Universal Principles for Ultra Low Power and Energy Efficient Design
Abstract
Information is represented by the states of physical devices. It costs energy to transform or maintain the states of these physical devices. Thus, energy and information are deeply linked. This deep link allows the articulation of ten information-based principles for ultra low power design that apply to biology or electronics, to analog or digital systems, and to electrical or nonelectrical systems, at small or large scales. In this tutorial brief, we review these key principles along with examples of how they have been applied in practical electronic systems.
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Wearable biosensors face many fundamental challenges and technological gaps related to the scope, validation, stability and accuracy, along with power, communication and security/privacy issues.
“Wearable biosensors face many fundamental challenges and technological gaps related to the scope, validation, stability and accuracy, along with power (Box 1)1,42,157-167, communication (Box 2)1,168 and security/privacy issues (Box 3)1,169-172”
From Wearable biosensors for healthcare monitoring (2019) · cites this paper as [157]
Cites
Donoho, D. L. (2006) · IEEE Transactions on Information Theory · doi:10.1109/tit.2006.871582 · Cited by 23,994 · see citing works
Donoho, D. L. (2004) · Cited by 16,703 · see citing works
An Introduction to Systems Biology: Design Principles of Biological Circuits
Alon, U. (2006) · doi:10.1201/9781420011432 · Cited by 2,825 · see citing works
Analog VLSI and Neural Systems
Mead, C. (1989) · CaltechAUTHORS (California Institute of Technology) · Cited by 2,794 · see citing works
Analog VLSI Implementation of Neural Systems
(1989) · Kluwer international series in engineering and computer science · doi:10.1007/978-1-4613-1639-8 · Cited by 1,684 · see citing works
The Design of CMOS Radio-Frequency Integrated Circuits
(2004) · Microelectronics International · doi:10.1108/mi.2004.21821bae.001 · Cited by 1,456 · see citing works
Minimizing power consumption in digital CMOS circuits
Chandrakasan, A. P., & Brodersen, R. W. (1995) · Proceedings of the IEEE · doi:10.1109/5.371964 · Cited by 1,014 · see citing works
On the Effectiveness of Vibration-based Energy Harvesting
Roundy, S. (2005) · Journal of Intelligent Material Systems and Structures · doi:10.1177/1045389x05054042 · Cited by 656 · see citing works
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 · see citing works
Analog Versus Digital: Extrapolating from Electronics to Neurobiology
Sarpeshkar, R. (1998) · Neural Computation · doi:10.1162/089976698300017052 · Cited by 496 · see citing works
Self-citationThe design of CMOS radio-frequency integrated circuits, 2nd edition
Lee, T. H. (2004) · Communications Engineer · Cited by 489 · see citing works
Rabaey, J. (2009) · Integrated circuits and systems · doi:10.1007/978-0-387-71713-5 · Cited by 462 · see citing works
Charge‐Based MOS Transistor Modeling
Enz, C., & Vittoz, E. A. (2006) · Wiley eBooks · doi:10.1002/0470855460 · Cited by 419 · see citing works
The Fundamental Physical Limits of Computation
Bennett, C. H., & Landauer, R. W. (1985) · Scientific American · doi:10.1038/scientificamerican0785-48 · Cited by 415 · see citing works
Ultra Low Power Bioelectronics
Sarpeshkar, R. (2010) · Cambridge University Press eBooks · doi:10.1017/cbo9780511841446 · Cited by 290 · see citing works
Self-citationComparator-based switched-capacitor circuits for scaled CMOS technologies
Sepke, T., Fiorenza, J. K., Sodini, C. G., Holloway, P., & Lee, H.-S. (2006) · Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference · doi:10.1109/isscc.2006.1696121 · Cited by 243 · see citing works
Charge-Based MOS Transistor Modeling - The EKV Model for Low-Power and RF IC Design
Enz, C., & Vittoz, E. A. (2006) · Cited by 238 · see citing works
Comparator-Based Switched-Capacitor Circuits for Scaled CMOS Technologies
Fiorenza, J. K., Sepke, T., Holloway, P., Sodini, C. G., & Lee, H.-S. (2006) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2006.884330 · Cited by 238 · see citing works
Ultra Low Power Bioelectronics: Fundamentals, Biomedical Applications, and Bio-Inspired Systems
Sarpeshkar, R. (2010) · Cited by 214 · see citing works
Self-citationAn Ultra-Low-Power Programmable Analog Bionic Ear Processor
Sarpeshkar, R., Salthouse, C. D., Sit, J., Baker, M., Zhak, S. M., Lu, T. K., Turicchia, L., & Balster, S. (2005) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2005.844043 · Cited by 173 · see citing works
