Retinal Stimulator ASIC Architecture Based on a Joint Power and Data Optical Link
Abstract
Retinal implants aim to partially restore vision to patients suffering from blindness caused by age-related macular degeneration (AMD) or retinitis pigmentosa (RP). Up until now, most prostheses were powered using an inductive link coupled with cables penetrating through the eyeball. Although they efficiently power the implant, they limit long-term reliability and cause postoperative complications. A fully wireless near-infrared power and data link entering the eye through the pupil alleviates these issues but limits the available power and causes energy supply interruptions during blinking. This article presents a retinal implant ASIC architecture optimized for optical operation despite these constraints. It contains 288 individually controlled electrode drivers, each connected to electrode pads with a pitch of 150 μm. A digital controller with a stateless communication scheme allows flexible stimulation sequences and is capable of restoring stimulation within 3 ms after an eye blink. The prototype was fabricated using a CMOS 65-nm low-power technology and occupies an area of 2.8 × 3.1 mm2with a static power consumption of 3.1 mW.
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Voltage controlled stimulation is the simplest and can ensure electrode potentials remain within the water window; however, variations in stimulus current with respect to the electrode load lead to uncertainty in efficacy and challenges with charge-balancing.
“V oltage controlled stimulation is the simplest and can ensure electrode potentials remain within the water window; however, variations in stimulus current with respect to the electrode load lead to uncertainty in efficacy and challenges with charge-balancing [66].”
From Active Neural Interface Circuits and Systems for Selective Control of Peripheral Nerves: A Review (2024) · cites this paper as [66]
The static power taken by the biased current mirrors and the area overhead of the localised structure of current DACs can be overcome by current copying methods that copy the voltage of one phase in a storage capacitor, and steer a duplicate of the corresponding stimulation current in another.
“The static power taken by the biased current mirrors and the area overhead of the localised structure of current DACs can be overcome by current copying methods that copy the voltage of one phase in a storage capacitor, and steer a duplicate of the corresponding stimulation current in another [44], [66], as shown in Fig. 5(c).”
From Active Neural Interface Circuits and Systems for Selective Control of Peripheral Nerves: A Review (2024) · cites this paper as [66]
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 [66]
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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
“Voltage controlled stimulation is the simplest and can ensure electrode potentials remain within the water window; however, variations in stimulus current with respect to the electrode load lead to uncertainty in efficacy and challenges with charge-balancing [66].”
Influential
- Authors
- Lemaire, W., Benhouria, M., Koua, K., Besrour, M., Gauthier, L.-P., Martin-Hardy, G., Rossignol, T., Roy, S., & Fontaine, R.
- Affiliations
- Université de Sherbrooke (CA)
- ORCID
- Venue
- IEEE Journal of Solid-State Circuits
- Published
- 2021-07
- Volume
- 56
- Issue
- 7
- Pages
- 2158-2170
- ISSN
- 0018-9200 (ISSN-L)
- 1558-173X
- OpenAlex
- W3119483195
- Cited by
- 32
- References
- 48
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 10 · 2023: 9 · 2022: 7 · 2021: 3
- FWCI
- 3.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Journal of Solid-State Circuits (publishedVersion)
- Funders
- Natural Sciences and Engineering Research Council of Canada NSERC through Collaborative Research and Development (NSERC-CRD 530093)
- Prompt
- CMC Microsystems Canada
- 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
- retinal prosthesis, ASIC architecture, blinking, low-power CMOS, age-related macular degeneration, retinitis pigmentosa, visual prosthesis
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