Hybrid fitting for a visual prosthesis

US9403006B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9403006-B2
Application numberUS-201514752507-A
CountryUS
Kind codeB2
Filing dateJun 26, 2015
Priority dateOct 3, 2011
Publication dateAug 2, 2016
Grant dateAug 2, 2016

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

The present invention is an improved fitting and training system for a visual prosthesis. Fitting a visual prosthesis through automated means is challenging and fitting a visual prosthesis manually is tedious for clinician and patent, and provides great opportunity for error. A hybrid of computer controlled and manual fitting provides effective, efficient and controlled fitting process. The process includes testing a group of electrodes in random order by providing a prompt followed by stimulation and the patient responding if they saw a percept. After each set, a maximum likelihood algorithm is used to determine the next stimulation level, or if further stimulation is needed for each electrode.

First claim

Opening claim text (preview).

The invention claimed is: 1. A method of brightness fitting a visual prosthesis comprising: a. providing an array of electrodes suitable to contact visual neural tissue; b. activating a prompt; c. activating a signal at a level on a selected electrode within a subset of the array of electrodes; d. receiving a yes response from a subject indicating a visual perception at a threshold brightness level or a no response from the subject indicating no visual perception; e. recording the yes or no response; f. applying a predetermined computer algorithm which predicts a confidence of a correct answer based upon consistency of previous answers to determine a next activation level on the selected electrode; and g. repeating steps b through f until the electrode is fit; and h. repeating the steps b through g for each electrode in the subset. 2. The method according to claim 1 , wherein the signal is a signal on an individual electrode. 3. The method according to claim 1 , wherein the signal is a signal on a plurality of electrodes. 4. The method according to claim 3 , wherein the plurality is four. 5. The method according to claim 1 , wherein the prompt is an audio prompt. 6. The method according to claim 1 , wherein the step of activating a signal includes activating no signal at a pseudorandom interval. 7. The method according to claim 1 , wherein the predetermined algorithm is a maximum likelihood algorithm. 8. The method according to claim 7 , wherein the maximum likelihood algorithm is according to the equation L i = ∏ q = 1 m ⁢ ⁢ ( p q , i ) n yes , q · ( 1 - p q , i ) n no , q Where: L i is the likelihood that the threshold value is at level i p q,i is the probability, according to the Psychometric Function, that the patient will perceive a stimulation at level q given that the threshold is at level i n yes,q is the number of Yes responses in all previous presentations (trials) at level q n no,q is the number of No responses in all previous presentations (trials) at level q m is the number of levels in the range—the highest level. 9. A method of fitting a visual prosthesis comprising: a. providing an array of electrodes suitable to contact visual neural tissue; b. activating a prompt; c. activating a signal on an electrode within a subset of the array of electrodes; d. receiving a response from a subject indicating a visual perception; e. recording the response; f. repeating steps b through e for each electrode in the subset; g. interpolating responses on electrodes not in the subset; and h. applying a predetermined algorithm which predicts a confidence of a correct answer based upon consistency of previous answers to determine a next activation signal. 10. The method according to claim 9 , wherein the prompt is an audio prompt. 11. The method according to claim 9 , wherein the step of activating a signal includes activating no signal at a pseudorandom interval.

Assignees

Inventors

Classifications

  • of the eye · CPC title

  • Details of algorithms or data aspects of communication system, e.g. handshaking, transmitting specific data or segmenting data · CPC title

  • providing test stimulations · CPC title

  • Retinal electrodes · CPC title

  • User interfaces, e.g. input or presentation means · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US9403006B2 cover?
The present invention is an improved fitting and training system for a visual prosthesis. Fitting a visual prosthesis through automated means is challenging and fitting a visual prosthesis manually is tedious for clinician and patent, and provides great opportunity for error. A hybrid of computer controlled and manual fitting provides effective, efficient and controlled fitting process. The pro…
Who is the assignee on this patent?
Second Sight Medical Products Inc
What technology area does this patent fall under?
Primary CPC classification A61N1/36046. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Aug 02 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).