SBIR/STTR Research Award

Distance Filtering System for Retinal Implants

Award identifier f69ccf53a9df39ee27318a4a72df9902e9cd6a4be021f9cc90b498406d9c304aAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,890,335

Program and phase

STTR · Phase II

Award year

2016

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
ADVANCED MEDICAL ELECTRONICS CORP
Proposal award date
2016-09-30
Contract end date
2019-08-31
UEI
GJ1KBJPEZL52
Solicitation number
PA14-072
Topic code
N

Research abstract

DESCRIPTION provided by applicant We propose to develop and evaluate the utility of a novel input camera system for retinal prosthetics that allows users to filter optical imagery based on distance from the observer We call this andquot depth filteringandquot which can be accomplished with a depth sensing stereoscopic camera system Retinal prostheses can restore partial vision to people blinded by outer retinal degenerative diseases such as Retinitis Pigmentosa RP or Macular Degeneration The Argus II Retinal Prosthesis System is intended to provide electrical stimulation of the retina to elicit visual perception in blind individuals with near total visionloss due to retinitis pigmentosa The implanted epiretinal array provides a x grid of electrodes Electrical pulses at these pixel sites stimulate the retinaandapos s remaining cells and result in the perception of patterns of light The current spatial resolution is only total pixels but the camera systems that provide image information to the prosthesis user transmit full resolution video information Information in the imagery consists of all visible items within the field of vie ranging for example from nearby obstacles to far away mountain scenery The lack of perceived spatial resolution makes it extremely difficult for prosthesis users to differentiate between important nearby elements within the scene and relatively unimportant distant elements of the scenery or vice versa An image capture and processing system is proposed that selectively removes elements in a viewed scene that are outside a user set depth range We hypothesize that system utility in important tasks such as people or object finding and mobility will be less burden some and performance improved by providing only relevant visual information to the wearer The proposed project seeks to develop and experiment with distance filtered optical imagery as an input modality to retinal implants Two prototype systems will be specified designed built and evaluated in Argus II patients In phase of the proposed project the image processing will be performed by a computer external to the Argus II system In phase a more powerful version of the next generation Argus II video processing unit capable of performing the image processing will be utilized This will be coupled with a new dual camera eyeglass assembly making the phase prototype fully integrated and ready for commercialization in the next generation Argus II system and possibly in other visual prosthesis systems and head mounted electronic low vision aids PUBLIC HEALTH RELEVANCE Retinal prostheses aim to help people who have lost their vision due to degenerative eye conditions such as retinitis pigmentosa to perceive shapes and movement to become more mobile or to perform other day to day activities The proposed project relates to the utilization of distance specific optical imaging as an input modality to a retinal prosthesis thus improving the prosthesis wearerandapos s understanding of the scene by removing unwanted irrelevant information

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

138 SBIR/STTR records share this UEI (1994–2024). Reported award amounts total $61,745,451. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Health and Human Services, Department of Education, National Aeronautics and Space Administration, Department of Homeland Security, Department of Agriculture, National Science Foundation

Agency intelligence

Department of Health and Human Services

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