视觉假体电流控制的实时优化
Real-Time Optimization of the Current Steering for Visual Prosthesis
摘要：
多电极阵列上的电流导引通常用于使神经组织中的电场成形，以便改善刺激的选择性和功效。以前，组织中的电场的模拟需要对每组刺激参数进行单独计算。这种建模方法不仅耗时，而且很难使用大量电极，而且与实际应用中电流导引的实时优化不兼容。我们提出了一个框架，用于有效计算的电场在神经组织的基础上叠加的领域从预先计算的基础。这样的线性代数框架使得能够实时地优化针对任何目标电场的电流导引。对于视网膜假体的应用，我们演示了如何刺激深度可以优化每个患者的视网膜厚度和从阵列的分离的基础上，同时最大限度地提高空间分辨率所必需的电场的横向限制。
英文摘要：
Current steering on a multi-electrode array is commonly used to shape the electric field in the neural tissue in order to improve selectivity and efficacy of stimulation. Previously, simulations of the electric field in tissue required separate computation for each set of the stimulation parameters. Not only is this approach to modeling time-consuming and very difficult with a large number of electrodes, it is incompatible with real-time optimization of the current steering for practical applications. We present a framework for efficient computation of the electric field in the neural tissue based on superposition of the fields from a pre-calculated basis. Such linear algebraic framework enables optimization of the current steering for any targeted electric field in real time. For applications to retinal prosthetics, we demonstrate how the stimulation depth can be optimized for each patient based on the retinal thickness and separation from the array, while maximizing the lateral confinement of the electric field essential for spatial resolution.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
