A Fully Intraocular High-Density Self-Calibrating Epiretinal Prosthesis
Abstract
This paper presents a fully intraocular self-calibrating epiretinal prosthesis with 512 independent channels in 65 nm CMOS. A novel digital calibration technique matches the biphasic currents of each channel independently while the calibration circuitry is shared among every 4 channels. Dual-band telemetry for power and data with on-chip rectifier and clock recovery reduces the number of off-chip components. The rectifier utilizes unidirectional switches to prevent reverse conduction loss in the power transistors and achieves an efficiency > 80%. The data telemetry implements a phase-shift keying (PSK) modulation scheme and supports data rates up to 20 Mb/s. The system occupies an area of 4.5 ×3.1 mm². It features a pixel size of 0.0169 mm² and arbitrary waveform generation per channel. In vitro measurements performed on a Pt/Ir concentric bipolar electrode in phosphate buffered saline (PBS) are presented. A statistical measurement over 40 channels from 5 different chips shows a current mismatch with μ = 1.12 μA and σ = 0.53 μA. The chip is integrated with flexible MEMS origami coils and parylene substrate to provide a fully intraocular implant.
Integrity signals
Registry
Cites
Statistics
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?
Active charge balancing can be achieved by continuous adjustment of the source/sink currents with dynamic current copying in push-pull architectures, and by insertion of a short pulse train that instantaneously corrects the residual charge, or via compensation of the excess charge as an offset current.
“This can be achieved by continuous adjustment of the source/sink currents with dynamic current copying in pushpull architectures, [44], [66], and by insertion of a short pulse train that instantaneously corrects the residual charge, or via compensation of the excess charge as an offset current [135], [144].”
From Active Neural Interface Circuits and Systems for Selective Control of Peripheral Nerves: A Review (2024) · cites this paper as [135]
Cites
Neural Stimulation and Recording Electrodes
Cogan, S. F. (2008) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.10.061807.160518 · Cited by 2,243 · see citing works
Will Retinal Implants Restore Vision?
Zrenner, E. (2002) · Science · doi:10.1126/science.1067996 · Cited by 726 · see citing works
Stone, J. L. (1992) · Archives of Ophthalmology · doi:10.1001/archopht.1992.01080230134038 · Cited by 471 · see citing works
Photovoltaic retinal prosthesis with high pixel density
Mathieson, K., Loudin, J., Goetz, G. A., Huie, P., Wang, L., Kamins, T. I., Galambos, L., Smith, R., Harris, J. S., Sher, A., et al. (2012) · Nature Photonics · doi:10.1038/nphoton.2012.104 · Cited by 460 · see citing works
Weiland, J. D., Liu, W., & Humayun, M. S. (2005) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.7.060804.100435 · Cited by 371 · see citing works
Self-citationHigh PSR Low Drop-Out Regulator With Feed-Forward Ripple Cancellation Technique
El-Nozahi, M., Amer, A., Torres, J., et al. (2010) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2009.2039685 · Cited by 287 · see citing works
Stimulus waveforms for selective neural stimulation
Grill, W. M., & Mortimer, J. T. (1995) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/51.395310 · Cited by 280 · see citing works
An Integrated 256-Channel Epiretinal Prosthesis
Chen, K., Yang, Z., Hoang, L., Weiland, J. D., Humayun, M. S., & Liu, W. (2010) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2010.2055371 · Cited by 266 · see citing works
Self-citationMazzoni, F., Novelli, E., & Strettoi, E. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.4968-08.2008 · Cited by 245 · see citing works
Xu, J. R., Shepherd, R. K., Millard, R. E., & Clark, G. M. (1997) · Hearing Research · doi:10.1016/s0378-5955(96)00193-1 · Cited by 243 · see citing works
A 232-Channel Epiretinal Stimulator ASIC
Ortmanns, M., Rocke, A., Gehrke, M., & Tiedtke, H. J. (2007) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2007.908693 · Cited by 225 · see citing works
Noorsal, E., Sooksood, K., Xu, H., Hornig, R., Becker, J., & Ortmanns, M. (2012) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2011.2164667 · Cited by 212 · see citing works
Weiland, J. D., & Humayun, M. S. (2008) · Proceedings of the IEEE · doi:10.1109/jproc.2008.922589 · Cited by 179 · see citing works
Self-citationAn active approach for charge balancing in functional electrical stimulation.
