A Multichannel High-Frequency Power-Isolated Neural Stimulator With Crosstalk Reduction
Open accessAbstract
In neuroprostheses applications requiring simultaneous stimulations on a multielectrode array, electric crosstalk, the spatial interaction between electric fields from various electrodes is a major limitation to the performance of multichannel stimulation. This paper presents a multichannel stimulator design that combines high-frequency current stimulation (using biphasic charge-balanced chopped pulse profile) with a switched-capacitor power isolation method. The approach minimizes crosstalk and is particularly suitable for fully integrated realization. A stimulator fabricated in a 0.6 μm CMOS high-voltage technology is presented. It is used to implement a multichannel, high-frequency, power-isolated stimulator. Crosstalk reduction is demonstrated with electrodes in physiological media while the efficacy of the high-frequency stimulator chip is proven in vivo. The stimulator provides fully independent operation on multiple channels and full flexibility in the design of neural modulation protocols.
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High compliance voltage for current stimulation consumes large amounts of power and may result in redundant voltage overhead on the electrodes, as their impedance may vary over time and position by several orders of magnitude.
“This consumes large amounts of power and may result in redundant voltage overhead on the electrodes, as their impedance may vary over time and position by several orders of magnitude [78], [128].”
From Active Neural Interface Circuits and Systems for Selective Control of Peripheral Nerves: A Review (2024) · cites this paper as [78]
The Discussion (G. Discussion; page unavailable) says dynamic supply-voltage control could improve power efficiency by reducing redundant voltage headroom on the electrodes. It does not say that electrode impedance varies over time and position by several orders of magnitude, or specifically attribute large power consumption to high compliance voltage. (LLM, conf=0.84)
Experimental — accuracy not yet measuredHV technologies provide thick gate oxide devices that withstand higher voltages and superior isolation between stimulating channels, particularly via shallow or deep trench isolation, which separates the module substrates, thus limiting the occurrence of crosstalk.
“HV technologies provide thick gate oxide devices that withstand higher voltages and superior isolation between stimulating channels, particularly via shallow or deep trench isolation, which separates the module substrates, thus limiting the occurrence of crosstalk [78].”
From Active Neural Interface Circuits and Systems for Selective Control of Peripheral Nerves: A Review (2024) · cites this paper as [78]
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Experimental — accuracy not yet measuredProximity of interface sites on tissue can result in crosstalk between channels due to current spread, which can compromise efficacy of the neural interface solution, requiring electrical or physical isolation between interface channels.
“However, the proximity of interface sites on the tissue can result in crosstalk between channels due to current spread. This can compromise the efficacy of the neural interface solution [77], requiring electrical [78] or physical isolation between the interface channel [71].”
From Active Neural Interface Circuits and Systems for Selective Control of Peripheral Nerves: A Review (2024) · cites this paper as [78]
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Cites
Restoring natural sensory feedback in real-time bidirectional hand prostheses
Raspopovic, S., Capogrosso, M., Petrini, F. M., Bonizzato, M., Rigosa, J., Di Pino, G., Carpaneto, J., Controzzi, M., Boretius, T., Fernandez, E., et al. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3006820 · Cited by 1,001 · see citing works
Cochlear Implants: System Design, Integration, and Evaluation