Self-citationA Low-Power Wide-Linear-Range Transconductance Amplifier
Sarpeshkar, R., Lyon, R. F., & Mead, C. (1997) · Analog Integrated Circuits and Signal Processing · doi:10.1023/a:1008292213687 · Cited by 162 · see citing works
Self-citationA 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
Arfin, S. K., & Sarpeshkar, R. (2012) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2011.2166072 · Cited by 133 · see citing works
Self-citationCompanding in signal processing
Tsividis, Y., Gopinathan, V., & Tóth, L. F. (1990) · Electronics Letters · doi:10.1049/el:19900858 · Cited by 124 · see citing works
Low-Power Circuits for Brain–Machine Interfaces
Sarpeshkar, R., Wattanapanitch, W., Arfin, S. K., Rapoport, B. I., Mandal, S., Baker, M. W., Fee, M. S., Musallam, S., & Andersen, R. A. (2008) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2008.2003198 · Cited by 91 · see citing works
Self-citationFast cochlear amplification with slow outer hair cells
Lu, T. K., Zhak, S. M., Dallos, P., & Sarpeshkar, R. (2006) · Hearing Research · doi:10.1016/j.heares.2006.01.018 · Cited by 68 · see citing works
Self-citationA Bio-Inspired Ultra-Energy-Efficient Analog-to-Digital Converter for Biomedical Applications
Yang, H. Y., & Sarpeshkar, R. (2006) · IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications · doi:10.1109/tcsi.2006.884463 · Cited by 67 · see citing works
Self-citationLearning on Silicon: Adaptive VLSI Neural Systems
Bayoumi, M., & Cauwenberghs, G. (1999) · Kluwer Academic Publishers eBooks · Cited by 61 · see citing works
A Bio-Inspired Active Radio-Frequency Silicon Cochlea
Mandal, S., Zhak, S. M., & Sarpeshkar, R. (2009) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2009.2020465 · Cited by 59 · see citing works
Self-citationA low-power high-psrr current-mode microphone preamplifier
Baker, M., & Sarpeshkar, R. (2003) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2003.817255 · Cited by 51 · see citing works
Self-citationLow-Power Single-Loop and Dual-Loop AGCs for Bionic Ears
Baker, M., & Sarpeshkar, R. (2006) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2006.880599 · Cited by 46 · see citing works
Self-citationA Micropower Logarithmic A/D With Offset and Temperature Compensation
Sit, J., & Sarpeshkar, R. (2004) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2003.821777 · Cited by 38 · see citing works
Self-citationSingle-Capacitor Active-Feedback Compensation for Small-Capacitive-Load Three-Stage Amplifiers
Guo, S., & Lee, H. (2009) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2009.2027954 · Cited by 35 · see citing works
Scalable Hybrid Computation with Spikes
Sarpeshkar, R., & O'Halloran, M. (2002) · Neural Computation · doi:10.1162/089976602320263971 · Cited by 31 · see citing works
Self-citationA Cochlear-Implant Processor for Encoding Music and Lowering Stimulation Power
Sit, J., & Sarpeshkar, R. (2008) · IEEE Pervasive Computing · doi:10.1109/mprv.2008.3 · Cited by 19 · see citing works
Self-citation
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Kim, J., Campbell, A. S., de Ávila, B. E.-F., & Wang, J. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0045-y · Cited by 3,373 · see citing works
Wearable Chemical Sensors: Present Challenges and Future Prospects
Bandodkar, A. J., Jeerapan, I., & Wang, J. (2016) · ACS Sensors · doi:10.1021/acssensors.6b00250 · Cited by 778 · see citing works
Sterling, P., & Laughlin, S. (2015) · doi:10.7551/mitpress/9780262028707.001.0001 · Cited by 482 · see citing works
Mayer, M., & Baeumner, A. J. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00719 · Cited by 306 · see citing works
Sarpeshkar, R. (2014) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2013.0110 · Cited by 112 · see citing works
Self-citationSynthetic Biology: A Unifying View and Review Using Analog Circuits
Teo, J. J. Y., Woo, S. S., & Sarpeshkar, R. (2015) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2015.2461446 · Cited by 76 · see citing works
Self-citationdos Santos, C. C., Lucena, G. N., Pinto, G. C., Jafelicci, M., & Marques, R. F. C. (2020) · Medical Devices & Sensors · doi:10.1002/mds3.10130 · Cited by 65 · see citing works
Low-power technologies for wearable telecare and telehealth systems: A review
Wang, C., Lü, W., Narayanan, M. R., Redmond, S. J., & Lovell, N. H. (2015) · Biomedical Engineering Letters · doi:10.1007/s13534-015-0174-2 · Cited by 57 · see citing works
