Systems and methods for measuring visual function maps

Zhong Lin Lu; Pengjing Xu; Lius Lesmes; Deyue Yu

Systems and methods for measuring visual function maps

Zhong Lin Lu (Inventor)
, Pengjing Xu (Inventor)
, Lius Lesmes (Inventor)
, Deyue Yu (Inventor)

School of AI and Advanced Computing

Neuroscience Graduate Program
University of Southern California
New York University
NYU-ECNU Institute of Mathematical Sciences at NYU Shanghai
Laboratory of Brain Processes (LOBES)
Adaptive Sensory Technology, Inc.
Ohio State University

Research output: Patent

Abstract

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.

Original language	English
Patent granted number	US10925481B2
Publication status	Published - 23 Feb 2021

Cite this

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abstract = "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.",

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AU - Yu, Deyue

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AB - 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.

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