학술논문

Real-Time Optimization of the Current Steering for Visual Prosthesis
Document Type
Working Paper
Source
Subject
Physics - Biological Physics
Electrical Engineering and Systems Science - Image and Video Processing
Quantitative Biology - Neurons and Cognition
Language
Abstract
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.
Comment: 5 pages, 2 figures, submitted to IEEE EMBS NER'21