Bioelectronics for Amperometric Biosensors
Punter-Villagrasa, J., Colomer‐Farrarons, J., & Miribel‐Català, P. L. (2013) · InTech eBooks · doi:10.5772/52248 · Cited by 26 · see citing works
A Review on Energy Efficient CMOS Digital Logic
Dokić, B. L. (2013) · Engineering Technology & Applied Science Research · doi:10.48084/etasr.389 · Cited by 21 · see citing works
Valtierra, J. L., Delgado‐Restituto, M., Fiorelli, R., & Rodriguez-Vazquez, A. (2020) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2020.2968087 · Cited by 20 · see citing works
System-Level Power Consumption Analysis of the Wearable Asthmatic Wheeze Quantification
Oletić, D., & Bilas, V. (2018) · Journal of Sensors · doi:10.1155/2018/6564158 · Cited by 19 · see citing works
An Ultra-Low-Power RFID/NFC Frontend IC Using 0.18 μm CMOS Technology for Passive Tag Applications
Bhattacharyya, M., Gruenwald, W., Jansen, D., Reindl, L. M., & Aghassi‐Hagmann, J. (2018) · Sensors · doi:10.3390/s18051452 · Cited by 14 · see citing works
Casson, A. J. (2015) · Sensors · doi:10.3390/s151229897 · Cited by 11 · see citing works
A Survey of Analog Computing for Domain-Specific Accelerators
Belostotski, L., Uddin, A., Madanayake, A., & Mandal, S. (2025) · Electronics · doi:10.3390/electronics14163159 · Cited by 7 · see citing works
Design of a Programmable Passive SoC for Biomedical Applications Using RFID ISO 15693/NFC5 Interface
Bhattacharyya, M., Gruenwald, W., Jansen, D., Reindl, L. M., & Aghassi‐Hagmann, J. (2018) · Journal of Low Power Electronics and Applications · doi:10.3390/jlpea8010003 · Cited by 7 · see citing works
A Current-Mode Discrete-Time Analog Computer for Solving Maxwell's Equations in 2D
Liang, J., Tang, X., Hariharan, S. I., Madanayake, A., & Mandal, S. (2023) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas46773.2023.10181853 · Cited by 6 · see citing works
Panchal, D., & Naik, A. (2020) · IEEE India Conference · doi:10.1109/indicon49873.2020.9342420 · Cited by 6 · see citing works
The receiver circuit for ultra-wideband integral pulse frequency modulated wireless sensor
Matić, T., Herceg, M., Job, J., & Sneler, L. (2016) · International Conference on Modern Circuits and Systems Technologies · doi:10.1109/mocast.2016.7495136 · Cited by 4 · see citing works
Integrated Analog Computers as Domain-Specific Accelerators: A Tutorial Review
Mandal, S., Liang, J., Malavipathirana, H., Udayanga, N., Silva, H., Hariharan, S. I., & Madanayake, A. (2024) · IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) · doi:10.1109/mwscas60917.2024.10658915 · Cited by 3 · see citing works
Weißbrich, M., Meyer, A., Dossanov, A., Іссаков, В., & Vayá, G. P. (2024) · IEEE Nordic Circuits and Systems Conference (NorCAS) · doi:10.1109/norcas64408.2024.10752476 · Cited by 3 · see citing works
Ultra-wideband transmitter based on integral pulse frequency modulator
Matić, T., Herceg, M., Job, J., & Sneler, L. (2016) · International Convention on Information and Communication Technology, Electronics and Microelectronics · doi:10.1109/mipro.2016.7522115 · Cited by 3 · see citing works
Panchal, D., & Naik, A. (2020) · International Conference on Communication and Electronics Systems (ICCES) · doi:10.1109/icces48766.2020.9138036 · Cited by 2 · see citing works
Towards Ultra-low Power Bio-inspired Processing
Shepherd, L. M., Constandinou, T. G., & Toumazou, C. (2014) · Springer eBooks · doi:10.1007/978-1-4471-6374-9_7 · Cited by 2 · see citing works
Analytic models of CMOS logic in various regimes
Dokić, B. L., Pesic-Brdjanin, T., & Dabic, R. (2014) · Serbian Journal of Electrical Engineering · doi:10.2298/sjee140106022d · Cited by 2 · see citing works
Optimally designed moderately inverted double gate SOI MOSFETs for low-power RFICs
Ghosh, D., Parihar, M. S., Armstrong, G. A., & Kranti, A. (2012) · Semiconductor Science and Technology · doi:10.1088/0268-1242/27/12/125004 · Cited by 2 · see citing works
Miniaturized Electrochemical (Bio)sensing Devices Going Wearable
Faustino, L. C., Cunha, J. P. C., de Andrade, A. P. S., Bezerra, E. F. S., Luz, R. A. S., & Gerôncio, E. T. S. (2022) · Springer eBooks · doi:10.1007/978-3-030-97921-8_3 · Cited by 2 · see citing works
Lin, J.-J., Chen, H.-Y., Ho, S., Lin, X., Chu, G., Abualnaja, F., Lin, Z., Hsieh, Y. L., Chang, K.-E., Wu, C. L., et al. (2026) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.6c04479 · Cited by 1 · see citing works
Power reduction methodology in 28nm SOC production design — What have changed?
