Extraspectral Imaging for Improving the Perceived Information Presented in Retinal Prosthesis

Journal of Healthcare Engineering
Walid Al-AtabanyPatrick Degenaar

Abstract

Retinal prosthesis is steadily improving as a clinical treatment for blindness caused by retinitis pigmentosa. However, despite the continued exciting progress, the level of visual return is still very poor. It is also unlikely that those utilising these devices will stop being legally blind in the near future. Therefore, it is important to develop methods to maximise the transfer of useful information extracted from the visual scene. Such an approach can be achieved by digitally suppressing less important visual features and textures within the scene. The result can be interpreted as a cartoon-like image of the scene. Furthermore, utilising extravisual wavelengths such as infrared can be useful in the decision process to determine the optimal information to present. In this paper, we, therefore, present a processing methodology that utilises information extracted from the infrared spectrum to assist in the preprocessing of the visual image prior to conversion to retinal information. We demonstrate how this allows for enhanced recognition and how it could be implemented for optogenetic forms of retinal prosthesis. The new approach has been quantitatively evaluated on volunteers showing 112% enhancement in recognizing objects ov...Continue Reading

References

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Citations

Aug 30, 2018·Journal of Neural Engineering·Ahmed SoltanPatrick Degenaar
Jan 30, 2020·PloS One·Melani Sanchez-GarciaJose J Guerrero
Oct 16, 2020·Journal of Neural Engineering·Zhenyang HouPatrick Degenaar

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Matlab
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