Adaptive Sensory Technology, Inc.

Ohio State Innovation Foundation

Chinese Academy of Sciences

The Ohio State University

The Schepens Eye Research Institute, Inc.

Beijing Juehua Medical Technology Co., Ltd.

Ohio State Innovative Foundation

Luis A Lesmes

Zhong-Lin Lu

Michael Dorr

Peter Bex

Jiawei Zhou

Pengjing Xu

Deyue Yu

Jongsoo Baek

Chang-Bing Huang

Wuli Jia

Yukai Zhao

The present disclosure relates to systems and methods for characterizing a behavior change of a process. A behavior model that can include a set of behavior parameters can be generated based on behavior data characterizing a prior behavior change of a process. A stimulus parameter for a performance test can be determined based on the set of behavior parameters. An application of the performance test to the process can be controlled based on the stimulus parameter to provide a measure of behavior change of the process. Response data characterizing one or more responses associated with the process during the performance test can be received. The set of behavior parameters can be updated based on the response data to update the behavior model characterizing the behavior change of the process. In some examples, the behavior model can be evaluated to improve or affect a future behavior performance of the process.

Systems and methods for measuring behavior changes of processes

Disclosed herein are system and method for testing and analysis of visual acuity and changes using an acuity model, the acuity model generated based on one or more acuity chart design parameters and candidate acuity parameters calculated using the acuity test data of the subject, the acuity model comprising a chart-specific psychometric function determined using a family of multiple-optotype psychometric functions, and wherein the acuity model is configurable to estimate possibility of obtaining the acuity test data of the subject.

Systems and methods for testing and analysis of visual acuity and its changes

Disclosed herein are methods and systems of evaluating test-retest precision using fractional rank precision or mean-average precision, comprising: a) collecting a test and a retest result of each subject, wherein the results are described in feature space(s) and collected from a vision test machine; b) selecting, a first test result of a first subject; c) calculating distances from the first test result to the retest result of each subject; d) assessing, a similarity between the first test result and the retest result of each subject by ranking the distances in a non-descending order; e) assessing a rank precision for the first subject based on a rank of a distance from the first test result to the retest result of the first subject; f) repeating b), c), d), and e) for each subject; and evaluating, the test-retest precision based on the rank precision for each of the plurality of subjects.

Methods and systems using fractional rank precision and mean average precision as test-retest reliability measures

A system can include a non-transitory memory to store machine readable instructions and data, and a processor to access the non-transitory memory and execute the machine-readable instructions. The machine-readable instruction can include a global module that can be programmed to generate a visual field map (VFM) model that can include a set of visual function map parameters for an entire visual field for a subject. The global module can be programmed to update the set of visual function map parameters corresponding to updating a shape of the VFM based on subject response data generated during each administration of a vision test to a subject.

Systems and methods for measuring visual function maps

The invention provides a method of generating an adaptive partial report for an observer with an apparatus comprising a display, a user interface, and a processor. The apparatus can be a computer system or an electronic device, for example. The method includes the processor characterizing an iconic memory decay function for the observer. The characterization includes determining a prior for a plurality of parameters. The method further includes the processor determining a first stimulus for a first trial based on the prior for the plurality of parameters, the display generating the stimulus for viewing by the observer, the user interface receiving input for the first trial and in response to the stimulus, the processor revising respective parameter values for the parameters based on the received input, and the processor determining a new stimulus for a next trial based on the revised parameter values.

Method of generating an adaptive partial report and apparatus for implementing the same

Systems and methods for using an interocular inhibition procedure (IIP) for discriminating between anisometropic amblyopia and myopia, two disorders commonly confused in visual examination without proper optical correction. Opaque and translucent patching are positioned over the fellow (or untested) eye resulting in different contrast sensitivities in the amblyopic (or tested) eye. A pinhole aperture may be used for identifying amblyopia and myopia/hyperopia.

Method of identifying and eye disorder of an observer and apparatus for implementing the same

Data is received characterizing a result of a first visual sensitivity test assessing capacity to detect spatial form across one or more different target sizes, and different contrasts. Using the received data, one or more first parameters defining a first estimated visual sensitivity for a first range of contrasts and a second range of spatial frequencies is determined. One or more second parameters defining a second estimated visual sensitivity for a third range of contrasts and a fourth range of spatial frequencies is determined using the one or more first parameters and a statistical inference by at least presenting a first visual stimulus, receiving a response, and determining a second visual stimulus based at least on the response and at least a rule. The one or more second parameters is provided. Related apparatus, systems, techniques and articles are also described.

Growing community of inventors

San Diego, CA, United States of America

Luis A Lesmes