MEMS-based system and image processing strategy for epiretinal prosthesis.

Abstract

Retinal prostheses have the potential to restore some level of visual function to the patients suffering from retinal degeneration. In this paper, an epiretinal approach with active stimulation devices is presented. The MEMS-based processing system consists of an external micro-camera, an information processor, an implanted electrical stimulator and a microelectrode array. The image processing strategy combining image clustering and enhancement techniques was proposed and evaluated by psychophysical experiments. The results indicated that the image processing strategy improved the visual performance compared with direct merging pixels to low resolution. The image processing methods assist epiretinal prosthesis for vision restoration.

• Authors: Peng Xia, Jie Hu, Jin Qi, Chaochen Gu, Yinghong Peng
• Journal: Bio-medical materials and engineering (Biomed Mater Eng) Vol. 26 Suppl 1 Pg. S1257-63 ( 2015) ISSN: 1878-3619 [Electronic] Netherlands
• PMID: 26405885 (Publication Type: Congress, Research Support, Non-U.S. Gov't)

Topics

• Electric Stimulation Therapy (instrumentation)
• Electrodes, Implanted
• Equipment Failure Analysis
• Image Interpretation, Computer-Assisted (instrumentation)
• Implantable Neurostimulators
• Micro-Electrical-Mechanical Systems (instrumentation)
• Prosthesis Design
• Signal Processing, Computer-Assisted (instrumentation)
• Visual Prosthesis
• Wireless Technology (instrumentation)