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Content Provider | IEEE Xplore Digital Library |
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Author | Nanduri, D. Humayun, M.S. Greenberg, R.J. McMahon, M.J. Weiland, J.D. |
Copyright Year | 2008 |
Description | Author affiliation: Department of Biomedical Engineering at the University of Southern California, Los Angeles, 90033 USA (Nanduri, D.) || Department of Biomedical Engineering and Department of Ophthalmology at the University of Southern California, Los Angeles, 90033 USA (Humayun, M.S.; Weiland, J.D.) || Second Sight Medical Products Inc. in Sylmar, CA 91342 USA (Greenberg, R.J.; McMahon, M.J.) |
Abstract | A retinal prosthesis system to restore sight for the blind is under development. The system is analogous to cochlear implants, in which photoreceptor input is bypassed and replaced by direct electrical stimulation of the retinal ganglion cells. Currently, six test subjects have been implanted with a 4×4 electrode array and stimulator. We report here psychophysical clinical data examining how stimulation amplitude affects phosphene shape and repeatability on a single electrode. Phosphene shape data was quantified by a set of numerical descriptors calculated from image moments. Comparison of phosphene descriptors for a single electrode across repeated trials and amplitude levels measured the repeatability within an amplitude group. Our experimental findings show that stimulation of the retina creates repeatable percept shapes and that an increase in stimulation amplitude causes a significant change in size and shape of phosphenes. |
Starting Page | 1785 |
Ending Page | 1788 |
File Size | 289718 |
Page Count | 4 |
File Format | |
ISBN | 9781424418145 |
ISSN | 1557170X |
DOI | 10.1109/IEMBS.2008.4649524 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-08-20 |
Publisher Place | Canada |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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