Methods and systems for evaluating age-related memory loss

US2018228422A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2018228422-A1
Application numberUS-201515506990-A
CountryUS
Kind codeA1
Filing dateSep 15, 2015
Priority dateSep 15, 2014
Publication dateAug 16, 2018
Grant date

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  5. First independent claim

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Abstract

Official abstract text for this publication.

Methods and systems for measuring brain function of a person are disclosed. In some embodiments, the methods include the following: providing a database including digital image files that define intersecting sinusoidal functions; conducting matching trials including displaying a first image selected from the digital image files for a first amount of time, displaying no images for a second amount of time, and displaying both the first image and a second image, prompting the person to identify the first image, recording whether the person correctly identified the first image, and recording an amount of time to complete the matching trial; and conducting recognition trials including displaying an image selected from the digital image files, prompting the person to identify whether the image was displayed in the matching trials, recording whether the person correctly identified whether the image was displayed, and recording an amount of time to complete the recognition trial.

First claim

Opening claim text (preview).

1 . A method of measuring brain function of a person comprising: providing a database including a particular set of digital image files, each of said particular set of digital image files including data that defines intersecting sinusoidal functions; conducting a predetermined number of matching trials, each of said predetermined number of matching trials including displaying to said person in a graphical user interface a first image selected from said particular set of digital image files for a first predetermined amount of time, and displaying both said first image and a second image that is similar to said first image to said person in said graphical user interface, prompting said person to identify said first image from said first and second images, evaluating and recording in said database whether said person correctly identified said first image, and automatically measuring and recording in said database an amount of time said person took to identify either said first or second image; and conducting a predetermined number of recognition trials, each of said predetermined recognition trials including displaying to said person an image selected from said particular set of digital image files, prompting said person to identify whether said image was previously displayed in said predetermined number of matching trials, evaluating and recording in said database whether said person correctly identified whether said image was previously displayed, and automatically measuring and recording in said database an amount of time said person took to identify whether said image was previously displayed. 2 . The method according to claim 1 , wherein each of said particular set of digital image files is a particular closed-loop Lissajous figure defined by x(t)=sin(a(t)+d) and y(t)=sin(b(t)). 3 . The method according to claim 2 , wherein a is equal to one of 1, 2, 3, 4, 5, 6, 7, 8, 11, b is equal to one of 1, 2, 3, 4, 5, 6, and b is not divisible by a. 4 . The method according to claim 3 , wherein if a equals 8, b is equal to one of 2, 3, 4, 5, 6, 7, and if a equals 11, b is equal to one of 2, 3, 4, 5, 6, 7, 8, 9, 10. 5 . The method according to claim 4 , wherein d is equal to one of 1, 2, 3, 4, 5. 6 . The method according to claim 5 , wherein said images displayed during said predetermined number of recognition trials and not displayed during said predetermined number of matching trials have the same approximate value of d. 7 . The method according to claim 2 , wherein said images displayed in said predetermined number of recognition trials include an equal number of target images and foil images, said target images being images that were displayed in said predetermined number of matching trials and said foil images being images that were not displayed in said predetermined number of matching trials. 8 . A system for measuring brain function of a person comprising: a computer module having interconnected components, said components including a microprocessor, a computer readable medium, a graphical user interface, and an input device; an image generation module including a database having a particular set of digital image files, each of said particular set of digital image files including data that defines intersecting sinusoidal functions, said database being in digital communication with said computer module; a matching trial module for conducting a predetermined number of matching trials, each of said predetermined number of matching trials including displaying to said person in said graphical user interface a first image selected from said particular set of digital image files for a first predetermined amount of time, and displaying both said first image and a second image that is similar to said first image to said person in said graphical user interface, prompting said person to identify said first image from said first and second images using said input device, evaluating and recording in said database whether said person correctly identified said first image, and automatically measuring and recording in said database an amount of time said person took to identify either said first or second image; and a recognition trial module for conducting a predetermined number of recognition trials, each of said predetermined recognition trials including displaying to said person an image selected from said particular set of digital image files, prompting said person to identify whether said image was previously displayed in said predetermined number of matching trials using said input device, evaluating and recording in said database whether said person correctly identified whether said image was previously displayed, and automatically measuring and recording in said database an amount of time said person took to identify whether said image was previously displayed; wherein said image generation module, said matching trial module, and said recognition trial module are defined by a set of instructions executed by said microprocessor under direction of said person. 9 . The system according to claim 8 , wherein each of said particular set of digital image files is a particular closed-loop Lissajous figure defined by x(t)=sin(a(t)+d) and y(t)=sin(b(t)). 10 . The system according to claim 9 , wherein a is equal to one of 1, 2, 3, 4, 5, 6, 7, 8, 11, b is equal to one of 1, 2, 3, 4, 5, 6, and b is not divisible by a. 11 . The system according to claim 10 , wherein if a equals 8, b is equal to one of 2, 3, 4, 5, 6, 7, and if a equals 11, b is equal to one of 2, 3, 4, 5, 6, 7, 8, 9, 10. 12 . The system according to claim 11 , wherein d is equal to one of 1, 2, 3, 4, 5. 13 . The system according to claim 12 , wherein said images displayed during said predetermined number of recognition trials and not displayed during said predetermined number of matching trials have the same approximate value of d. 14 . A method of measuring brain function of a person comprising: conducting a predetermined number of matching trials, each of said predetermined number of matching trials including automatically generating and displaying to said person in a graphical user interface a particular closed-loop Lissajous figure defined by x(t)=sin(a(t)+d), y(t)=sin(b(t)) for a first predetermined amount of time, and displaying both said first image and generating and displaying a second image that is similar to said first image to said person in said graphical user interface, prompting said person to identify said first image from said first and second images, recording values of a, b, and d for said first and second images in a database, evaluating and recording in said database whether said person correctly identified said first image, and automatically measuring and recording in said database an amount of time said person took to identify either said first or second image; and conducting a predetermined number of recognition trials, each of said predetermined recognition trials including displaying to said person an image selected from said particular set of digital image files, prompting said person to identify whether said image was previously displayed in said predetermined number of matching trials, evaluating and recording in said database whether said person correctly identified whether said image was previously displayed, and automatically measuring and recording in said database an amount of time said person took to identify whether said image was previously displayed. 15 . The method according to claim 14 , wherein said first and second images generated and displayed in said predetermined number of matching trials are randomly selected.

Assignees

Inventors

Classifications

  • of still image data · CPC title

  • Selection of displayed objects or displayed text elements (G06F3/0482 takes precedence) · CPC title

  • Displaying user selection data, e.g. icons in a graphical user interface · CPC title

  • Devices for psychotechnics (using teaching or educational appliances G09B1/00 - G09B7/00); Testing reaction times {; Devices for evaluating the psychological state} · CPC title

  • A61B5/4064Primary

    Evaluating the brain (for intracranial pressure A61B5/031; for cerebral blood gases A61B5/14553; using EEG A61B5/369) · CPC title

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What does patent US2018228422A1 cover?
Methods and systems for measuring brain function of a person are disclosed. In some embodiments, the methods include the following: providing a database including digital image files that define intersecting sinusoidal functions; conducting matching trials including displaying a first image selected from the digital image files for a first amount of time, displaying no images for a second amoun…
Who is the assignee on this patent?
Univ Columbia
What technology area does this patent fall under?
Primary CPC classification A61B5/4064. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Thu Aug 16 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). 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).