/iwasi.2013.6576103 · Cited by 7
Self-citationA 300-mV ΔΣ Modulator Using a Gain-Enhanced, Inverter-Based Amplifier for Medical Implant Devices
Yeknami, A. F. (2016) · Journal of Low Power Electronics and Applications · doi:10.3390/jlpea6010004 · Cited by 7
A Low-Noise, Low-Power, Wide Dynamic Range Logarithmic Amplifier for Biomedical Applications
Sundarasaradula, Y., & Thanachayanont, A. (2017) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126618501049 · Cited by 7
Advances in Neural Recording and Stimulation Devices
Xu, J., Nguyen, A. T., & Yang, Z. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-813068-1.00013-0 · Cited by 7
A Low-power Low-noise Reconfigurable Bandwidth BiCMOS Neural Amplifier
Tasneem, N. T., & Mahbub, I. (2018) · IEEE Dallas Circuits and Systems Conference (DCAS) · doi:10.1109/dcas.2018.8620113 · Cited by 7
Kim, H., Park, Y.-H., Eom, K., & Park, S. (2021) · Electronics · doi:10.3390/electronics10161972 · Cited by 8
An Experimental Reliability Study of Pseudo-Resistors in Biomedical Applications
Reich, S., Fritschi, D., Sporer, M., & Ortmanns, M. (2022) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas48785.2022.9937987 · Cited by 7
A Clockless Method of Flicker Noise Suppression in Continuous-Time Acquisition of Biosignals
Maslik, M., Lande, T. S., & Constandinou, T. G. (2018) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2018.8584788 · Cited by 7
Analysing and measuring the performance of memristive integrating amplifiers
Wang, J., Serb, A., Papavassiliou, C., Maheshwari, S., & Prodromakis, T. (2021) · International Journal of Circuit Theory and Applications · doi:10.1002/cta.3101 · Cited by 8
A low-power analog front-end neural acquisition design for seizure detection
Tohidi, M. M., Madsen, J. K., Heck, M. J. R., & Moradi, F. (2016) · IFIP/IEEE International Conference on Very Large Scale Integration · doi:10.1109/vlsi-soc.2016.7753541 · Cited by 6
A Low-Power Low-Noise Biopotential Amplifier in 28 nm CMOS
Koleibi, E. R., Benhouria, M., Koua, K., Lemaire, W., Roy, S., & Fontaine, R. (2022) · IEEE Interregional NEWCAS Conference (NEWCAS) · doi:10.1109/newcas52662.2022.9842096 · Cited by 6
Wang, Q., You, C., Xue, N., Zhang, X., Feng, C., Zhao, Z., Yao, L., & Li, T. (2022) · Electronics Letters · doi:10.1049/ell2.12643 · Cited by 6
Digitally controlled feedback for DC offset cancellation in a wearable multichannel EMG platform
Tomasini, M., Benatti, S., Casamassima, F., Milosevic, B., Fateh, S., Farella, E., & Luca Benini, C. (2015) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7319070 · Cited by 6
Spin-torque memristor based offset cancellation technique for sense amplifiers
Atasoyu, M., Altun, M., Özoğuz, S., & Roy, K. (2017) · International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design · doi:10.1109/smacd.2017.7981595 · Cited by 6
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
Rout, S., & Serdijn, W. A. (2018) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2018.2817926 · Cited by 6
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
Willaredt, R., Grandauer, C., Dorigo, D. D., Kuhl, M., & Manoli, Y. (2025) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2025.3555007 · Cited by 5
Deep brain drug-delivery control using vagus nerve communications
Donohoe, M., Jennings, B., & Balasubramaniam, S. (2020) · Computer Networks · doi:10.1016/j.comnet.2020.107137 · Cited by 5
NeuroBus – Architecture and Communication Bus for an Ultra-Flexible Neural Interface
Sporer, M., Graber, N., Reich, S., Gueli, C., Becker, J., Stieglitz, T., & Ortmanns, M. (2023) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas46773.2023.10181816 · Cited by 5
