Understanding biological vision repairment using neurostimulation

Vanita Kareer, Shruty Ahuja, Anjali Chhabra
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Abstract

Blindness is the most serious ailment that people suffer. The main motive to build Bionic eye is to copy human eye neural circuit, it aims at restoring the lookout vision to people living with blindness and low vision. In this paper a fuzzy adaptive visual processing method is used to get the function similar to neurostimulator. This technology helps to restore vision to blind people by linking Information Technology and Biotechnology and providing stimulation of visual cortex of brain electrically. It describes the formulation of artificial vision system and gives the working of neurostimulation model of artificial silicon retina, and overcomes the drawbacks of system available at present. At the end the strategy is applied to the real bionic eye system based on the model and the performance of the system is measured with the help of lot of experiments which conforms the vision to blind people.
利用神经刺激了解生物视觉修复
失明是人们所遭受的最严重的疾病。仿生眼的主要目的是复制人眼的神经回路,旨在恢复失明和弱视人群的瞭望视力。本文采用模糊自适应视觉处理方法来获得类似于神经刺激器的功能。该技术将信息技术和生物技术相结合,通过电刺激大脑视觉皮层,帮助盲人恢复视力。介绍了人工视觉系统的组成,给出了人工硅视网膜神经刺激模型的工作原理,克服了现有系统的不足。最后,将该策略应用于基于该模型的真实仿生眼系统,并通过大量实验对系统的性能进行了测试,该系统符合盲人的视觉要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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