Shi, K. (2013) · IEEE Faible Tension Faible Consommation · doi:10.1109/ftfc.2013.6577757 · Cited by 1 · see citing works
Sleep transistor design in 28nm CMOS technology
Shi, K. (2013) · IEEE International SOC Conference (SOCC) · doi:10.1109/socc.2013.6749701 · Cited by 1 · see citing works
Low-voltage low-power CMOS design
Dokić, B. L., Pesic-Brdjanin, T., & Cavka, D. (2016) · IEEE International Symposium on Industrial Electronics (ISIE) · doi:10.1109/indel.2016.7797813 · Cited by 1 · see citing works
Hybrid Circuit Actuator Design for Ship Course Control Experiment
Li, J., Bao, Y., Sun, M., Liu, S., & Chen, Z. (2022) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2022.3170948 · Cited by 1 · see citing works
Efficiency in neural information processing
Knuutila, A. (2012) · Työväentutkimus Vuosikirja
Design of Lock-in Amplifier Used on the Photoacoustic Spectroscopy
Liu, Y., Song, J., Chen, L., & Pan, S. (2013) · Journal of Convergence Information Technology · doi:10.4156/jcit.vol8.issue6.112
Mendez, A., & Sawan, M. (2015) · Elsevier eBooks · doi:10.1016/b978-0-323-26208-8.00004-2
Challenges and Opportunities in Wearable Biomedical Interfaces
Pamula, V. R., Hoof, C. A. V., & Verhelst, M. (2019) · Analog circuits and signal processing/Analog circuits and signal processing series · doi:10.1007/978-3-030-05870-8_1
CEAZA mega board: an open-source data logger for scientists
Gallardo, A., Nelson, C. O., & MacDonell, S. A. (2022) · International Journal of Reconfigurable and Embedded Systems (IJRES) · doi:10.11591/ijres.v11.i2.pp175-187
Weißbrich, M., Dossanov, A., Kudabay, Y., Meyer, A., Іссаков, В., & Vayá, G. P. (2025) · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · doi:10.1109/tvlsi.2025.3592977
Faster Training of Tsetlin Machines With Deterministic Multi-Step Automata
Roland, M. H., Aunet, S., & Yakovlev, A. (2025) · International Symposium on the Tsetlin Machine (ISTM) · doi:10.1109/istm67926.2025.00016
- Authors
- Sarpeshkar, R.
- Affiliations
- Massachusetts Institute of Technology (US)
- Corresponding author
- Sarpeshkar, R.
- ORCID
- Sarpeshkar, R.
- Venue
- IEEE Transactions on Circuits and Systems II: Express Briefs
- Published
- 2012-04
- Volume
- 59
- Issue
- 4
- Pages
- 193-198
- ISSN
- 1549-7747 (ISSN-L)
- 1558-3791
- OpenAlex
- W2022411221
- Cited by
- 40
- References
- 35
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 2 · 2023: 1 · 2022: 3 · 2020: 4 · 2019: 3 · 2018: 3 · 2016: 5 · 2015: 5 · 2014: 3 · 2013: 5 · 2012: 2
- FWCI
- 3.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Circuits & Systems II Express Briefs (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Low-power high-performance VLSI design
- Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
- Keywords
- ultra-low power design, energy efficiency
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