Integrated 16-channel neural recording and stimulation circuit
Kursu, O., Vähäsöyrinki, M., & Rahkonen, T. E. (2015) · Analog Integrated Circuits and Signal Processing · doi:10.1007/s10470-015-0593-0 · Cited by 5
0.35 V time‐domain‐based instrumentation amplifier
Mohan, R., Yan, L., Gielen, G. E., Hoof, C. A. V., & Yazıcıoğlu, R. F. (2014) · Electronics Letters · doi:10.1049/el.2014.2471 · Cited by 5
Hu, H., & Gupta, S. (2021) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2021.3096838 · 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
Bahrami, E., & Shamsi, H. (2015) · Iranian Conference on Electrical Engineering · doi:10.1109/iraniancee.2015.7146403 · Cited by 5
A 13µW 87dB dynamic range implantable ΔΣ modulator for full-spectrum neural recording
Xu, J., Islam, M. K., Wang, S., & Yang, Z. (2013) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2013.6610113 · Cited by 5
Yu, I., Kim, H., Kang, S., Yoo, M., Wi, J., Nam, G., Choi, M., Son, M., & Ko, H. (2025) · Microelectronics Journal · doi:10.1016/j.mejo.2025.106857 · Cited by 4
Xu, J., Kanchwala, M., Abdolrazzaghi, M., Cai, H., Huang, Y. T., Ma, J., Lim, C., Xu, L., Gong, S., Deng, W., et al. (2025) · Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference · doi:10.1109/isscc49661.2025.10904733 · Cited by 4
Xu, X., Ye, S., Luan, Y., Gao, J., Li, J., Cui, J., & Shen, L. (2025) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2025.3564316 · 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
Data communication and power system for wireless neural recording
Venuto, D. D., & Rabaey, J. M. (2013) · IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) · doi:10.1109/etfa.2013.6648144 · Cited by 4
Self-citationA low-power current-reuse dual-band analog front-end for multi-channel neural signal recording
Sepehrian, H., & Gosselin, B. J. (2014) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2014.6944818 · Cited by 4
A 0.6V 1.07 μW/Channel neural interface IC using level-shifted feedback
Lyu, L., Wang, Y., Chen, C., & Shi, C. ‐. R. (2019) · Integration · doi:10.1016/j.vlsi.2019.11.001 · Cited by 4
Kumar, A., & Balanethiram, S. (2023) · International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT) · doi:10.1109/iconscept57958.2023.10170665 · Cited by 4
Zafarkhah, E., Zare, M., Anzabi-Nezhad, N. S., & Sohrabi, Z. (2024) · Analog Integrated Circuits and Signal Processing · doi:10.1007/s10470-023-02246-9 · Cited by 4
A 0.6V 119 dB High-CMRR Low-NEF PGA with common-mode voltage control for ECG recording
Dong, S., Zhang, R., Jing, C., & Yuan, M. (2024) · Microelectronics Journal · doi:10.1016/j.mejo.2024.106159 · Cited by 4
Chen, Y., Wang, X., Zhang, Y., & Pun, K. (2019) · IEICE Electronics Express · doi:10.1587/elex.16.20190170 · Cited by 4
Mishra, B., Thakkar, S., & Jain, N. (2019) · IET Computers & Digital Techniques · doi:10.1049/iet-cdt.2019.0027 · Cited by 4
A Power Efficient, High Gain and High Input Impedance Capacitively-coupled Neural Amplifier
Shad, E. H. T., Moeinfard, T., Molinas, M., & Ytterdal, T. (2020) · IEEE Nordic Circuits and Systems Conference (NorCAS) · doi:10.1109/norcas51424.2020.9265135 · Cited by 4
Ultra-low-power biomedical circuit design and optimization: Catching the don't cares
Li, X., Blanton, R. D., Grover, P., & Thomas, D. E. (2014) · International Symposium on Integrated Circuits · doi:10.1109/isicir.2014.7029551 · Cited by 4
A Wide-Dynamic-Range, DC-Coupled, Time-Based Neural-Recording IC With Optimized CCO Frequency
Youn, D., Kim, Y.-I., Choi, I., Jung, Y., Jeon, H., Lee, K., Kweon, S.-J., Ha, S., & Je, M. (2024) · IEEE Access · doi:10.1109/access.2024.3424228 · Cited by 3
Smart ballistocardiography front-end
