CMOS stimulating chips capable of wirelessly driving 473 electrodes for a cortical vision prosthesis
Abstract
OBJECTIVE: Implantable neural stimulating and recording devices have the potential to restore capabilities such as vision or motor control to disabled patients, improving quality of life. Implants with a large number of stimulating electrodes typically utilize implanted batteries and/or subcutaneous wiring to deal with their high-power consumption and high data throughput needed to address all electrodes with low latency. The use of batteries places severe limitations on the implant's size, usable duty cycle, device longevity while subcutaneous wiring increases the risk of infection and mechanical damage due to device movement. APPROACH: To overcome these limitations, we have designed and implemented a system that supports up to 473 implanted stimulating microelectrodes, all wirelessly powered and individually controlled by micropower application specific integrated circuits (ASICs). MAIN RESULTS: Each ASIC controls 43 electrodes and draws 3.18 mW of power when stimulating through 24 channels. We measured the linearity of the digital-to-analog convertors (DACs) to be 0.21 LSB (integrated non-linearity) and the variability in timing of stimulation pulses across ASICs to be 172 ns. SIGNIFICANCE: This work demonstrates the feasibility of a new low power ASIC designed to be implanted in the visual cortex of humans. The fully implantable device will greatly reduce the risks of infection and damage due to mechanical issues.
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Inductive power transfer seems to be the preferred solution for high-resolution intra-cortical stimulation due to the small distance between the transmitter and the receiver.
“Among the approaches under investigation, inductive power transfer seems to be the preferred solution for high-resolution intra-cortical stimulation [202] due to the small distance between the transmitter and the receiver.”
From Advances in visual prostheses: engineering and biological challenges (2022) · cites this paper as [202]
Cites
A randomized trial of deep-brain stimulation for Parkinson's disease.
Deuschl, G., Schade-Brittinger, C., Krack, P., Volkmann, J., Schäfer, H., Bötzel, K., Daniels, C., Deutschländer, A., Dillmann, U., Eisner, W., et al. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa060281 · Cited by 2,919 · see citing works
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 · see citing works
Visual field maps in human cortex.
Wandell, B. A., Dumoulin, S. O., & Brewer, A. A. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.012 · Cited by 1,231 · see citing works
The sensations produced by electrical stimulation of the visual cortex
Brindley, G. S., & Lewin, W. S. (1968) · The Journal of Physiology · doi:10.1113/jphysiol.1968.sp008519 · Cited by 1,170 · see citing works
The Representation of the Visual Field in Human Striate Cortex
Horton, J. C. (1991) · Archives of Ophthalmology · doi:10.1001/archopht.1991.01080060080030 · Cited by 715 · see citing works
Intracortical microstimulation of human somatosensory cortex
Flesher, S. N., Collinger, J. L., Foldes, S. T., Weiss, J. M., Downey, J. E., Tyler-Kabara, E. C., Bensmaia, S. J., Schwartz, A. B., Boninger, M. L., & Gaunt, R. A. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aaf8083 · Cited by 704 · see citing works
(1995) · Neurology · doi:10.1212/wnl.45.2.224 · Cited by 673 · see citing works
Schmidt, E. M., Bak, M. J., Hambrecht, F. T., Kufta, C. V., O'Rourke, D. K., & Vallabhanath, P. (1996) · Brain · doi:10.1093/brain/119.2.507 · Cited by 672 · see citing works
Maynard, E. M., Nordhausen, C. T., & Normann, R. A. (1997) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/s0013-4694(96)95176-0 · Cited by 640 · see citing works
Failure mode analysis of silicon-based intracortical microelectrode arrays in non-human primates