Sooksood, K., Stieglitz, T., & Ortmanns, M. (2010) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2010.2040277 · Cited by 170 · see citing works
Suaning, G. J., & Lovell, N. H. (2001) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.909646 · Cited by 164 · see citing works
MORPHOMETRIC ANALYSIS OF THE MACULA IN EYES WITH DISCIFORM AGE-RELATED MACULAR DEGENERATION
KIM, S. Y., SADDA, S., PEARLMAN, J., HUMAYUN, M. S., de JUAN, E., MELIA, B. M., & GREEN, W. R. (2002) · Retina · doi:10.1097/00006982-200208000-00012 · Cited by 158 · see citing works
Self-citationNon-rectangular waveforms for neural stimulation with practical electrodes
Sahin, M., & Tie, Y. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/3/008 · Cited by 157 · see citing works
Sit, J.-J., & Sarpeshkar, R. (2007) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2007.911631 · Cited by 155 · see citing works
Rizzo, J. F., Wyatt, J. L., Humayun, M. S., de Juan, E., Liu, W., Chow, A. Y., Eckmiller, R., Zrenner, E., Yagi, T., & Abrams, G. W. (2001) · Ophthalmology · doi:10.1016/s0161-6420(00)00430-9 · Cited by 152 · see citing works
Self-citationNegi, S., Bhandari, R., Rieth, L. W., Wagenen, R. V., & Solzbacher, F. (2009) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2009.10.016 · Cited by 127 · see citing works
Predicting visual sensitivity in retinal prosthesis patients
Horsager, A., Greenwald, S. H., Weiland, J. D., Humayun, M. S., Greenberg, R. J., McMahon, M. J., Boynton, G. M., & Fine, I. (2009) · Investigative Opthalmology & Visual Science · doi:10.1167/iovs.08-2595 · Cited by 107 · see citing works
Self-citationA Power-Efficient Neural Tissue Stimulator With Energy Recovery
Kelly, S. K., & Wyatt, J. L. (2011) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2010.2076384 · Cited by 107 · see citing works
A Hermetic Wireless Subretinal Neurostimulator for Vision Prostheses
Kelly, S. K., Shire, D. B., Chen, J., Doyle, P., Gingerich, M. D., Cogan, S. F., Drohan, W. A., Behan, S., Theogarajan, L. S., Wyatt, J. L., et al. (2011) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2011.2165713 · Cited by 107 · see citing works
Efficiency Analysis of Waveform Shape for Electrical Excitation of Nerve Fibers
Wongsarnpigoon, A., Woock, J. P., & Grill, W. M. (2010) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2010.2047610 · Cited by 104 · see citing works
Liu, W., & Hurnayun, M. S. (2004) · Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference · doi:10.1109/isscc.2004.1332672 · Cited by 97 · see citing works
Chronic Electrical Stimulation of the Auditory Nerve using Non-charge-balanced Stimuli
Shepherd, R. K. (1999) · Acta Oto-Laryngologica · doi:10.1080/00016489950180621 · Cited by 82 · see citing works
A Low-Power Fully Implantable 15-Channel Retinal Stimulator Chip
Theogarajan, L. S. (2008) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2008.2004331 · Cited by 77 · see citing works
Stimulus Induced pH Changes in Cochlear Implants: An In Vitro and In Vivo Study
Huang, C. Q., Carter, P. M., & Shepherd, R. K. (2001) · Annals of Biomedical Engineering · doi:10.1114/1.1397793 · Cited by 74 · see citing works
Safety Ensuring Retinal Prosthesis With Precise Charge Balance and Low Power Consumption
Chun, H., Yang, Y., & Lehmann, T. (2013) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2013.2257171 · Cited by 69 · see citing works
Electrical properties of retinal–electrode interface
Shah, S., Hines, A., Zhou, D. D., Greenberg, R. J., Humayun, M. S., & Weiland, J. D. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/1/s04 · Cited by 55 · see citing works
Self-citationHigh Dynamic Range CMOS Imager Technologies for Biomedical Applications
Graf, H., Harendt, C., Engelhardt, T., Scherjon, C., Warkentin, K., Richter, H. H., & Burghartz, J. N. (2009) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2008.2007437 · Cited by 55 · see citing works
A System Verification Platform for High-Density Epiretinal Prostheses
Chen, K., Lo, Y., Yang, Z., Weiland, J. D., Humayun, M. S., & Liu, W. (2012) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2012.2200103 · Cited by 48 · see citing works
Self-citationPhotodiode Circuits for Retinal Prostheses
Loudin, J., Cogan, S. F., Mathieson, K., Sher, A., & Palanker, D. (2011) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2011.2144980 · Cited by 46 · see citing works
A Matching Technique for Biphasic Stimulation Pulse
Lee, E. K. F., & Lam, A. (2007) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2007.378031 · Cited by 41 · see citing works
Rothermel, A., Wieczorek, V., Liu, L., et al. (2008) · Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference · doi:10.1109/isscc.2008.4523098 · Cited by 33 · see citing works
A very-high output impedance current mirror for very-low voltage biomedical analog circuits
Tanguay, L., Sawan, M., & Savaria, Y. (2008) · IEEE Asia Pacific Conference on Circuits and Systems (APCCAS) · doi:10.1109/apccas.2008.4746105 · Cited by 29 · see citing works
Current Waveforms for Neural Stimulation-Charge Delivery With Reduced Maximum Electrode Voltage