Cathelain, G., Rivet, B., Achard, S., Bergounioux, J., & Jouen, F. (2020) · IEEE International Instrumentation and Measurement Technology Conference · doi:10.1109/i2mtc43012.2020.9128774 · Cited by 3
Analogue Front-End Design for Neural Recording
Maslik, M., Leene, L. B., & Constandinou, T. G. (2021) · Handbook of Neuroengineering · doi:10.1007/978-981-15-2848-4_20-1 · Cited by 3
Malekzadeh-Arasteh, O., Pu, H., Danesh, A. R., Lim, J., Wang, P. T., Liu, C. Y., Do, A. H., Nenadić, Z., & Heydari, P. (2021) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc46164.2021.9630058 · Cited by 3
A Review on Neural Amplifier Design for Brain–Machine Interface
Nath, S., Guha, K., & Baishnab, K. L. (2023) · Lecture notes in electrical engineering · doi:10.1007/978-981-99-4495-8_28 · Cited by 3
A 2-$\mu\mathrm{W}$, 0.64-$\mu\text{Vrms}$ ECG Recording Chopper Amplifier with Digital-Current DSL
Zeng, Y., Chen, Y., Bao, Y., & Chen, W. (2023) · IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) · doi:10.1109/mwscas57524.2023.10406088 · Cited by 3
Neural Recording Front-End Design
Liu, X., & der Spiegel, J. V. (2017) · Springer eBooks · doi:10.1007/978-3-319-67940-2_2 · Cited by 3
Implantable Monitoring System for Epilepsy
Türe, K., Dehollain, C., & Maloberti, F. (2020) · Analog circuits and signal processing/Analog circuits and signal processing series · doi:10.1007/978-3-030-40826-8_2 · Cited by 3
Integrated circuit for neural recording and stimulation
Kursu, O., & Rahkonen, T. E. (2014) · NORCHIP · doi:10.1109/norchip.2014.7004738 · Cited by 3
A 1.3-V, 9.1μW wide-dynamic range logarithmic amplifier for cochlear implant system
Sundarasaradula, Y., & Thanachayanont, A. (2014) · International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) · doi:10.1109/ecticon.2014.6839773 · Cited by 3
Ultra-Low-Power Biomedical Circuit Design and Optimization: Catching the Don’t Cares
Li, X., Blanton, R. D., Grover, P., & Thomas, D. E. (2017) · Springer eBooks · doi:10.1007/978-3-319-54840-1_7 · Cited by 3
Low-Power Biomedical Interfaces
Yazıcıoğlu, R. F., Xu, J., Mohan, R., Raducanu, B., Helleputte, N. V., López, C. M., Mitra, S., Pettine, J., van Wegberg, R., & Konijnenburg, M. (2015) · Springer eBooks · doi:10.1007/978-3-319-21185-5_5 · Cited by 3
Implantable Neural Sensors for Brain Machine Interface
Jang, J., Lee, J.-H., Kang, M., & Song, Y. (2015) · KAIST research series · doi:10.1007/978-94-017-9981-2_3 · Cited by 3
Design and Optimization of ICs for Wearable EEG Sensors
Xu, J., Mohan, R., Helleputte, N. V., & Mitra, S. (2017) · Springer eBooks · doi:10.1007/978-3-319-67723-1_7 · Cited by 3
Chen, Y., Chen, Y., & Guo, Y. (2020) · IEICE Electronics Express · doi:10.1587/elex.17.20200117 · Cited by 3
Shi, W., Zhang, J., Zhang, Z., Hu, L., & Su, Y. (2020) · Brain Science Advances · doi:10.26599/bsa.2020.9050024 · Cited by 3
A Wireless Fully Implantable DBS Device for Closed-Loop Neuromodulation Applications
Su, K., Qiu, Z., Xu, K., Xu, J., & Wang, Y. (2025) · IEEE Sensors Journal · doi:10.1109/jsen.2025.3549370 · Cited by 2
A 12.9 fA/rtHz Power-Efficient High-Dynamic-Range Current Front-End for Light-to-Digital Conversion
Yao, C.-Y., Gu, Y., Alamouti, S. F., Pandey, A., Kaveh, R., Bokuchava, M., & Muller, R. (2025) · doi:10.1109/esserc66193.2025.11214039 · Cited by 2
Self-citationSantos, C. G., Choi, D.-H., Ha, S., & Je, M. (2025) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2025.3639063 · Cited by 3
Technical Review: Neural Recording Circuits for Bidirectional Neural Interface
Jung, Y., Jeon, H., Lee, T., Seong, H. Y., Park, C., & Je, M. (2018) · IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) · doi:10.1109/icce-asia.2018.8552141 · Cited by 2
