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首页> 外文会议>International Conference on Measuring Technology and Mechatronics Automation >An Optimized Computational Model of Retinal Ganglion Cells and Electrical Stimulation with Varied Epiretinal Electrode
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An Optimized Computational Model of Retinal Ganglion Cells and Electrical Stimulation with Varied Epiretinal Electrode

机译：视网膜神经节细胞的电刺激和视网膜神经节细胞的优化计算模型

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摘要

Epiretinal prosthesis is a promising approach to help the blind restore partial visual function and has achieved preliminarily clinical success. Computational modeling and simulation is an efficient way to systematically investigate the responses of retinal electrical stimulation theoretically. The objective of this study was to establish an optimized hybrid model to better reflect more realistic human retina, and therefore to achieve more accurate study of retinal ganglion cell (RGC) excitation characteristics under varied electrical stimulus. Multilayered finite-element models (FEM) of peri-central (C)and peripheral (P) macular area were constructed to calculate extracellular electric potential with varied electrode diameter and distance to the retina. Four types of midget ganglion cell with different morphologies were developed to estimate RGC responses under varied stimulations. Furthermore, a randomized distributed multiple RGC model was built based on realistic human retina statistics. The multi-RGC model was utilized to further study the RGC population response to electric stimulation with varied electrode parameters. These results would provide a theoretical basis for electrode design of epiretinal prosthesis.
机译：前视网膜假体是一种有前途的方法，可以帮助盲人恢复部分视觉功能，并已初步取得了临床成功。计算建模和仿真是从理论上系统地研究视网膜电刺激反应的有效途径。这项研究的目的是建立一种优化的混合模型，以更好地反映更逼真的人类视网膜，从而在各种电刺激下实现对视网膜神经节细胞（RGC）激发特性的更准确的研究。构建了围绕中央（C）和周边（P）的黄斑区域的多层有限元模型（FEM），以计算具有变化的电极直径和距视网膜的距离的细胞外电势。开发了四种具有不同形态的小型神经节细胞，以估计在不同刺激下的RGC反应。此外，基于现实的人类视网膜统计数据，建立了一个随机分布的多个RGC模型。多重RGC模型用于进一步研究RGC群体对电极参数变化对电刺激的反应。这些结果将为视网膜假体电极设计提供理论依据。

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