Barrese, J. C., Rao, N., Paroo, K., Triebwasser, C., Vargas-Irwin, C., Franquemont, L., & Donoghue, J. P. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/6/066014 · Cited by 600 · see citing works
Artificial Vision for the Blind by Connecting a Television Camera to the Visual Cortex
Dobelle, W. H. (2000) · ASAIO Journal · doi:10.1097/00002480-200001000-00002 · Cited by 584 · see citing works
Fully Implanted Brain–Computer Interface in a Locked-In Patient with ALS
Vansteensel, M. J., Pels, E. G. M., Bleichner, M. G., Branco, M. P., Denison, T., Freudenburg, Z. V., Gosselaar, P., Leinders, S., Ottens, T. H., Van Den Boom, M. A., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1608085 · Cited by 578 · see citing works
Dobelle, W. H., Mladejovsky, M. G., & Girvin, J. P. (1974) · Science · doi:10.1126/science.183.4123.440 · Cited by 440 · see citing works
The topography and variability of the primary visual cortex in man
Stensaas, S. S., Eddington, D. K., & Dobelle, W. H. (1974) · Journal of neurosurgery · doi:10.3171/jns.1974.40.6.0747 · Cited by 420 · see citing works
A neural interface for a cortical vision prosthesis
Normann, R. A., Maynard, E. M., Rousche, P. J., & Warren, D. J. (1999) · Vision Research · doi:10.1016/s0042-6989(99)00040-1 · Cited by 411 · see citing works
Human cortical magnification factor and its relation to visual acuity
Cowey, A., & Rolls, E. T. (1974) · Experimental Brain Research · doi:10.1007/bf00237163 · Cited by 406 · see citing works
Subretinal visual implant alpha IMS - clinical trial interim report
Stingl, K., Bartz-Schmidt, K. U., Besch, D., Chee, C. K., Cottriall, C. L., Gekeler, F., Groppe, M., Jackson, T. L., MacLaren, R. E., Koitschev, A., et al. (2015) · Vision Research · doi:10.1016/j.visres.2015.03.001 · Cited by 387 · see citing works
Tissue damage thresholds during therapeutic electrical stimulation
Cogan, S. F., Ludwig, K. A., Welle, C. G., & Takmakov, P. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/2/021001 · Cited by 386 · see citing works
Closed-loop stimulation of temporal cortex rescues functional networks and improves memory
Ezzyat, Y., Wanda, P. A., Levy, D. F., Kadel, A., Aka, A., Pedisich, I., Sperling, M. R., Sharan, A. D., Lega, B. C., Burks, A., et al. (2018) · Nature Communications · doi:10.1038/s41467-017-02753-0 · Cited by 347 · see citing works
Visual sensations produced by intracortical microstimulation of the human occipital cortex
Bak, M., Girvin, J. P., Hambrecht, F. T., Kufta, C. V., Loeb, G. E., & Schmidt, E. M. (1990) · Medical & Biological Engineering & Computing · doi:10.1007/bf02442682 · Cited by 299 · 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
A Power-Efficient Wireless System With Adaptive Supply Control for Deep Brain Stimulation
Lee, H., Park, H., & Ghovanloo, M. (2013) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2013.2266862 · Cited by 231 · see citing works
Cochlear Implant Programming: A Global Survey on the State of the Art
Vaerenberg, B., Smits, C., Ceulaer, G. D., et al. (2014) · The Scientific World JOURNAL · doi:10.1155/2014/501738 · Cited by 182 · see citing works
Facial Recognition Using Simulated Prosthetic Pixelized Vision
Thompson, R. W., Barnett, G. D., Humayun, M. S., & Dagnelie, G. (2003) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.03-0341 · Cited by 176 · see citing works
Simulating prosthetic vision: I. Visual models of phosphenes
Chen, S. C., Suaning, G. J., Morley, J. W., & Lovell, N. H. (2009) · Vision Research · doi:10.1016/j.visres.2009.02.003 · Cited by 172 · 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
Clark, G. M. (2015) · Hearing Research · doi:10.1016/j.heares.2014.08.002 · Cited by 161 · see citing works
A Modular 32-site wireless neural stimulation microsystem
Ghovanloo, M., & Najafi, K. (2004) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2004.837026 · Cited by 149 · see citing works
A Wireless Implantable Multichannel Microstimulating System-on-a-Chip With Modular Architecture
Ghovanloo, M., & Najafi, K. (2007) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2007.903970 · Cited by 137 · see citing works