A high gain low noise amplifier for implantable cardio technologies
Lakshmi, P. V., Musala, S., & Srinivasulu, A. (2022) · Microsystem Technologies · doi:10.1007/s00542-022-05260-5 · Cited by 2
A 0.006 mm2 Low Input Capacitance Low Power Fully Differential Neural Amplifier
Sharma, S., Shivdeep, S., Sharma, N., & Das, D. M. (2024) · International Conference Mixed Design of Integrated Circuits and Systems · doi:10.23919/mixdes62605.2024.10613933 · Cited by 2
Sonoda, H., Miki, T., & Nagata, M. (2022) · Japanese Journal of Applied Physics · doi:10.35848/1347-4065/ac48d5 · Cited by 2
Artifact-Recovery in Neuromodulators using Tunable High-Pass Corners
Reich, S., Fritschi, D., Sporer, M., & Ortmanns, M. (2022) · IEEE Interregional NEWCAS Conference (NEWCAS) · doi:10.1109/newcas52662.2022.9842066 · Cited by 2
Han, D., & Zheng, Y. (2012) · IEEE Asian Solid-State Circuits Conference (A-SSCC) · doi:10.1109/ipec.2012.6522624 · Cited by 2
A 5 μW/channel 9b-ENOB BioADC array for electrocortical recording
Greenwald, E., So, E., Mollazadeh, M., Maier, C., Etienne‐Cummings, R., Thakor, N. V., & Cauwenberghs, G. (2015) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2015.7348309 · Cited by 2
Advances in Biomedical Sensor Systems for Wearable Health
Helleputte, N. V., Xu, J., Ha, H., van Wegberg, R., Song, S., Stanzione, S., Zaliasl, S., van den Hoven, R., Qiu, W., Xin, H., et al. (2017) · Springer eBooks · doi:10.1007/978-3-319-61285-0_7 · Cited by 2
Ultra Low Power Digital Front-End for Single Lead ECG Acquisition
Thakkar, S., & Mishra, B. (2019) · International Conference on VLSI Design · doi:10.1109/vlsid.2019.00044 · Cited by 2
A Low-power High-gain Inverter Stacking Amplifier with Rail-to-Rail Output
Shad, E. H. T., Moeinfard, T., Molinas, M., & Ytterdal, T. (2021) · IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) · doi:10.1109/dts52014.2021.9497971 · Cited by 1
Fathy, N. S. K., Vatsyayan, R., Bourhis, A. M., Dayeh, S. A., & Mercier, P. P. (2025) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2025.3560316 · Cited by 3
Diez-Clos, A., Huang, X., Monna, B., & Muratore, D. G. (2025) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas56072.2025.11044232 · Cited by 1
Integrated Bioelectronics for Precision Health Monitoring
Xu, Y., Lee, M. S., Balaji, A., Uppal, A., Djassemi, O., Zhang, Y., Zhao, H., & Cauwenberghs, G. (2025) · Springer eBooks · doi:10.1007/978-981-95-2117-3_12 · Cited by 2
Wiens, D.-P., Abdelaal, A., Driemeyer, B., Becker, J., Kauffman, J. G., & Ortmanns, M. (2025) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2025.3626825 · Cited by 1
Low-Power Design: The Berkeley Way: How energy morphed IC design
Chandrakasan, A. P., Otis, B. P., Muller, R., & Rabaey, J. (2026) · IEEE Solid-State Circuits Magazine · doi:10.1109/mssc.2025.3627079 · Cited by 1
Self-citationCircuits and Systems for Multi-Channel Neural Recording
Majidzadeh, V., & Schmid, A. (2013) · Springer eBooks · doi:10.1007/978-1-4614-6702-1_5 · Cited by 1
An inverter-based neural amplifier for neural spike detection
Kim, S., & Frey, U. (2013) · IFIP/IEEE International Conference on Very Large Scale Integration · doi:10.1109/vlsi-soc.2013.6673243 · Cited by 1
Transmission of wireless neural signals through a 0.18µm CMOS low-power amplifier
Gazziro, M., Braga, C. F. R., Moreira, D. A., de Carvalho, A. C. P. L. F., Rodrigues, J. F., Navarro, J., Ardila, J. C. M., Mioni, D. P., Pessatti, M. P., Fabbro, P. A. D., et al. (2015) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7319537 · Cited by 1
An analog front-end with fast motion artifact recovery for bio-signal recording
