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:
Jan. 26, 2021

Filed:

Jan. 21, 2020
Applicant:

The Charles Stark Draper Laboratory, Inc., Cambridge, MA (US);

Inventors:

Lev E. Givon, Cambridge, MA (US);

Laura Jane Mariano, Somerville, MA (US);

Abraham Schneider, Andover, MA (US);

John Irvine, Somerville, MA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); A61B 5/00 (2006.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
A61B 5/4088 (2013.01); A61B 5/4842 (2013.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01); A61B 5/743 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 7/0014 (2013.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30016 (2013.01);
Abstract

A method of predicting progression of a cognitive state in a subject is disclosed including obtaining a neuroimage of the subject, acquiring a data sample from the neuroimage, selecting a time at which to predict progression of the cognitive state, and performing a calculation on the data sample by a transformation function to determine data associated with multiple cognitive metrics. A method of evaluating a cognitive state of a subject is also disclosed including providing a convolutional neural network, training the convolutional neural network with reference data to construct a transformation function, using the transformation function to predict multiple cognitive metrics from a subject data sample and a selected time, and determining the cognitive state of the subject from the predicted cognitive metrics. A cognitive evaluation system is also disclosed including a memory, a processor, and a cognitive state prediction component configured to program the processor with a transformation function.


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