3D-stacked retinal prosthesis chip with binary image capture and edge detection functions for human visual restoration
Author:
Affiliation:
1. Graduate School of Engineering, Tohoku University
2. Graduate School of Biomedical Engineering, Tohoku University
3. Graduate School of Engineering, Nagasaki Institute of Applied Science
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Electrical and Electronic Engineering,Condensed Matter Physics,Electronic, Optical and Magnetic Materials
Link
https://www.jstage.jst.go.jp/article/elex/19/23/19_19.20220363/_pdf
Reference34 articles.
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2. [2] L.N. Ayton, et al.: “An update on retinal prostheses,” Clin. Neurophysiol. 131 (2020) 1383 (DOI: 10.1016/j.clinph.2019.11.029).
3. [3] M.N. Shivdasani, et al.: “Evaluation of stimulus parameters and electrode geometry for an effective suprachoroidal retinal prosthesis,” J. Neural Eng. 7 (2010) 036008 (DOI: 10.1088/1741-2560/7/3/036008).
4. [4] D.-H. Choi, et al.: “A 4.49nW/pixel light-to-stimulus duration converter-based retinal prosthesis chip,” IEEE Trans. Biomed. Circuits Syst. 15 (2021) 1140 (DOI: 10.1109/TBCAS.2021.3128418).
5. [5] G. Dagnelie, et al.: “Performance of real-world functional vision tasks by blind subjects improves after implantation with the Argus® II retinal prosthesis system,” Clin. Experiment. Ophthalmol. 45 (2017) 152 (DOI: 10.1111/ceo.12812).
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