Jhong, Y.-T., & Huang, P.-C. (2016) · International Symposium on VLSI Design, Automation and Test · doi:10.1109/vlsi-dat.2016.7482573 · Cited by 1
Bortolotti, D., Bartolini, A., Luca Benini, C., Pamula, V. R., Helleputte, N. V., Hoof, C. A. V., Verhelst, M., Gemmeke, T., Braojos, R., Ansaloni, G., et al. (2016) · ACM International Conference on Computing Frontiers (CF) · doi:10.1145/2903150.2903469 · Cited by 1
Design considerations in development of wireless brain-implantable microsystems
Kassiri, H. (2017) · Conference proceedings - Canadian Conference on Electrical and Computer Engineering · doi:10.1109/ccece.2017.7946824 · Cited by 1
A Digital Active Electrode System
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_6 · Cited by 1
ECoG signal coding and digitization
Ha, S., Kim, C., Mercier, P. P., & Cauwenberghs, G. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-815115-0.00010-6 · Cited by 1
Electrical Biosensors: Biopotential Amplifiers
Zhang, F., Tan, Y., Holleman, J. H., & Otis, B. P. (2022) · Springer eBooks · doi:10.1007/978-1-4614-3447-4_24 · Cited by 1
Power Minimization in Neural Recording ΔΣ Modulators by Adaptive Back-Gate Voltage Tuning
Schüffny, F. M., Höppner, S., Hänzsche, S., George, R., Zeinolabedin, S. M. A., & Mayr, C. (2023) · IEEE Solid-State Circuits Letters · doi:10.1109/lssc.2023.3270243 · Cited by 1
Energy Harvester Powered Fully Digital ECG Front End Acquisition with Integrated TDC
Mishra, B., & Patel, P. (2023) · IEEE Asia Pacific Conference on Circuits and Systems (APCCAS) · doi:10.1109/apccas60141.2023.00080 · Cited by 1
Split-Voltage Configuration Improves Integrated Amplifier Power-Efficiency
Simmich, S., & Rieger, R. (2024) · Journal of Low Power Electronics and Applications · doi:10.3390/jlpea14030045 · Cited by 1
A Novel Current-Controlled Oscillator-Based Low-Supply-Voltage Microbolometer Readout Architecture
Gülden, M. A., Zencir, E., & Çavuş, E. (2019) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126620501698 · Cited by 1
Offset Rejection in a DC-Coupled Hybrid CMOS/Memristor Neural Front-End
Wang, J., Serb, A., Wang, S., & Prodromakis, T. (2022) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas48785.2022.9937701 · Cited by 1
A Low Noise and Low Dissipative Front-end Circuit for Wearable ECG
Chen, X., Zhang, J., & Zhang, Y. (2022) · International Conference on Manufacturing, Industrial Automation and Electronics (ICMIAE) · doi:10.1109/icmiae57032.2022.00024 · Cited by 1
Noise in Electronic Devices and Circuits
Tartagni, M. (2021) · Cambridge University Press eBooks · doi:10.1017/9781139629225.008 · Cited by 1
A sub-threshold voltage ladder rectifier for orthogonal current-reuse neural amplifier
Lee, C., Johnson, B. C., & Molnar, A. C. (2013) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2013.6679713
Metadata
- Authors
- Muller, R., Gambini, S., & Rabaey, J. M.
- Affiliations
- University of California, Berkeley (US)
- Venue
- IEEE Journal of Solid-State Circuits
- Published
- 2012-01
- Volume
- 47
- Issue
- 1
- Pages
- 232-243
- ISSN
- 0018-9200 (ISSN-L)
- 1558-173X
- OpenAlex
- W2003444784
- Cited by
- 338
- References
- 27
- Citations by year
- 2026: 11 · 2025: 23 · 2024: 18 · 2023: 21 · 2022: 22 · 2021: 26 · 2020: 26 · 2019: 25 · 2018: 34 · 2017: 28 · 2016: 25 · 2015: 26 · 2014: 26 · 2013: 20 · 2012: 7
- FWCI
- 10.04
- 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
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Keywords
- neural signal acquisition, low-power integrated circuits, local field potentials, digital-to-analog converter, noise folding, low-voltage operation, 65 nm CMOS, area-efficient circuit 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