Zeng, F.-G., Rebscher, S., Harrison, W., Sun, X., & Feng, H. (2008) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2008.2008250 · Cited by 878 · 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
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
Shepherd, R. K., & Javel, E. (1999) · Hearing Research · doi:10.1016/s0378-5955(99)00011-8 · Cited by 189 · see citing works
Santina, C. C. D., Migliaccio, A. A., & Patel, A. H. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2007.894629 · Cited by 173 · 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
Prototype Neural Semicircular Canal Prosthesis using Patterned Electrical Stimulation
Gong, W., & Merfeld, D. M. (2000) · Annals of Biomedical Engineering · doi:10.1114/1.293 · Cited by 141 · 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
A Microchannel Neuroprosthesis for Bladder Control After Spinal Cord Injury in Rat
Chew, D. J., Zhu, L., Delivopoulos, E., Minev, I. R., Musick, K. M., Mosse, C. A., Craggs, M., Donaldson, N., Lacour, S. P., McMahon, S. B., et al. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3007186 · Cited by 123 · see citing works
Wilson, B. S., Finley, C. C., Lawson, D. T., Wolford, R. D., & Zerbi, M. (1993) · PubMed · Cited by 109 · see citing works
A 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
An Energy-Efficient, Dynamic Voltage Scaling Neural Stimulator for a Proprioceptive Prosthesis
Williams, I. A., & Constandinou, T. G. (2013) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2013.2256906 · Cited by 101 · see citing works
Jiang, D., Cirmirakis, D., Schormans, M., Perkins, T. A., Donaldson, N., & Demosthenous, A. (2016) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2016.2580513 · Cited by 94 · see citing works
Self-citationAcclimation to Chronic Constant-Rate Peripheral Stimulation Provided by a Vestibular Prosthesis
Merfeld, D. M., Gong, W., Morrissey, J. H., Saginaw, M. A., Haburcakova, C., & Lewis, R. F. (2006) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.883645 · Cited by 93 · see citing works
A three-dimensional self-opening intraneural peripheral interface (SELINE)
Cutrone, A., Valle, J. D., Santos, D., Badia, J., Filippeschi, C., Micera, S., Navarro, X., & Bossi, S. (2015) · Journal of Neural Engineering · doi:10.1088/1741-2560/12/1/016016 · Cited by 82 · see citing works
An advanced multiple channel cochlear implant
McDermott, H. J. (1989) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.32112 · Cited by 81 · see citing works
Retinal Neurostimulator for a Multifocal Vision Prosthesis
Wong, Y. T., Dommel, N., Preston, P., Hallum, L. E., Lehmann, T., Lovell, N. H., & Suaning, G. J. (2007) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2007.903958 · Cited by 79 · see citing works
A Partial-Current-Steering Biphasic Stimulation Driver for Vestibular Prostheses
Constandinou, T. G., Georgiou, J., & Toumazou, C. (2008) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2008.927238 · Cited by 76 · see citing works
Chiang, B., Fridman, G. Y., Dai, C., Rahman, M. A., & Santina, C. C. D. (2011) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2011.2164937 · Cited by 65 · see citing works
A Stimulator ASIC Featuring Versatile Management for Vestibular Prostheses
Jiang, D., Demosthenous, A., Perkins, T. A., Liu, X., & Donaldson, N. (2011) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2011.2138139 · Cited by 54 · see citing works
Self-citationHsu, W.-Y., & Schmid, A. (2017) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2017.2694144 · Cited by 49 · see citing works
Davidovics, N. S., Fridman, G. Y., & Santina, C. C. D. (2012) · Experimental Brain Research · doi:10.1007/s00221-012-3025-8 · Cited by 48 · see citing works
van Dongen, M. N., & Serdijn, W. A. (2014) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2014.2363736 · Cited by 40 · see citing works
Wilson, B. S., & Dorman, M. F. (2008) · IEEE Sensors Journal · doi:10.1109/jsen.2007.912917 · Cited by 40 · see citing works
Liu, X., Demosthenous, A., Vanhoestenberghe, A., Jiang, D., & Donaldson, N. (2012) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2011.2174360 · Cited by 39 · see citing works
