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A scalable data transmission scheme for implantable optogenetic visual prostheses.

Zhenyang Hou1, Walid Al-Atabany2, Ramy Farag3

  • 1Newcastle University - School of Engineering, Newcastle upon Tyne, NE1 7RU, United Kingdom.

Journal of Neural Engineering
|October 15, 2020
PubMed
Summary

This study presents a novel video processing system for optogenetic visual prosthetics. It features efficient data compression and power management for effective neural stimulation.

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Computer Science

Background:

  • Optogenetic visual prosthetics aim to restore vision by stimulating neural tissue.
  • Efficient data transmission and power management are critical challenges for implantable devices.

Purpose of the Study:

  • To develop a complete video information processing scheme for optogenetic visual prosthetics.
  • To enable efficient wireless data transfer and stable power delivery to an implantable unit.

Main Methods:

  • A video processing architecture was designed, starting with scene simplification.
  • A novel zero-run length encoding (zRLE) algorithm was developed for video compression and decompression.
  • An even power distribution driver was incorporated for stable optogenetic stimulation.

Main Results:

  • The proposed scheme enables efficient wireless information transfer to an implantable unit.
  • The zRLE algorithm and even power distributor represent key innovations.
  • The processing scheme is implementable on real-time portable hardware.

Conclusions:

  • The developed video processing scheme offers a complete solution for optogenetic visual prosthetics.
  • The zRLE compression and even power distribution are significant advancements.
  • The system's feasibility on portable hardware paves the way for practical visual prosthetics.