A Highly Flexible System for Microstimulation of the Visual Cortex: Design and Implementation
Coulombe, J., Sawan, M., & Gervais, J.-F. (2007) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2007.916026 · Cited by 129 · see citing works
Beck, H., Boden, W. E., Patibandla, S., Kireyev, D., Gupta, V., Campagna, F., CAIN, M. E., & Marine, J. E. (2010) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2010.04.043 · Cited by 125 · see citing works
Lewis, P. M., & Rosenfeld, J. V. (2016) · Brain Research · doi:10.1016/j.brainres.2015.08.038 · Cited by 107 · see citing works
Self-citationWinawer, J., & Parvizi, J. (2016) · Neuron · doi:10.1016/j.neuron.2016.11.008 · Cited by 95 · see citing works
Davis, T. S., Parker, R. A., House, P. A., Bagley, E. E., Wendelken, S., Normann, R. A., & Greger, B. E. (2012) · Journal of Neural Engineering · doi:10.1088/1741-2560/9/6/065003 · Cited by 91 · see citing works
Torab, K., Davis, T. S., Warren, D. J., House, P. A., Normann, R. A., & Greger, B. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/3/035001 · Cited by 90 · see citing works
Shapiro, W. H., & Bradham, T. S. (2011) · Otolaryngologic Clinics of North America · doi:10.1016/j.otc.2011.08.020 · Cited by 89 · see citing works
A Fully Intraocular High-Density Self-Calibrating Epiretinal Prosthesis
Monge, M., Raj, M., Nazari, M. H., Chang, H.-C., Zhao, Y., Weiland, J. D., Humayun, M. S., Tai, Y.-C., & Emami, A. (2013) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2014.2298334 · Cited by 85 · see citing works
Left ventricular assist device driveline infections: recent advances and future goals.
Leuck, A.-M. (2015) · PubMed · doi:10.3978/j.issn.2072-1439.2015.11.06 · Cited by 82 · see citing works
Neurobionics and the brain–computer interface: current applications and future horizons
Rosenfeld, J. V., & Wong, Y. T. (2017) · The Medical Journal of Australia · doi:10.5694/mja16.01011 · Cited by 79 · see citing works
Saturation in phosphene size with increasing current levels delivered to human visual cortex
Bosking, W. H., Sun, P., Ozker, M., Pei, X., Foster, B. L., Beauchamp, M. S., & Yoshor, D. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.2896-16.2017 · Cited by 75 · see citing works
Simulating prosthetic vision: II. Measuring functional capacity
Chen, S. C., Suaning, G. J., Morley, J. W., & Lovell, N. H. (2009) · Vision Research · doi:10.1016/j.visres.2009.07.003 · Cited by 59 · see citing works
Schiller, P. H., Slocum, W. M., Kwak, M. C., Kendall, G. L., & Tehovnik, E. J. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1108337108 · Cited by 54 · see citing works
A CMOS retinal neurostimulator capable of focussed, simultaneous stimulation
Dommel, N., Wong, Y. T., Lehmann, T., Dodds, C. W. D., Lovell, N. H., & Suaning, G. J. (2009) · Journal of Neural Engineering · doi:10.1088/1741-2560/6/3/035006 · Cited by 54 · see citing works
Genç, E., Bergmann, J., Singer, W., & Kohler, A. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht342 · Cited by 41 · see citing works
High channel count single-unit recordings from nonhuman primate frontal cortex
Mitz, A. R., Bartolo, R., Saunders, R. C., Browning, P. G. F., TALBOT, T. L., & Averbeck, B. B. (2017) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2017.07.001 · Cited by 37 · see citing works
Restoration of vision using wireless cortical implants: The Monash Vision Group project
Lowery, A. J., Rosenfeld, J. V., Lewis, P., Browne, D. C., Mohan, A., Brunton, E., Yan, E. B., Maller, J. J., Mann, C., Rajan, R., et al. (2015) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7318543 · Cited by 35 · see citing works
Approaches to a cortical vision prosthesis: implications of electrode size and placement
Christie, B. P., Ashmont, K. R., House, P. A., & Greger, B. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/2/025003 · Cited by 26 · see citing works
Cortical magnification plus cortical plasticity equals vision?
