Abstract
Inherited retinal diseases such as retinitis pigmentosa and age-related macular degeneration (AMD) target the retina at the back of the eyes resulting in severe and permanent blindness in millions worldwide. Patients suffering from such diseases experience poor quality of life due to vision loss. Fortunately, while the photoreceptors are damaged, rendering the eyes incapable of detecting incident light, the inner retinal networks remain intact. Recent technological advancements attempt to restore vision by implanting microelectronic retinal prostheses to detect incident light and produce visual information by electrically stimulating the nerves in the remaining network. This chapter reviews recent works and seeks to shine a light on effective design strategies, considerations, and future directions for realizing efficient and safe high-spatial-resolution retinal prosthetic SoCs.
References
Freeman DK, Eddington DK, Rizzo JF, Fried SI (2010) Selective activation of neuronal targets with sinusoidal electric stimulation. J Neurophysiol 104(5):2778–2791
Fried SI, Hsueh HA, Werblin FS (2006) A method for generating precise temporal patterns of retinal spiking using prosthetic stimulation. J Neurophysiol 95(2):970–978
Gosalia K, Weiland J, Humayun M, Lazzi G (2004) Thermal elevation in the human eye and head due to the operation of a retinal prosthesis. IEEE Trans Biomed Eng 51(8):1469–1477
Graf HG et al (2009) High dynamic range CMOS imager technologies for biomedical applications. IEEE J Solid State Circuits 44(1):281–289
Humayun MS et al (1999) Pattern electrical stimulation of the human retina. Vis Res 39(15):2569–2576
Humayun MS et al (2012) Interim results from the international trial of second sight’s visual prosthesis. Ophthalmology 119(24):779–788
Iniewski K (2008) VLSI circuits for biomedical applications. Artech House, Inc., Boston, pp 207–240
Jensen RJ, Rizzo JF (2006) Thresholds for activation of rabbit retinal ganglion cells with a subretinal electrode. Exp Eye Res 83(2):367–373
Li J, Dong Y, Park JH et al (2021) Body-coupled power transmission and energy harvesting. Nat Electron 4:530–538. https://doi.org/10.1038/s41928-021-00592-y
Lo YK, Chen K, Gad P, Liu W (2013) A fully-integrated high-compliance voltage SoC for epi-retinal and neural prostheses. IEEE Trans Biomed Circuits Syst 7(6):761–772
Mathieson K et al (2012) Photovoltaic retinal prosthesis with high pixel density. Nat Photonics 6(6):391–397
Monge M et al (2013) A fully intraocular high-density self-calibrating Epiretinal prosthesis. IEEE Trans Biomed Circuits Syst 7(6):747–760
Muratore DG et al (2019) A data-compressive wired-OR readout for massively parallel neural recording. IEEE Trans Biomed Circuits Syst 13(6):1128–1140
Nanduri D et al (2012) Frequency and amplitude modulation have different effects on the percepts elicited by retinal stimulation. Investig Ophthalmol Vis Sci 53(1):205–214
Ohta J et al (2006) Silicon LSI-based smart stimulators for retinal prosthesis: a flexible and extendable microchip-based stimulator. IEEE Eng Med Biol Mag 25(5):47–59
Palanker D, Vankov A, Huie P, Baccus S (2005) Design of a high-resolution optoelectronic retinal prosthesis. J Neural Eng 2(1):S105
Park JH et al (2020) 1225-channel neuromorphic retinal-prosthesis SoC with localized temperature-regulation. IEEE Trans Biomed Circuits Syst 14(6):1230–1240
Rothermel A et al (2009) A CMOS chip with active pixel array and specific test features for subretinal implantation. IEEE J Solid State Circuits 44(1):290–300
Sarpeshkar R (2011) Ultra low power bioelectronics neuromorphic electronics. Cambridge University Press
Schütz H, Gambach S, Kaim H, Rothermel A (2017) Pixel array with 5×5 spatial highpass filter for a retinal implant. ESSCIRC 2017 – 43rd IEEE European solid state circuits conference, pp 63–66
Shim S, Eom K, Jeong J, Kim SJ (2020a) Retinal prosthetic approaches to enhance visual perception for blind patients. Micromachines 11(5):1–26
Shim S, Park JH, Kim SJ (2020b) Virtual electrodes generated by focused penta-polar current stimulation for neuromodulation. Micro Nano Lett 15(6):374–377
Taschwer A et al (2018) A charge balanced neural stimulator with 3.3 v to 49 v supply compliance and arbitrary programmable current pulse shapes. In: 2018 IEEE biomedical circuits and systems conference, BioCAS 2018 – proceedings, pp 0–3
Viventi J et al (2011) Flexible, foldable, actively multiplexed, high-density electrode array for mapping brain activity in vivo. Nat Neurosci 14(12):1599–1605
Weitz AC et al (2015) Improving the spatial resolution of epiretinal implants by increasing stimulus pulse duration. Sci Transl Med 7(318):1–12
Wilke R et al (2011a) Spatial resolution and perception of patterns mediated by a subretinal 16-electrode array in patients blinded by hereditary retinal dystrophies. Investig Ophthalmol Vis Sci 52(8):5995–6003
Wilke RGH et al (2011b) Electric crosstalk impairs spatial resolution of multi-electrode arrays in retinal implants. J Neural Eng 8(4):046016. http://stacks.iop.org/1741-2552/8/i=4/a=046016
Wu CY et al (2020) CMOS 256-pixel/480-pixel photovoltaic-powered subretinal prosthetic chips with wide image dynamic range and bi/four-directional sharing electrodes and their ex vivo experimental validations with mice. IEEE Trans Circuits Syst I: Regular Papers 67(10):3273–3283
Zrenner E (2013) Fighting blindness with microelectronics. Sci Transl Med 5(210):210ps16
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Park, J.H., Wu, H., Tan, J.S.Y., Yoo, J. (2021). Biphasic Current Stimulator for Retinal Prosthesis. In: Sawan, M. (eds) Handbook of Biochips. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6623-9_70-1
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DOI: https://doi.org/10.1007/978-1-4614-6623-9_70-1
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