Design of an Integrated Subretinal Implant Using Cellular Neural Networks for Binary Image Generation in a 130 Nm BiCMOS Process.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society(2019)
摘要
Blindness caused by the eye diseases Retinitis-Pigmentosa and Age-Related-Macular-Degeneration leads to a degeneration of the photoreceptor layer while postsynaptic cells mostly stay intact. In this Paper a new concept for retinal implants is proposed. Instead of converting the incident light to a gray-scale picture with corresponding continuous-value stimulation levels, we here suggest to produce a binary image picture that only highlight edges in order to stimulate the retina solely at points which belong to an edge. An integrated test circuit is designed with a 130 nm BiCMOS process by using cellular neural networks for binary image generation. The circuit yields a simulated maximum rated power consumption of 2.61 mW for a 1000 information processing cells.
更多查看译文
关键词
Animals,Blindness,Macular Degeneration,Prostheses and Implants,Retina,Retinitis Pigmentosa,Visual Prosthesis
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要