论文标题
实时优化视觉假体的当前转向
Real-Time Optimization of the Current Steering for Visual Prosthesis
论文作者
论文摘要
在多电极阵列上的电流转向通常用于塑造神经组织中的电场，以提高刺激的选择性和功效。以前，组织中电场的模拟需要为每组刺激参数进行单独计算。这种方法不仅是建模时间耗时的方法，而且在大量电极中非常困难，而且与实时应用的实时优化用于实际应用。我们提出了一个框架，以根据预先计算的田地叠加来有效计算神经组织中的电场。这种线性代数框架可以实时优化当前转向的当前转向。对于视网膜假肢的应用，我们演示了如何根据视网膜厚度和与阵列分离为每个患者进行优化的刺激深度，同时最大程度地将电场的侧向限制为空间分辨率所必需的。
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.
