Comparison of electrically-evoked ganglion cell responses in normal and degenerate retina

Jang Hee Ye, Kyung Hwan Kim, Yong Sook Goo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

Retinal prosthesis is regarded as a promising method for restoring vision for the blind with retinal diseases such as retinitis pigmentosa (RP) and age related macular degeneration (ARMD). Among the several prerequisites for retinal prosthesis to succeed, one of the most important factors is the optimization of electrical stimulation applied through the prosthesis. From the previous study, we showed that the electrical characteristics of diseased retina are different from those of normal retina. For the next step, we compared electrically evoked response properties of retinal ganglion cells and established the thresholds for charge density in normal and rd1 mouse using multi-electrode array (MEA). The threshold for charge density was higher in rd1 mouse. The mean values were 254.78 μC/cm2 and 424.62 μC/cm2 in normal and rd1 mouse, respectively.

Original languageEnglish
Title of host publicationProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
PublisherIEEE Computer Society
Pages2465-2468
Number of pages4
ISBN (Print)9781424418152
DOIs
Publication statusPublished - 2008
Event30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada
Duration: 2008 Aug 202008 Aug 25

Publication series

NameProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Other

Other30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Country/TerritoryCanada
CityVancouver, BC
Period08/8/2008/8/25

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

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