Design of a Prototype for Vision Prosthesis

Author:

Rao V. Bhujanga1,Seetharamaiah P.2,Sharmili Nukapeyi3

Affiliation:

1. NIAS I I Sc. Campus, Bangalore, India

2. Dept. of CSSE Andhra University, Visakhapatnam, India

3. Gayatri vidya Parishad College of Engineering for Women, Visakhapatnam, India

Abstract

This article describes how the field of vision prostheses is currently being developed around the world to restore useful vision for people suffering from retinal degenerative diseases. The vision prosthesis system (VPS) maps visual images to electrical pulses and stimulates the surviving healthy parts in the retina of the eye, i.e. ganglion cells, using electric pulses applied through an electrode array. The retinal neurons send visual information to the brain. This article presents the design of a prototype vision prosthesis system which converts images/video into biphasic electric stimulation pulses for the excitation of electrodes simulated by an LED array. The proposed prototype laboratory model has been developed for the design of flexible high-resolution 1024-electrode VPS, using an embedded computer-based efficient control algorithm for better visual prediction. The prototype design for the VPS is verified visually through a video display on an LCD/LED array. The experimental results of VPS are enumerated for the test objects, such as, palm, human face and large font characters. The results were found to be satisfactory.

Publisher

IGI Global

Reference24 articles.

1. Visual Prosthesis: Artificial Vision

2. Stimulation strategies for selective activation of retinal ganglion cells. In Proc.;Y.-C.Chang;of the 8th International IEEE EMBS Conference on Neural Engineering, Shanghai,2017

3. Chen, K., Lo, Y. K., Yang, Z., Weiland, J. D., Humayun, M. S., & Liu, W. (2013). A System Verification Platform for High-Density Epiretinal Prostheses. IEEE Transaction on Biomedical Circuits and System, 7(3), 326-337.

4. Neuromuscular Electrical Stimulation for Skeletal Muscle Function.;B. M.Doucet;The Yale Journal of Biology and Medicine,2012

5. Microcomputer-based artificial vision support system for real-time image processing for camera-driven visual prostheses

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