The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 16, 2022

Filed:

Mar. 15, 2019
Applicant:

Mimi Hearing Technologies Gmbh, Berlin, DE;

Inventors:

Nicholas R. Clark, Royston, GB;

Vinzenz H. Schönfelder, Berlin, DE;

Tina Baumann, Berlin, DE;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/12 (2006.01); A61B 5/16 (2006.01); A61B 5/00 (2006.01); G06F 3/01 (2006.01);
U.S. Cl.
CPC ...
A61B 5/121 (2013.01); A61B 5/123 (2013.01); A61B 5/16 (2013.01); A61B 5/486 (2013.01); A61B 5/7225 (2013.01); A61B 5/7475 (2013.01); G06F 3/015 (2013.01);
Abstract

Disclosed are systems and methods for user-dependent conditioning of stimuli in tests to elicit user responses to variations of one or more adaptive parameters of a user stimulus signal. The user stimulus signal is generated based on first and second adaptive parameters. The first adaptive parameter is modified to thereby generate a plurality of successive variations in the user stimulus signal, over one or more ranges of values of the second adaptive parameter. In response to modifying the first adaptive parameter, a plurality of user responses from a given user are received. Each user response indicates that one of the plurality of successive variations in the user stimulus signal has occurred. Based on an expected user response curve for the given user and a calculated time interval between successive user responses, an instantaneous rate of change for modifying the first adaptive parameter is adjusted such that the user responses are steered toward a neutral state around the expected user response curve.


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