Self-citationFlexible Charge Balanced Stimulator With 5.6 fC Accuracy for 140 nC Injections
Nag, S., Jia, X., Thakor, N. V., & Sharma, D. (2012) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2012.2205574 · Cited by 38 · see citing works
A CMOS Neural Interface for a Multichannel Vestibular Prosthesis
Hageman, K. N., Kalayjian, Z. K., Tejada, F. J., Chiang, B., Rahman, M. A., Fridman, G. Y., Dai, C., Pouliquen, P. O., Georgiou, J., Santina, C. C. D., et al. (2015) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2015.2409797 · Cited by 36 · see citing works
Lu, Y., Yan, Y., Chai, X., Ren, Q., Chen, Y., & Li, L. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/3/036022 · Cited by 32 · see citing works
An Implantable Versatile Electrode-Driving ASIC for Chronic Epidural Stimulation in Rats
Giagka, V., Eder, C. F., Donaldson, N., & Demosthenous, A. (2014) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2014.2330859 · Cited by 25 · see citing works
Self-citationDevelopment, manufacturing and application of double-sided flexible implantable microelectrodes
Poppendieck, W., Sossalla, A., Krob, M.-O., Welsch, C., Nguyen, T. A. K., Gong, W., DiGiovanna, J., Micera, S., Merfeld, D. M., & Hoffmann, K. (2014) · Biomedical Microdevices · doi:10.1007/s10544-014-9887-8 · Cited by 25 · see citing works
A Vestibular Prosthesis With Highly-Isolated Parallel Multichannel Stimulation
Jiang, D., Cirmirakis, D., & Demosthenous, A. (2015) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2014.2323310 · Cited by 20 · see citing works
Self-citationA custom-designed receiver-stimulator chip for an advanced multiple-channel hearing prosthesis
McDermott, H. J. (1991) · IEEE Journal of Solid-State Circuits · doi:10.1109/4.90069 · Cited by 15 · see citing works
van Dongen, M. N., Hoebeek, F. E., Koekkoek, S. K. E., De Zeeuw, C. I., & Serdijn, W. A. (2015) · Frontiers in Neuroengineering · doi:10.3389/fneng.2015.00002 · Cited by 15 · see citing works
Microchannel neural interface manufacture by stacking silicone and metal foil laminae
Lancashire, H. T., Vanhoestenberghe, A., Pendegrass, C. J., Ajam, Y. A., Magee, E., Donaldson, N., & Blunn, G. W. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/3/034001 · Cited by 13 · see citing works
Advances in Scalable Implantable Systems for Neurostimulation Using Networked ASICs
Liu, X., Zong, Z., Jiang, D., Bougaila, B., Donaldson, N., & Demosthenous, A. (2016) · IEEE Design and Test · doi:10.1109/mdat.2016.2533358 · Cited by 7 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- B. Chiang, G. Fridman, C. Dai, M. Rahman, and C. Della Santina, "Design and performance of a multichannel vestibular prosthesis," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 19, no. 5, pp. 588-598, Oct. 2011.
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Son, J.-Y., & Cha, H. (2020) · IEEE Access · doi:10.1109/access.2020.3012028 · Cited by 35 · see citing works
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- Authors
- Jiang, D., & Demosthenous, A.
- Affiliations
- University College London (GB)
- Venue
- IEEE Transactions on Biomedical Circuits and Systems
- Published
- 2018-08
- Volume
- 12
- Issue
- 4
- Pages
- 940-953
- ISSN
- 1932-4545 (ISSN-L)
- 1940-9990
- OpenAlex
- W2886606287
- Cited by
- 36
- References
- 36
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 7 · 2023: 3 · 2022: 6 · 2021: 6 · 2020: 3 · 2019: 1 · 2018: 1
- FWCI
- 1.24
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- IEEE Transactions on Biomedical Circuits and Systems (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Engineering and Physical Sciences Research Council (EP/F009593/1)
- European Commission
- 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 › Radio Frequency Integrated Circuit Design
- Keywords
- neural stimulator, multichannel stimulation, microelectrode arrays, neural prostheses, in vivo stimulation
- MeSH terms
- Animals, Electric Stimulation, Electrodes, Implanted, Equipment Design, Humans, Neurons, Implantable Neurostimulators
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