Embracing the irregular: A patient-specific image processing strategy for visual prostheses
Abstract
We propose a stimulation strategy for retinal prostheses that makes use of irregular shapes of elicited phosphenes. It is patient specific and thus relies on prior psychophysical measurements. Visual perceptions are stored in a phosphene map that relates stimulation parameters to the visual stimulus elicited. Based on this map, stimulation parameters are chosen in such a way that the edges of the target image are optimally represented through the shape of the phosphene. In a psychophysical pilot study, we compare this approach to one in which we choose phosphenes to match the brightness of the target image. We find that participants perform similarly well with both strategies overall. However, the results indicate that each strategy may have advantages for different stimulus sizes. Both of the proposed strategies are novel in using only previously recorded phosphenes rather than a model based on idealized assumptions about the relationship between stimulation parameters and phosphene properties.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A first study used previously measured visual percepts as a dictionary to optimize image recognition and then evaluate them under simulated prosthetic vision settings using AI.
“A first study used previously measured visual percepts as a dictionary to optimize image recognition and then evaluate them under simulated prosthetic vision settings using AI.92”
From Visual Prostheses in the Era of Artificial Intelligence Technology (2025) · cites this paper as [92]
The citation lists haven’t been fetched yet
References 12 · Cited by 9
- Authors
- Kiral-Kornek, F. I., Savage, C. O., O'Sullivan-Greene, E., Burkitt, A. N., & Grayden, D. B.
- Affiliations
- The University of Melbourne (AU)
- Venue
- 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Publisher
- IEEE
- Published
- 2013-07
- Volume
- 2013
- Pages
- 3563-3566
- ISSN
- 2375-7477 (ISSN-L)
- OpenAlex
- W1985937619
- Cited by
- 9
- References
- 12
- Citations by year
- 2025: 2 · 2022: 3 · 2017: 2 · 2015: 1 · 2014: 1
- FWCI
- 1.77
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (publishedVersion)
- PubMed (publishedVersion)
- Funders
- State Government of Victoria
- Australian Research Council
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Treatment
- Keywords
- retinal prosthesis, phosphenes, psychophysical measurement, stimulation parameter selection, brightness matching, visual perception
- MeSH terms
- Humans, Image Processing, Computer-Assisted, Phosphenes, Photic Stimulation, Pilot Projects, Psychophysics, Visual Perception, Visual Prosthesis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review