Born, R. T., Trott, A., & Hartmann, T. S. (2014) · Vision Research · doi:10.1016/j.visres.2014.10.002 · Cited by 24 · see citing works
Face recognition in simulated prosthetic vision: face detection-based image processing strategies
Wang, J., Wu, X., Lü, Y., Wu, H., Kan, H., & Chai, X. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/4/046009 · Cited by 23 · see citing works
Prediction of cortical responses to simultaneous electrical stimulation of the retina
Halupka, K. J., Shivdasani, M. N., Cloherty, S. L., Grayden, D. B., Wong, Y. T., Burkitt, A. N., & Hamish Meffin, A. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/14/1/016006 · Cited by 21 · see citing works
Spectral distribution of local field potential responses to electrical stimulation of the retina
Wong, Y. T., Halupka, K., Kameneva, T., Cloherty, S. L., Grayden, D. B., Burkitt, A. N., Meffin, H., & Shivdasani, M. N. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/3/036003 · Cited by 16 · see citing works
Mao, D., Innes-Brown, H., Petoe, M. A., Wong, Y. T., & McKay, C. M. (2018) · Hearing Research · doi:10.1016/j.heares.2018.09.006 · Cited by 14 · see citing works
Redouté, J., Browne, D. C., Fitrio, D., Lowery, A. J., & Kleeman, L. (2013) · Microelectronics Journal · doi:10.1016/j.mejo.2013.02.018 · Cited by 5 · see citing works
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Farnum, A., & Pelled, G. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00036 · Cited by 58 · see citing works
Ali, R., Cho, Y., Shah, I. A., et al. (2024) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2024.3423436 · Cited by 49 · see citing works
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Borda, E., & Ghezzi, D. (2022) · Progress in Biomedical Engineering · doi:10.1088/2516-1091/ac812c · Cited by 44 · see citing works
Rosenfeld, J. V., Wong, Y. T., Yan, E., Szlawski, J., Mohan, A., Clark, J. C., Rosa, M., & Lowery, A. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab9e1c · Cited by 35 · see citing works
Liu, X., Chen, P., Ding, X., Liu, A., Li, P., Sun, C., & Guan, H. (2022) · Annals of Translational Medicine · doi:10.21037/atm-22-2858 · Cited by 28 · see citing works
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Feyerick, M., & Dehaene, W. (2023) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2023.3287294 · Cited by 17 · see citing works
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Rosenfeld, J. V., Wong, Y. T., Szlawski, J., & Gutman, M. (2023) · Handbook of Neuroengineering · doi:10.1007/978-981-16-5540-1_38
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Wang, H. Z., & Wong, Y. T. (2024) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc53108.2024.10782366
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- Authors
- Wong, Y. T., Feleppa, T., Mohan, A., Browne, D., Szlawski, J., Rosenfeld, J. V., & Lowery, A.
- Affiliations
- Monash University (AU)
- Australian Research Council (AU)
- Corresponding author
- Wong, Yan T
- Feleppa, Timothy
- Mohan, Anand
- Browne, Damien
- Szlawski, Julian
- Rosenfeld, Jeffrey V
- Lowery, Arthur
- Venue
- Journal of Neural Engineering
- Publisher
- IOP Publishing
- Published
- 2019-02-19
- Volume
- 16
- Issue
- 2
- Pages
- 026025
- ISSN
- 1741-2552 (ISSN-L)
- 1741-2560
- OpenAlex
- W2911837683
- Cited by
- 27
- References
- 53
- Citations by year
- 2026: 4 · 2025: 1 · 2024: 3 · 2023: 7 · 2022: 6 · 2021: 3 · 2020: 3
- FWCI
- 1.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Neural Engineering (publishedVersion)
- PubMed (publishedVersion)
- Funders
- MTPConnect’s BioMedTech Horizons
- Australian Research Council Bionic Vision Science and Technology Initiative (SRI 1000006)
- National Health and Medical Research Council Development Project (APP1075773)
- 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 › Biomedical Engineering › Wireless Body Area Networks
- Keywords
- neurostimulation, wireless power transfer, low-power microelectronics, visual cortex stimulation
- MeSH terms
- Electrodes, Implanted, Humans, Microelectrodes, Visual Cortex, Visual Prosthesis, Implantable Neurostimulators, Wireless Technology
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