Halpern, M. E., & Fallon, J. B. (2010) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2010.2053203 · Cited by 25 · see citing works
High performance 3-coil wireless power transfer system for the 512-electrode epiretinal prosthesis
Zhao, Y., Nandra, M. S., Yu, C., et al. (2012) · doi:10.1109/embc.2012.6347503 · Cited by 23 · see citing works
Self-citationTran, N., Skafidas, E. S., Yang, J., Bai, S., Fu, M., Ng, D., Halpern, M. E., & Mareels, I. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6091660 · Cited by 21 · see citing works
Jung, L. H., Shany, N., Lehmann, T., Preston, P., Lovell, N. H., & Suaning, G. J. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6091662 · Cited by 17 · see citing works
Efficacy of supra-choroidal, bipolar, electrical stimulation in a vision prosthesis
Wong, Y. T., Chen, S. C., Kerdraon, Y., Allen, P. J., McCombe, M. F., Morley, J. W., Lovell, N. H., & Suaning, G. J. (2008) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2008.4649525 · Cited by 14 · see citing works
A CMOS microchip-based retinal prosthetic device for large numbers of stimulation in wide area
Ohta, J., Noda, T., Sasagawa, K., Tokuda, T., Terasawa, Y., Kanda, H., & Fujikado, T. (2013) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2013.6571924 · Cited by 4 · see citing works
Light-controlled retinal stimulation on rabbit using CMOS-based flexible multi-chip stimulator
Tokuda, T., Takeuchi, Y., Noda, T., et al. (2009) · doi:10.1109/iembs.2009.5333809 · Cited by 4 · see citing works
Engineering development of a wireless subretinal prosthesis
Wyatt, J., Drohan, B., Yomtov, B., et al. (2005) · Journal of Vision · doi:10.1167/5.12.3 · Cited by 3 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Lewis, P. M., Ackland, H. M., Lowery, A. J., & Rosenfeld, J. V. (2015) · Brain Research · doi:10.1016/j.brainres.2014.11.020 · Cited by 228 · see citing works
A mm-Sized Wireless Implantable Device for Electrical Stimulation of Peripheral Nerves
Charthad, J., Chang, T. C., Liu, Z., Sawaby, A., Weber, M. J., Baker, S., Gore, F., Felt, S. A., & Arbabian, A. (2018) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2018.2799623 · Cited by 230 · see citing works
A Fully Integrated RF-Powered Energy-Replenishing Current-Controlled Stimulator
Ha, S., Kim, C., Park, J., Cauwenberghs, G., & Mercier, P. P. (2019) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2018.2881800 · Cited by 35 · see citing works
Retinal Stimulator ASIC Architecture Based on a Joint Power and Data Optical Link
Lemaire, W., Benhouria, M., Koua, K., Besrour, M., Gauthier, L.-P., Martin-Hardy, G., Rossignol, T., Roy, S., & Fontaine, R. (2021) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2020.3045141 · Cited by 32 · see citing works
CMOS stimulating chips capable of wirelessly driving 473 electrodes for a cortical vision prosthesis
Wong, Y. T., Feleppa, T., Mohan, A., Browne, D., Szlawski, J., Rosenfeld, J. V., & Lowery, A. (2019) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab021b · Cited by 27 · see citing works
Zhou, Y., Wang, K., Yin, S., Li, W.-Y., Meng, F., Wang, Z.-G., & Ma, K. (2024) · IEEE Transactions on Circuits and Systems I: Regular Papers · doi:10.1109/tcsi.2024.3376370 · Cited by 12 · see citing works
Active Neural Interface Circuits and Systems for Selective Control of Peripheral Nerves: A Review
Habibollahi, M., Jiang, D., Lancashire, H. T., & Demosthenous, A. (2024) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2024.3430038 · Cited by 11 · see citing works
“Another shortcoming of all passive solutions is the lack of control over the success of the discharge method [135], [145].”
- Authors
- Monge, M., Raj, M., Nazari, M. H., Chang, H.-C., Zhao, Y., Weiland, J. D., Humayun, M. S., Tai, Y.-C., & Emami, A.
- Affiliations
- California Institute of Technology (US)
- University of Southern California (US)
- Venue
- IEEE Transactions on Biomedical Circuits and Systems
- Published
- 2013-12
- Volume
- 7
- Issue
- 6
- Pages
- 747-760
- ISSN
- 1932-4545 (ISSN-L)
- 1940-9990
- OpenAlex
- W2090583902
- Cited by
- 85
- References
- 44
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 14 · 2023: 6 · 2022: 13 · 2021: 7 · 2020: 2 · 2019: 9 · 2018: 10 · 2017: 7 · 2016: 5 · 2015: 3 · 2014: 6
- FWCI
- 2.28
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Biomedical Circuits and Systems (publishedVersion)
- PubMed (publishedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Funders
- NSF Biomimetic MicroElectronic Systems¿Engineering Research Center (BMES-ERC)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
- Physical Sciences › Engineering › Electrical and Electronic Engineering › CCD and CMOS Imaging Sensors
- Keywords
- epiretinal prosthesis, intraocular implants, self-calibration, digital calibration, CMOS integrated circuit, phase-shift keying, bipolar electrodes, current mismatch, parylene substrate, flexible implants, retinal prosthesis
- MeSH terms
- Calibration, Electronics, Medical, Equipment Design, Humans, Models, Biological, Telemetry, Visual Prosthesis, Neural Prostheses
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